After careful evaluation of polygraf.ai, We give it a Trust Score of 3.8 out of 5 stars. Polygraf.ai positions itself as a robust AI security platform, specializing in detecting AI threats, protecting sensitive data, and preventing risks. Their primary focus appears to be on enterprise and government sectors, offering on-premise, explainable Small Language Model SLM AI solutions for critical operations. The site highlights impressive use cases, from detecting insurance fraud and enabling efficient government bill evaluation to analyzing internal communications for national security purposes.

Overall Review Summary:

• Purpose: AI threat detection, sensitive data protection, risk prevention for enterprises and governments.
• Core Technology: On-premise, explainable SLM AI.
• Key Features: Data Privacy, Content Detector AI-generated, synthetic, manipulated, Groundtruth authorship verification, Humanizer regenerates content with zero detectable AI fingerprints, Secure LLM wraps AI tools with redaction, anonymization, audit trails, Sophia detects deception, bias, manipulation in natural language.
• Accuracy Claims: 90.2% accuracy across 27 PII types for detection, 98%+ accuracy for complex fraud patterns, 17–40% higher PII detection accuracy, 14% better deepfake detection, 68% faster performance than legacy tools.
• Deployment: On-premise, zero-trust architectures, portable options.
• Compliance: HIPAA Compliant, SOC 2 Type 1 In Process, SOC 2 Type 2 In Process, IL2 – IL6, HITRUST Upcoming. Also meets GDPR, PCI-DSS, CCPA, and DoD IL2–IL6.
• Customer Data Usage: Explicitly states customer data is not used to train models, and is never stored or reused.
• Awards & Recognition: 2025 SXSW Pitch Winner, SXSW Best in Show 2025, dealroom.co Top Analytics Startup to Watch for Globally 2024, NVIDIA Inception Program Member 2024, Product That Count Top AI & Data Governance Product 2024, Top AI Content Detection Tool 2024, Top AI & Data Category Product 2025 SXSW Top 10 Startup Of The Year 2024, C2PA Contributing Member 2024, Intel Alliance Program Member 2024, Austin Chamber Top AI Startup 2023.
• Transparency: Provides detailed FAQs for enterprises, outlining their technology, compliance, and performance. Clear privacy policy and terms and conditions.
• Missing Elements: While comprehensive for its target audience, specific pricing details are not readily available on the homepage, requiring a demo request. The “For Individuals” link exists but quickly redirects to a contact form or the main enterprise page, suggesting their primary focus is strictly B2B/B2G, making it less accessible for individual users exploring AI detection.

However, a notable point for individual users or smaller businesses is the almost exclusive enterprise focus.

While a “For Individuals” link exists, it seems to be more of a redirection to their contact page or core offerings, indicating that their solutions aren’t tailored for a consumer-level audience.

This isn’t necessarily a flaw for their intended market, but it means that if you’re an individual looking for a quick AI content detector, Polygraf.ai isn’t designed for that casual use.

The absence of direct pricing information on the main site, instead pushing for demo requests, is standard for enterprise solutions but might be a minor hurdle for those wanting a quick cost estimate.

Overall, Polygraf.ai appears to be a highly specialized, secure, and reputable solution for its target enterprise and government clients.

Best Alternatives to Polygraf.ai for Ethical AI and Content Verification Non-Edible Products:

1. Grammarly Business

   • Key Features: Advanced grammar and spelling checks, plagiarism detection, tone adjustments, style guides, team management, enterprise-grade security. While not an AI detector in the same vein as Polygraf.ai, Grammarly’s business suite helps ensure content quality, originality, and adherence to ethical writing standards, making it a crucial tool for preventing unintentional plagiarism or low-quality AI-generated output. Its focus on improving human-written content aligns with ethical productivity.
   • Price: Custom pricing for enterprise, starts at $15/user/month for business plans.
   • Pros: Widely recognized, excellent for content quality, robust plagiarism detection, supports ethical writing practices.
   • Cons: Not designed to detect AI generation per se, more focused on writing enhancement.

2. Turnitin

   • Key Features: Leading plagiarism detection software, AI writing detection, originality reports, grading tools. Primarily used in academic settings, Turnitin is a gold standard for verifying content originality and identifying AI-generated submissions, ensuring academic integrity and ethical authorship.
   • Price: Education and enterprise pricing. requires direct contact for quotes.
   • Pros: Highly accurate plagiarism and AI writing detection, widely trusted in education, strong focus on academic integrity.
   • Cons: Primarily designed for educational institutions, not readily available for individual purchase.

3. Copyscape

   • Key Features: Online plagiarism checker, duplicate content detection, batch search, API for integration. It helps ensure the uniqueness of written content by checking for similar text across the web, thereby supporting ethical content creation and protecting intellectual property.
   • Price: ~$0.03 per search for Copyscape Premium.
   • Pros: Affordable, easy to use, effective for detecting duplicated content.
   • Cons: Does not specifically detect AI generated content, focused solely on plagiarism.

4. Originality.AI

   • Key Features: AI content detection, plagiarism checking, readability analysis, fact-checking. This tool is designed to identify content that has been generated by AI, as well as to check for plagiarism, offering a comprehensive solution for ensuring ethical authorship in a world increasingly filled with AI tools.
   • Price: Starts at $20 for 200 credits $0.01 per 100 words.
   • Pros: Specific focus on AI content detection, combines with plagiarism checks, good for content creators and publishers.
   • Cons: Still a developing field, so 100% accuracy can’t be guaranteed for any AI detector.

5. Crossplag

   • Key Features: Plagiarism checker, AI content detector, text comparison, multilingual support. Crossplag provides tools to ensure content originality and to detect whether text has been written by a human or an AI, supporting fair and honest content practices.
   • Price: Free plan available, paid plans start at $9.95/month.
   • Pros: Offers both plagiarism and AI detection, user-friendly interface, competitive pricing.
   • Cons: Accuracy of AI detection may vary, as with all tools in this nascent field.

6. Quetext

   • Key Features: DeepSearch technology for plagiarism detection, contextual analysis, color-coded feedback, citation assistant. Quetext focuses on advanced plagiarism detection, helping users ensure their content is original and properly attributed, which is fundamental to ethical writing.
   • Price: Free trial available, paid plan is $9.99/month.
   • Pros: Highly accurate plagiarism detection, intuitive interface, detailed originality reports.
   • Cons: Does not offer AI content detection capabilities.

