Polygraf AI
Category: AI in Cybersecurity
Polygraf AI provides an enterprise-grade platform for AI content detection, data-privacy redaction, and secure Large Language Model (LLM) governance, built on zero-trust principles and deployable on-premise or locally. Polygraf AI was founded in 2021. The company is led by Yagub Rahimov. Based in Austin, United States. Team size: 10-50. Total funding raised: $9.5M. Latest round: Seed, $9.5M, October 2025, led by Allegis Capital. Key investors include Allegis Capital, Alumni Ventures, DataPower VC, Domino Ventures.
- Founded
- 2021
- Headquarters
- Austin, United States
- Team size
- 10-50
- Total funding
- $9.5M
Value proposition
On-premise, zero-trust AI solutions that detect deepfakes, prevent data leaks, and ensure compliance without cloud data transmission, tailored for regulated environments
Products and solutions
AI Content Detector, AI Governance Platform, Print and Scan Governance Solution, e-Commerce Fake Review Detector, Secure LLM Chat, File System Scan, Document Redactor, Audio/Meeting Deepfake Detection, Desktop Overlay (AI Behavior Control Plane), AiBC Plane, Vexon Voice Detector, AI Highlighter, Humanized Text Detector, Copyright Detector, Plagiarism Detector, Stealth AI Writer, Content Enhancer, Content Humanizer
Unique value
Proprietary Small Language Models (SLMs) for real-time threat detection and local deployment capabilities, avoiding reliance on cloud infrastructure
Target customer
Enterprises, defense organizations, and intelligence sectors requiring AI security and compliance solutions
Industries served
Cybersecurity, Enterprise Defense, Intelligence, Financial Services, Healthcare, Insurance, Telecom, Marketing, Human Resources, Software Development