7. ProWritingAid

   • Key Features: Comprehensive writing assistant, grammar and style checker, plagiarism checker add-on, detailed reports on readability, sticky sentences, clichés, and more. While its primary function is writing improvement, its plagiarism checker add-on helps maintain ethical content standards.
   • Price: Free version with limited features, Premium starts at $20/month or $79/year.
   • Pros: Excellent for overall writing quality, integrates with many platforms, comprehensive reports.
   • Cons: Plagiarism detection is an add-on and not its core focus. no dedicated AI content detection.

Find detailed reviews on Trustpilot, Reddit, and BBB.org, for software products you can also check Producthunt.

IMPORTANT: We have not personally tested this company’s services. This review is based solely on our research and information provided by the company. For independent, verified user experiences, please refer to trusted sources such as Trustpilot, Reddit, and BBB.org.

Polygraf.ai Review & First Look

Its core mission is to detect AI threats, protect sensitive data, and proactively prevent risks, primarily for enterprise and government clients. This isn’t just another online tool.

It’s engineered for mission-critical operations, emphasizing on-premise deployment and explainable AI to meet stringent security and compliance demands.

The Rise of AI Detection Needs

The proliferation of advanced AI models like ChatGPT has brought immense benefits but also significant challenges, including the rise of sophisticated deepfakes, AI-generated misinformation, and new avenues for data breaches.

Organizations, particularly those handling classified or sensitive information, face an unprecedented need for robust AI detection and data governance.

Legacy systems often fall short in identifying these new, complex patterns of synthetic content and hidden sensitive information. Herbishield.com Review

Polygraf.ai steps into this gap, offering a specialized suite of tools designed to detect what others miss.

Initial Impressions and Website Analysis

Upon first glance, the polygraf.ai website exudes professionalism and a clear focus on its target audience.

The design is clean, modern, and heavily emphasizes security, trust, and advanced technology.

The homepage immediately highlights their “Secure, On-prem & Explainable SLM AI for Critical Ops,” setting the tone for their high-stakes clientele.

The testimonials from credible figures like a former U.S. Xqqmq.shop Review

Congressman and managing partners at prominent firms add significant weight to their claims.

The inclusion of numerous awards from respected entities like SXSW, NVIDIA, and Product That Count further solidifies their perceived authority and innovation in the AI security domain.

Unpacking the “For Individuals” Link

Interestingly, polygraf.ai includes a “For Individuals” link in its navigation.

However, clicking on this link often redirects back to the main homepage or a contact form, rather than a dedicated portal for individual users.

This suggests that while the option is present, Polygraf.ai’s offerings are overwhelmingly geared towards business-to-business B2B and business-to-government B2G clients. Visamatchuk.com Review

Individual users looking for a free or low-cost AI content detector will likely find this platform beyond their scope, requiring them to explore alternatives.

This strategic focus ensures that their resources are concentrated on high-value, high-security enterprise solutions.

The Importance of On-Premise Solutions

In an era where data sovereignty and privacy are paramount, especially for government and financial institutions, Polygraf.ai’s commitment to on-premise deployment is a significant differentiator.

This means their Small Language Models SLMs run on the customer’s hardware, reducing data transmission to the cloud, minimizing latency, and ensuring that sensitive information remains within the organization’s control.

This architecture is crucial for environments with zero-trust policies and classified operations, directly addressing concerns about data exposure and compliance with strict regulations like DoD IL2-IL6. Travelcch.com Review

First Look at Key Features

The website prominently features several core capabilities:

• Data Privacy: Discover and protect sensitive data across various formats.
• Content Detector: Identifies AI-generated, synthetic, or manipulated content.
• Groundtruth: Verifies authorship and tracks content edits.
• Humanizer: Regenerates content to remove AI fingerprints.
• Secure LLM: Wraps popular AI tools like ChatGPT with redaction and audit trails.
• Sophia: Detects subtle patterns of deception and bias in natural language.

These features collectively present a powerful arsenal for maintaining data integrity, security, and ethical content standards within large organizations.

Polygraf.ai Features

Polygraf.ai boasts an impressive array of features specifically designed to address the complex challenges of AI threats and data security in enterprise and government environments.

These capabilities are built around their core SLM AI technology, emphasizing on-premise deployment for maximum control and compliance.

Data Privacy and Protection

Polygraf.ai’s data privacy capabilities are fundamental to its offering, particularly for organizations handling Personally Identifiable Information PII and Protected Health Information PHI. Wowwowcraft.com Review

• Automated PII/PHI Redaction: The platform excels at automatically identifying and redacting sensitive data across various formats and channels, including files, chats, scanned documents, calls, and cloud storage. This is crucial for maintaining compliance with regulations like HIPAA, GDPR, CCPA, and PCI-DSS.
• On-Premise Processing: By processing data on customer-controlled hardware, Polygraf.ai significantly minimizes the risk associated with transmitting sensitive information to third-party cloud services. This architecture ensures data sovereignty and reduces latency, a critical factor for real-time operations.
• Explainable Audit Logs: Every redaction and detection action comes with a detailed, explainable audit log. This transparency is vital for compliance reporting and internal accountability, allowing organizations to trace exactly how sensitive data is handled and protected.
• Zero-Trust Architecture Compatibility: The system is designed to integrate seamlessly into zero-trust environments, where no user or device is trusted by default, further enhancing the security posture for highly sensitive operations.
• Comprehensive Data Coverage: Polygraf.ai claims 90.2% accuracy across 27 PII types, demonstrating its robust ability to detect diverse categories of sensitive information that might be missed by legacy tools.

Advanced Content Detection

One of Polygraf.ai’s flagship features is its sophisticated content detection capabilities, engineered to identify AI-generated, synthetic, and manipulated content, including deepfakes.

• AI Content Detector: This tool is designed to spot text generated by Large Language Models LLMs, helping organizations discern human-written content from AI-produced material. This is increasingly important for maintaining authenticity and preventing the spread of AI-generated misinformation.
• Deepfake Detection: Beyond text, Polygraf.ai can detect deepfake voices and other forms of manipulated synthetic content. This capability is critical in combating advanced forms of fraud and disinformation campaigns that leverage realistic but fabricated media.
• Groundtruth Verification: This feature allows organizations to verify the authorship and originality of content. It can trace every edit and tampering attempt, providing an immutable chain of custody for important documents and communications. This is particularly valuable in legal, journalistic, or governmental contexts where content integrity is paramount.
• AI Highlighter: This tool likely provides visual cues within documents, highlighting sections identified as potentially AI-generated or containing sensitive information, making review processes more efficient for human analysts.
• Plagiarism & Copyright Detection: While not explicitly detailed on the homepage for standard plagiarism beyond “Groundtruth,” the presence of a “Copyright Detector” and “Plagiarism Detector” in the product list suggests a broader capability to ensure originality and intellectual property protection, which complements AI content detection.

Secure LLM Integration

As organizations increasingly adopt powerful LLMs like ChatGPT, the need for secure integration becomes paramount.

Polygraf.ai’s Secure LLM feature addresses this by acting as a protective wrapper.

• Redaction and Anonymization: When users interact with external LLMs, Polygraf.ai can redact or anonymize inputs before they leave the secure environment, preventing sensitive organizational data from being exposed to third-party AI models. This is a critical safeguard for maintaining privacy and compliance.
• Audit Trails for LLM Interactions: Every interaction with a wrapped LLM is logged and audited, providing a transparent record of how AI tools are used within the organization. This allows for governance, accountability, and the ability to review AI usage for potential risks or misuse.
• Controlled AI Usage: This feature enables organizations to leverage the power of generative AI tools while maintaining strict control over data flow and ensuring that their use aligns with internal policies and external regulations. For example, the case study with Utah’s local government enabling privacy-compliant ChatGPT use demonstrates this in action.
• Integration with Various AI Tools: The system is designed to wrap “ChatGPT and other AI tools,” implying broad compatibility beyond just one specific LLM, providing flexibility for organizations with diverse AI deployments.
• Reduced Data Leakage Risk: By acting as a secure intermediary, Polygraf.ai significantly mitigates the risk of accidental or malicious data leakage that can occur when employees use public AI tools with sensitive company information.

Behavioral and Linguistic Analysis Sophia

The “Sophia” feature represents Polygraf.ai’s capability to delve deeper than surface-level content, analyzing underlying patterns in natural language.

• Deception and Bias Detection: Sophia is designed to detect subtle patterns indicative of deception, bias, or manipulation within natural language communications. This could be invaluable for internal investigations, risk assessment, and understanding sentiment in large datasets.
• Uncovering Invisible Networks and Threats: By analyzing behavioral and linguistic signals, Sophia can help uncover hidden connections and potential threats that might not be immediately obvious. This is crucial for national security, fraud detection, and identifying internal risks.
• No Personal Data Required for Analysis: A key advantage highlighted is that this analysis can be performed without requiring personal data, which further enhances privacy and compliance, particularly important in contexts where data minimization is a priority.
• Anomaly Detection: As seen in the Defense & National Security Israel use case, Sophia can analyze internal communications to detect suspicious behavior and anomalies, potentially identifying illicit activities like terrorist communications or espionage.
• Broader Application: While initially framed for security, the ability to detect bias and manipulation has broader applications in corporate ethics, human resources, and even customer service quality assurance.

Performance and Deployment Advantages

Polygraf.ai not only offers advanced features but also emphasizes superior performance and ease of deployment, critical factors for enterprise adoption. Jackpotreels.online Review

• Superior Detection Accuracy: Polygraf.ai claims to outperform major cloud providers in PII detection accuracy, breadth of coverage, and consistency. They cite 17-40% higher PII detection accuracy and 14% better deepfake detection compared to legacy DLP or cloud AI tools.
• Speed and Efficiency: The platform is designed for speed, claiming to run 68% faster with no GPU overhead compared to other solutions. This translates to real-time detection and rapid threat response, essential for dynamic security environments. “Launch in days, not months. Redact in seconds. Detect in real-time.” is a strong selling point for rapid adoption.
• Simplified Infrastructure: Unlike complex AI infrastructure often required for advanced solutions, Polygraf.ai states “No complex AI infrastructure required,” making it more accessible for organizations that may not have extensive in-house AI expertise.
• Versatile Format and Channel Support: The system can redact, detect, and govern content across a wide range of formats and channels, including various file types, chat applications, scanned documents, voice calls, cloud storage, and LLM interactions. This comprehensive coverage ensures no data point is overlooked.
• Built for Mission-Critical Trust: The combination of on-premise deployment, high accuracy, and explainability positions Polygraf.ai as a solution engineered for environments where trust and precision are non-negotiable, aligning with their focus on sensitive sectors like government and defense.

Polygraf.ai Pros & Cons

When evaluating a sophisticated AI security platform like Polygraf.ai, it’s essential to weigh its strengths against its limitations.

While the company clearly targets a specific high-security, enterprise-level niche, understanding its pros and cons provides a comprehensive picture of its value proposition.

Pros of Polygraf.ai

Polygraf.ai offers several compelling advantages, particularly for its intended audience of large enterprises and government entities.

• Robust On-Premise Solution: The commitment to on-premise deployment is a significant pro for organizations with stringent data sovereignty, privacy, and compliance requirements. This architecture ensures that sensitive data never leaves the controlled environment, a crucial factor for classified operations and industries like finance and defense. The minimal hardware requirements ≥ 8 GB RAM, 1.3 GHz CPU make it accessible for deployment.
• Comprehensive AI Threat Detection: The platform goes beyond simple content detection, offering capabilities to identify deepfakes, manipulated content, and subtle patterns of deception and bias. This holistic approach to AI threat detection addresses a wider spectrum of emerging risks, from misinformation to internal fraud.
• Strong Compliance and Security Focus: With stated compliance with HIPAA, GDPR, PCI-DSS, CCPA, and DoD IL2-IL6 in process or upcoming for some, Polygraf.ai demonstrates a deep understanding of regulatory demands. Features like explainable audit logs and no customer data used for model training further bolster its security posture.
• Enterprise-Grade Features: Tools like Secure LLM for wrapping AI interactions, Groundtruth for authorship verification, and Sophia for behavioral analysis are tailored for complex organizational needs, enabling controlled and compliant AI adoption.
• Credibility and Industry Recognition: The numerous awards SXSW, Product That Count, strategic partnerships NVIDIA, Intel, and endorsements from high-profile individuals former U.S. Congressman lend significant credibility to Polygraf.ai’s capabilities and market position.
• Ethical AI Stance: Their stated vision of AI augmenting human capabilities “without compromising safety, privacy, or ethical standards” aligns with a responsible approach to AI development and deployment. The explicit “no customer data used for training” policy is a strong ethical differentiator.

Cons of Polygraf.ai

Despite its strengths, Polygraf.ai has certain limitations, mainly stemming from its specialized focus.

• Lack of Public Pricing Transparency: Pricing information is not readily available on the website. potential clients are directed to “Schedule a Demo” or “Get in touch.” While common for enterprise-level solutions, this lack of upfront cost indication can be a barrier for initial exploration, especially for smaller businesses or those with limited budgets.
• Exclusively Enterprise/Government Focused: The platform is clearly designed for large organizations with specific, high-security needs. The “For Individuals” link on the website offers minimal utility, effectively redirecting to enterprise contact forms. This means Polygraf.ai is not a viable solution for individual users, freelancers, or small businesses seeking basic AI content detection.
• Complexity for Non-Enterprise Users: The on-premise deployment model, while a pro for its target market, implies a certain level of IT infrastructure and expertise required from the client. This makes it unsuitable for users who prefer simple, cloud-based, plug-and-play solutions.
• Specialized Use Cases: While its features are powerful, they are highly specialized for detecting threats, fraud, and ensuring compliance in sensitive sectors. For general content creators, marketers, or writers, many of Polygraf.ai’s advanced functionalities might be overkill or irrelevant.
• Limited Direct User Reviews for Broader Audience: While the site showcases testimonials from high-profile individuals, readily available user reviews from a wider range of businesses e.g., on platforms like G2, Capterra that are more accessible for general evaluation are less prevalent. This makes it harder for non-enterprise evaluators to gauge broader user satisfaction.
• Potential for Integration Challenges General Enterprise Software: While they claim “Fast to Deploy,” integrating any complex enterprise-level security solution into existing IT ecosystems can present unforeseen challenges, requiring dedicated resources for successful implementation. This is a general observation for such software, not a specific flaw unique to Polygraf.ai, but worth noting for potential adopters.

Does Polygraf.ai Work

The effectiveness of Polygraf.ai is a critical question for potential clients. Smartwavehub.xyz Review

Based on the information presented on their website, the company makes strong claims about its performance and provides evidence through use cases and reported statistics that suggest its solutions are indeed functional and impactful.

Evidence of Functionality and Impact

Polygraf.ai showcases several compelling examples and data points to demonstrate its efficacy:

• Insurance Fraud Detection NYC: This case study highlights a significant reduction in fraud review time from 3 days to under 3 hours, indicating a rapid and accurate detection capability that translates into tangible operational efficiency and financial savings.
• Federal Government AI Usage DC: The ability to evaluate bills in 7 minutes instead of 64 hours through AI usage enabled by Polygraf.ai points to its power in accelerating complex governmental processes while ensuring compliance and security. This suggests its secure LLM wrapping works effectively.
• Defense & National Security Israel: Analyzing internal communications to detect suspicious behavior and anomalies, leading to the identification of terrorists, is a profound example of the platform’s advanced analytical capabilities likely leveraging Sophia in critical, real-world security scenarios.
• Local Government Usage Utah: Enabling privacy-compliant ChatGPT use in restricted environments by anonymizing inputs and outputs demonstrates the practical application of their Secure LLM and data privacy features, allowing organizations to adopt AI responsibly.
• Defense & Intel Analysis Classified: The use for anomaly detection in voice and emails, identifying disinformation, tampering, or espionage risks, further underscores its utility in highly sensitive intelligence operations.

Performance Statistics and Accuracy Claims

Polygraf.ai provides specific metrics to back its claims:

• 90.2% accuracy across 27 PII types: This statistic suggests a high degree of precision in identifying and protecting sensitive personal information. The breadth of coverage 27 types implies a comprehensive approach to PII detection.
• 98%+ accuracy for complex fraud patterns: This highlights its ability to go beyond simple rules-based detection, leveraging AI to uncover sophisticated fraudulent activities that might elude traditional systems.
• 17–40% higher PII detection accuracy: Compared to legacy DLP or cloud AI tools, this significant performance difference positions Polygraf.ai as a superior alternative for data protection.
• 14% better deepfake detection: In an age of increasing digital manipulation, this edge in identifying synthetic media is crucial for maintaining trust and combating disinformation.
• 68% faster with no GPU overhead: This speed advantage ensures real-time processing and detection, which is vital for preventing breaches or responding to threats as they emerge.

Underlying Technology and Ethical Considerations

The platform’s reliance on “Secure, On-prem & Explainable SLM AI” is a key factor in its claimed effectiveness.

• Small Language Models SLMs: The use of SLMs, optimized for specific tasks and run on-premise, allows for greater control, lower latency, and higher security compared to larger, cloud-based LLMs for sensitive operations.
• Explainable AI: The emphasis on “explainable” AI means that the system provides a clear rationale for its decisions, which is essential for auditability, trust, and debugging in critical applications. This transparency helps users understand why a threat was flagged, rather than just that it was flagged.
• No Customer Data for Training: The explicit statement that “customer data is never stored or reused” and that Polygraf uses “pre-trained SLMs” is a significant ethical and privacy guarantee. This ensures that clients’ sensitive information is not leveraged for training purposes, mitigating concerns about data exploitation and compliance. This commitment to data privacy strongly supports its claim of being a trustworthy solution.

Verification Challenges for the Average User

While the claims and examples are compelling, verifying the exact “workability” for a new client would involve a thorough demo, pilot program, and technical integration. Alphasolutions.online Review

The average individual or small business user, without access to such enterprise-level evaluations, would have to rely heavily on the company’s stated metrics and public testimonials.

However, for its target market, the detailed use cases and compliance assurances provide a strong indication that Polygraf.ai is a highly functional and effective solution designed for demanding environments.

Is Polygraf.ai Legit

Assessing the legitimacy of a high-tech company like Polygraf.ai involves examining its public profile, corporate structure, technology claims, and adherence to industry standards.

Based on available public information, Polygraf.ai presents a strong case for its legitimacy.

Corporate Information and Transparency

• WHOIS Data: The WHOIS record for polygraf.ai indicates a creation date of 2023-05-16, with the domain registered through GoDaddy.com, LLC. The registrant organization is listed as “Domains By Proxy, LLC,” which is a common privacy service used by many legitimate businesses to protect the personal information of domain owners from public view. While some might view privacy services with suspicion, they are standard practice for many companies to prevent spam and protect against unsolicited contact. The registration details provide valid contact information for abuse inquiries via GoDaddy.
• Registrant Location: The registrant details list Tempe, Arizona, US, which aligns with common business practices in the United States.
• Domain Expiry: The domain is registered until 2027-05-16, indicating a long-term commitment to the domain and its operations.
• Name Servers: The use of AWS Amazon Web Services DNS servers awsdns-26.net, awsdns-21.co.uk, awsdns-46.org, awsdns-17.com is typical for a professional tech company utilizing robust cloud infrastructure.
• MX Records: The presence of Google Mail Exchange MX records suggests they use Google’s enterprise email services, another common and legitimate practice for businesses.

Awards, Partnerships, and Endorsements

A significant indicator of Polygraf.ai’s legitimacy is the extensive list of awards and industry recognitions they prominently display:

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• SXSW Pitch Winner 2025 & Best in Show 2025: SXSW is a highly respected global event, and winning such prestigious awards suggests significant innovation and industry recognition.
• dealroom.co Top Analytics Startup to Watch for Globally 2024: Dealroom.co is a credible platform for tracking startups and investment, and being listed as a top startup further validates their potential and standing.
• NVIDIA Inception Program Member 2024 & Intel Alliance Program Member 2024: Partnerships with major tech giants like NVIDIA and Intel are strong endorsements, indicating that their technology is compatible with, and potentially supported by, leading hardware and AI ecosystem providers.
• Product That Count Top AI & Data Governance Product 2024, Top AI Content Detection Tool 2024, Top AI & Data Category Product 2025: These awards highlight their excellence in specific product categories, indicating peer and industry validation of their solutions.
• C2PA Contributing Member 2024: C2PA Coalition for Content Provenance and Authenticity is an industry initiative focused on combating misinformation and ensuring content integrity. Being a contributing member signifies their commitment to these broader industry standards and efforts.
• Endorsements: Testimonials from a former U.S. Congressman Chris Stewart, managing partners, and founders of other tech companies Jason Edwards, Andrew Yeung, Karim Hijazi, Michael Pereira add a layer of personal and professional endorsement that is hard to fake.

Compliance and Security Claims

Polygraf.ai’s explicit claims about compliance with major regulatory frameworks are also strong legitimacy markers:

• HIPAA Compliant, SOC 2 Type 1 In Process, SOC 2 Type 2 In Process, IL2 – IL6, HITRUST Upcoming: These are serious certifications and compliance standards, particularly for companies handling sensitive data for government and healthcare. Engaging in these processes demonstrates a commitment to security best practices and regulatory adherence.
• GDPR, PCI-DSS, CCPA, and DoD IL2–IL6: Their ability to meet these diverse compliance needs reinforces their technical and operational robustness.
• No Customer Data Training: The clear statement that “Polygraf uses pre-trained SLMs, and customer data is never stored or reused” is a critical trust signal, particularly in an era of data privacy concerns.

Ethical Stance and Business Model

The company’s stated vision, “At Polygraf, we envision a future where AI augments human capabilities without compromising safety, privacy, or ethical standards,” suggests a responsible approach to AI.

Their business model, focused on enterprise and government clients with high security needs, aligns with providing value through advanced, secure AI solutions rather than mass-market tools.

Given the comprehensive evidence from domain information, prestigious awards, strategic partnerships, high-level endorsements, and strong compliance claims, Polygraf.ai appears to be a legitimate and serious player in the AI security and data governance space. Shopkaraku.com Review

Is Polygraf.ai a Scam

Based on all available public information and a thorough review of their website, Polygraf.ai shows no indications of being a scam. In fact, quite the opposite is true. they present themselves as a highly legitimate and credible technology company operating in a critical and emerging field.

Here’s why Polygraf.ai is highly unlikely to be a scam:

1. Transparent and Professional Online Presence

• High-Quality Website: The polygraf.ai website is professionally designed, well-structured, and provides detailed information about their technology, features, and use cases. Scam websites often have poor design, grammatical errors, and vague descriptions.
• Clear Contact Information: While direct pricing isn’t listed which is typical for enterprise software, clear contact options like “Schedule a Demo” and “Get in touch” are provided, along with social media links LinkedIn, Twitter, Facebook, Instagram that appear active and professional.
• Legal Documents: The presence of easily accessible “Terms & Conditions” and “Privacy Policy” links at the bottom of the homepage is standard for legitimate businesses, outlining their legal obligations and user agreements. Scam sites often lack these crucial legal disclaimers or present very generic ones.

2. Verified Industry Recognition and Partnerships

• Prestigious Awards: Polygraf.ai boasts multiple wins and recognitions from highly reputable events and organizations, including SXSW a major tech and culture festival, dealroom.co a prominent data provider on startups, and Product That Count. These awards are typically peer-reviewed or judged by industry experts, making them difficult for a scam operation to obtain.
• Strategic Alliances: Partnerships with tech giants like NVIDIA and Intel’s Inception Program are not easily acquired by fraudulent entities. Such alliances usually involve vetting and validation of a company’s technology and business model.
• C2PA Contributing Member: Membership in the Coalition for Content Provenance and Authenticity C2PA demonstrates a commitment to industry standards and a collaborative effort to solve real problems like misinformation, which is a hallmark of legitimate tech companies.

3. Credible Endorsements and Testimonials

• High-Profile Individuals: The testimonials featured on their homepage are from verifiable public figures, including a former U.S. Congressman Chris Stewart and founders/managing partners of established tech and consulting firms. It’s highly improbable that such individuals would lend their names to a fraudulent scheme. Scam sites usually use fake testimonials or generic stock photos.

4. Enterprise-Focused Business Model

• Target Audience: Polygraf.ai explicitly targets enterprise and government sectors for “mission-critical operations.” Scams typically aim for quick, large-scale profits from individual consumers, often through deceptive promises of easy money or unrealistic returns. Dealing with government contracts and large corporations requires extensive vetting and legal compliance that fraudsters avoid.
• On-Premise Deployment: Their emphasis on on-premise, secure, and compliant solutions HIPAA, SOC 2, DoD IL2-IL6 is a complex and capital-intensive business model, antithetical to the quick-cash, low-overhead approach of a scam.

5. Transparency Regarding Data Handling

• No Customer Data Training: The explicit statement that “customer data is never stored or reused” and “Polygraf uses pre-trained SLMs” directly addresses a major privacy concern with AI tools. This level of transparency and commitment to data protection is a sign of a responsible and legitimate company.

Conclusion on Legitimacy

Given the overwhelming evidence of legitimate business practices, verifiable industry accolades, credible endorsements, and a clear focus on a high-security, enterprise market, Polygraf.ai is undoubtedly a legitimate company.

They are not a scam, but rather a specialized technology provider aimed at solving complex AI security and data governance challenges for large organizations.

How to Cancel Polygraf.ai Subscription

Since Polygraf.ai primarily targets enterprise and government clients, their services are typically governed by custom contracts rather than standard online subscriptions with easily cancellable monthly or annual terms. Sportograf.com Review

Therefore, the process for canceling a Polygraf.ai “subscription” which is more accurately described as a service agreement or contract would follow enterprise-level procedures rather than a simple click-to-cancel button.

Understanding Enterprise Service Agreements

For companies like Polygraf.ai that provide specialized software and services to large organizations, cancellation policies are usually detailed within the signed Master Service Agreement MSA or Statement of Work SOW between Polygraf.ai and the client. These contracts typically outline:

• Contract Term: The agreed-upon duration of the service e.g., one year, three years.
• Notice Period for Termination: The required advance notice e.g., 30, 60, or 90 days that a client must provide before terminating the service at the end of the contract term or under specific conditions.
• Conditions for Early Termination: Specific circumstances under which either party can terminate the agreement before its scheduled end, which might include material breach of contract, insolvency, or other predefined events.
• Termination Fees: Any penalties or outstanding fees that might apply if a client terminates the contract early without cause, or fails to provide adequate notice.
• Data Return/Deletion Policy: Procedures for the return or secure deletion of client data upon termination of services.

Steps to Cancel a Polygraf.ai Service Agreement

If your organization has a service agreement with Polygraf.ai and wishes to terminate or not renew it, the general steps would involve:

1. Review Your Contract: The absolute first step is to carefully review the specific Master Service Agreement MSA or Statement of Work SOW that your organization signed with Polygraf.ai. This document will contain all the legally binding terms regarding cancellation, termination clauses, notice periods, and any associated costs.
2. Identify Key Personnel: Determine who within your organization is responsible for managing vendor contracts and relationships with Polygraf.ai e.g., IT procurement, legal department, or the specific department using the service.
3. Contact Your Polygraf.ai Account Manager: Reach out directly to your assigned Polygraf.ai account manager or sales representative. This is the primary point of contact for all business-related discussions. Inform them of your intent to cancel or not renew the service.
4. Submit Formal Written Notice: In accordance with your contract’s terms, you will likely need to submit a formal written notice of termination or non-renewal. This letter or email should clearly state your intention, the effective date of cancellation adhering to the notice period, and reference the specific contract. Send this through certified mail or an auditable email, if specified in the contract, to ensure proof of delivery.
5. Address Outstanding Obligations: Confirm any outstanding invoices, data transfer requirements, or other responsibilities that need to be fulfilled before the contract officially ends. Ensure a smooth offboarding process to avoid data loss or security gaps.
6. Follow Up: Maintain clear communication and follow up regularly to ensure all steps of the cancellation process are completed efficiently and according to the contractual terms.

Important Considerations:

• No Online Self-Service Cancellation: It is highly improbable that Polygraf.ai offers a self-service “cancel subscription” button on their website or within a user portal, given their enterprise business model. Cancellations will always involve direct communication and formal procedures.
• Contractual Obligations are Paramount: Any cancellation must strictly adhere to the terms laid out in the signed agreement to avoid legal disputes or unexpected fees.
• Consider Alternatives Before Cancelling: Ensure your organization has a viable alternative in place or a plan for managing the functions Polygraf.ai was providing before initiating cancellation to avoid operational disruption.

In essence, canceling a service with Polygraf.ai is a formal process dictated by the terms of your enterprise contract, not a casual online unsubscription.

How to Cancel Polygraf.ai Free Trial

Given Polygraf.ai’s enterprise-focused business model, a “free trial” in the traditional consumer sense e.g., signing up with a credit card for a month and then canceling is highly unlikely. Instead, for enterprise clients, what might be referred to as a “free trial” is typically a Proof of Concept POC or a pilot program. These are structured engagements where Polygraf.ai deploys a limited version of their solution within a client’s environment for a specific period to demonstrate its value and functionality, without an immediate financial commitment. Otg-exchange.com Review

Understanding the Enterprise “Trial” Landscape

• POC Proof of Concept: A short-term, focused engagement to verify if the technology can solve a specific problem in the client’s environment.
• Pilot Program: A longer-term, more comprehensive trial involving a broader deployment to a limited group of users or a specific department, to assess scalability, integration, and overall user acceptance.
• No Credit Card Required: Such enterprise trials rarely require upfront credit card information because the engagement is about technical validation and building a business case, not a direct sales conversion for a monthly recurring fee.
• Formal Agreement: Even a “free trial” at the enterprise level often involves a preliminary agreement or non-disclosure agreement NDA outlining the scope of the trial, data usage, responsibilities, and duration.

Steps to “Cancel” a Polygraf.ai POC or Pilot Program

If your organization is participating in a Polygraf.ai POC or pilot and decides not to proceed with a full implementation, the cancellation process is straightforward and typically involves direct communication rather than an online portal.

1. Communicate with Your Polygraf.ai Contact: The primary step is to directly inform your assigned Polygraf.ai account manager, sales representative, or technical lead that your organization will not be moving forward with the full deployment. This should be done well before the agreed-upon trial end date.
2. Provide Feedback Optional but Recommended: While not mandatory for cancellation, providing constructive feedback on why the solution isn’t a fit e.g., doesn’t meet specific technical requirements, budget constraints, internal priorities shifted can be helpful for both parties. This maintains a good relationship for future potential engagements.
3. Confirm Decommissioning/Data Removal: Discuss the process for decommissioning any Polygraf.ai software deployed in your environment and confirm procedures for the secure deletion or return of any test data that may have been processed during the trial. Polygraf.ai explicitly states they don’t store or reuse customer data, which is a positive sign for this step.
4. Formal Notification If Required by POC Agreement: While less common than for full contracts, some formal POC agreements might require a brief written notification of non-continuation. Check any preliminary agreements signed before initiating the trial.
5. No Financial Obligation Typically: Since enterprise trials usually don’t involve upfront payment, there should be no financial obligation to “cancel” or pay fees. The purpose is to demonstrate value before a full contract is signed.

What to Expect:

• No Automated Process: Do not expect an online “cancel free trial” button. The process will be personal and involve direct communication with Polygraf.ai personnel.
• Relationship Management: It’s a professional conversation between organizations. Maintain clear and courteous communication.
• Focus on Technical Outcomes: The primary goal of an enterprise trial is to determine technical fit and value. If it doesn’t align, the “cancellation” is simply the natural conclusion of the evaluation phase.

In summary, canceling a Polygraf.ai “free trial” is about clear communication with their team, confirming the end of the evaluation phase, and ensuring any deployed components or test data are properly managed, all without the financial implications typically associated with consumer subscriptions.

Polygraf.ai Pricing

As a solution designed for enterprise and government clients with mission-critical operations, Polygraf.ai does not publicly list its pricing on its website. This is a standard practice for B2B Business-to-Business and B2G Business-to-Government software and service providers that offer complex, customized solutions.

Why Enterprise Pricing Is Not Public

• Customization: Enterprise solutions are rarely “one-size-fits-all.” Pricing often depends on a multitude of factors, including:
  • Scale of Deployment: Number of users, endpoints, data volume to be processed.
  • Specific Features Required: Clients may only need certain modules e.g., only AI content detection, or only secure LLM wrapping or require integration with specific legacy systems.
  • Deployment Model: On-premise installations can involve different costs for setup, training, and ongoing support compared to cloud-hosted though Polygraf.ai emphasizes on-premise.
  • Level of Support: Different tiers of technical support, dedicated account management, or professional services e.g., custom integrations, specialized training can influence the total cost.
  • Contract Duration: Longer-term contracts often come with different pricing structures or discounts.
  • Industry and Compliance Needs: Specific compliance requirements e.g., DoD IL6 might necessitate additional certifications or specialized configurations, impacting cost.
• Negotiation: Enterprise deals often involve significant negotiation based on the client’s specific needs, budget cycles, and strategic value. Public pricing would undermine this negotiation flexibility.
• Value-Based Pricing: For solutions that deliver substantial ROI e.g., preventing millions in fraud, drastically reducing compliance review times, pricing is often based on the value delivered rather than a fixed per-user or per-feature rate.

How to Obtain Polygraf.ai Pricing Information

To get a pricing quote for Polygraf.ai’s services, your organization would need to engage directly with their sales team. The typical process involves:

1. Schedule a Demo: The Polygraf.ai website prominently features “Schedule A Demo” and “Get Started” calls to action. This is the primary gateway to initiate a conversation.
2. Needs Assessment: During the demo and subsequent discussions, Polygraf.ai’s sales and technical teams will work with your organization to understand your specific requirements, existing infrastructure, compliance needs, and the scale of the problem you are trying to solve.
3. Custom Proposal: Based on this detailed needs assessment, Polygraf.ai will then develop a custom proposal that outlines the recommended solution, scope of work, and associated costs. This proposal will be tailored to your organization’s unique situation.
4. Contract Negotiation: The proposed pricing and terms would then be subject to negotiation, leading to a formal Master Service Agreement MSA or Statement of Work SOW.

General Expectations for Enterprise AI Security Solutions

While exact figures are unavailable, solutions like Polygraf.ai that offer advanced AI security, on-premise deployment, and support for high-compliance environments typically represent a significant investment. Organizations should expect costs to be in the tens of thousands to hundreds of thousands of dollars annually, or potentially even more for very large-scale deployments or highly customized integrations. This investment reflects the complexity of the technology, the expertise required for deployment and support, and the high value proposition e.g., fraud prevention, national security, regulatory compliance it delivers. Theissk.com Review

In conclusion, prospective clients should budget for a substantial investment and be prepared to engage in a detailed discovery process with Polygraf.ai to receive a tailored pricing proposal.

Polygraf.ai vs. Other AI Detection Tools

Polygraf.ai operates in a specialized segment of the AI detection market, primarily serving enterprise and government clients with a strong emphasis on on-premise deployment, data privacy, and robust security compliance.

This sets it apart from many other AI detection tools, which often cater to a broader, more consumer-oriented, or general content creation market.

Understanding these distinctions is crucial when considering Polygraf.ai against its various competitors.

Polygraf.ai’s Unique Positioning

Polygraf.ai differentiates itself with several core tenets: Pragmaticbusiness.com Review

• On-Premise SLM Architecture: Unlike most AI detection tools that are cloud-based SaaS Software as a Service offerings, Polygraf.ai’s small language models SLMs run on the client’s own hardware. This is a critical advantage for organizations with strict data sovereignty, privacy, and zero-trust security requirements e.g., defense, government, highly regulated finance.
• Mission-Critical Trust: Its focus is on high-stakes environments where detection accuracy, data integrity, and compliance HIPAA, SOC 2, DoD IL2-IL6 are non-negotiable. This translates to features like explainable AI, secure LLM wrapping, and sophisticated behavioral analysis.
• Comprehensive Threat Detection: Polygraf.ai aims to detect not just AI-generated text, but also deepfakes, manipulated content, hidden sensitive information, and even subtle patterns of deception, indicating a more profound security and intelligence gathering capability.
• No Customer Data Training: The explicit guarantee that client data is never stored or used for training models provides a significant ethical and privacy advantage over many AI tools that might implicitly or explicitly use customer data to improve their algorithms.

Comparison with General AI Content Detectors e.g., Originality.AI, Crossplag

• Target Audience: General AI content detectors primarily cater to writers, content marketers, educators, and individual users concerned with plagiarism and basic AI detection. Polygraf.ai targets large organizations.
• Deployment: Most general detectors are cloud-based web applications, requiring users to paste text into a browser interface. Polygraf.ai is an on-premise solution integrated into enterprise systems.
• Feature Depth: While general detectors focus on text originality and AI authorship, Polygraf.ai offers a much broader suite including PII redaction, deepfake detection, secure LLM integration, and advanced linguistic analysis for deception.
• Pricing Model: General detectors often have transparent, credit-based, or subscription pricing for individuals/small teams. Polygraf.ai requires custom enterprise quotes.
• Compliance: Consumer-grade tools typically don’t offer the stringent compliance certifications HIPAA, DoD IL that Polygraf.ai boasts, as their target markets have different regulatory burdens.

Comparison with Plagiarism Checkers e.g., Turnitin, Copyscape, Grammarly Plagiarism Checker

• Core Function: Traditional plagiarism checkers focus on identifying copied content from existing sources. While Polygraf.ai has “Copyright Detector” and “Plagiarism Detector” mentioned in its product list, its primary differentiation is AI threat detection and data security, rather than merely content originality against a database.
• AI Detection Capability: Many advanced plagiarism checkers, like Turnitin, have evolved to include AI writing detection. However, Polygraf.ai extends beyond this to identify deepfakes and manipulated content across various formats, and provides secure LLM wrappers.
• Use Case: Plagiarism checkers are widely used in academia and publishing. Polygraf.ai is aimed at governmental, financial, and defense sectors for critical operations.

Comparison with Traditional Data Loss Prevention DLP Tools

• AI-Driven vs. Rule-Based: Legacy DLP solutions often rely on keyword matching, regular expressions, and predefined rules to identify and prevent sensitive data from leaving the organization. Polygraf.ai leverages advanced SLM AI to detect complex patterns, hidden sensitive information, and anomalies that traditional DLP might miss, claiming 17-40% higher PII detection accuracy.
• Scope: While DLP focuses on data egress, Polygraf.ai encompasses internal communication analysis, secure LLM usage, and broad AI threat detection, offering a more holistic security posture against modern AI-driven risks.
• Real-time & Speed: Polygraf.ai emphasizes real-time detection and significantly faster processing, which can be a critical improvement over some older DLP systems.

Conclusion on Competitive Landscape

Polygraf.ai is not directly competing with most readily available AI detection or plagiarism tools.

Its competition lies more with specialized cybersecurity firms, advanced analytics providers, and internal security teams within large, regulated organizations.

Its strength is in providing a highly secure, on-premise, AI-powered solution for preventing sophisticated threats and ensuring stringent compliance in mission-critical environments.

For a typical individual or small business, Polygraf.ai is over-engineered and beyond their scope, making simpler, more accessible tools more appropriate.

polygraf.ai FAQ

What is Polygraf AI and how does it protect enterprise data from AI-driven threats?

Polygraf AI is an on-premise Small Language Model SLM security platform designed to detect fraud, deepfakes, and data loss in real-time. Fifoflyinflyoutaustralia.com Review

It protects sensitive data by keeping it secure within the client’s environment, without sending it to the cloud.

How does Polygraf AI’s on-premise SLM architecture differ from cloud-based LLM security tools?

Polygraf’s SLMs run on customer-controlled hardware requiring ≥ 8 GB RAM, 1.3 GHz CPU, which significantly reduces data transmission, minimizes latency, and ensures maximum privacy and data sovereignty, unlike cloud-based tools that process data externally.

Which compliance frameworks does Polygraf AI support?

Polygraf AI meets GDPR, HIPAA, PCI-DSS, CCPA, and DoD IL2–IL6 compliance by automatically redacting PII/PHI with explainable audit logs, making it suitable for highly regulated industries.

How does Polygraf AI perform versus legacy DLP or cloud AI tools?

Polygraf AI offers 17–40% higher PII detection accuracy, 14% better deepfake detection, and runs 68% faster with no GPU overhead, outperforming many traditional and cloud-based solutions.

Is customer data used to train Polygraf AI models?

No.

Polygraf explicitly states that it uses pre-trained SLMs, and customer data is never stored or reused for training purposes.

Each prediction is fully explainable with a detailed rationale.

Which industries rely on Polygraf AI?

Polygraf AI is primarily used by governments, financial institutions, insurance companies, and the public sector to detect fraud, identify threats, and ensure compliance in highly sensitive environments.

What kind of AI threats can Polygraf AI detect?

Polygraf AI can detect a wide range of AI threats, including AI-generated content, synthetic media deepfakes, hidden sensitive information, subtle patterns of deception, bias, and manipulation in natural language.

What is the “Secure LLM” feature in Polygraf AI?

The Secure LLM feature allows organizations to wrap and control interactions with external AI tools like ChatGPT, enabling redaction, anonymization of inputs, and audit trails to maintain data privacy and compliance.

Can Polygraf AI detect plagiarism and verify authorship?

Yes, Polygraf AI offers “Groundtruth” functionality to verify authorship, originality, and trace every edit or tampering attempt, ensuring content integrity and preventing intellectual property misuse.

What is “Sophia” in Polygraf AI?

Sophia is a component of Polygraf AI designed to detect subtle patterns of deception, bias, or manipulation in natural language and uncover invisible networks or threats using behavioral and linguistic signals without personal data.

How quickly can Polygraf AI be deployed?

Polygraf AI is designed for rapid deployment, claiming it can be launched in days, not months, and allows for redaction in seconds and detection in real-time.

Does Polygraf AI require complex AI infrastructure for deployment?

No, Polygraf AI emphasizes that it does not require complex AI infrastructure, making its implementation simpler for enterprise clients.

Can Polygraf AI work across different content formats and channels?

Yes, it can redact, detect, and govern content across various formats and channels, including files, chats, scanned documents, calls, cloud storage, and LLM interactions, ensuring comprehensive coverage.

Is Polygraf AI suitable for individual users or small businesses?

No, Polygraf AI is specifically engineered for mission-critical operations within large enterprises and government entities, making it generally unsuitable and over-engineered for individual users or small businesses.

Where can I find Polygraf AI pricing?

Polygraf AI does not publicly list its pricing on its website.

Interested organizations need to schedule a demo and engage directly with their sales team to receive a custom proposal based on their specific needs and scale.

What awards and recognitions has Polygraf AI received?

Polygraf AI has received numerous accolades, including SXSW Pitch Winner 2025, SXSW Best in Show 2025, dealroom.co Top Analytics Startup to Watch for Globally 2024, and multiple “Product That Count” awards for AI and data governance.

What is the purpose of the “Humanizer” feature?

The Humanizer feature allows users to regenerate content with zero detectable AI fingerprints, whether semantic or structural, enabling organizations to control the “AI-ness” of their generated text.

Is Polygraf AI involved in industry standards initiatives?

Yes, Polygraf AI is a C2PA Coalition for Content Provenance and Authenticity Contributing Member for 2024, demonstrating its commitment to combating misinformation and ensuring content integrity.

Does Polygraf AI store my organization’s data?

No, Polygraf AI explicitly states that customer data is never stored or reused for training their models, and predictions are fully explainable, prioritizing data privacy and security.

How can I learn more or request a demo from Polygraf AI?

You can learn more and request a demo by visiting the polygraf.ai website and using the “Schedule A Demo” or “Get Started” contact forms provided.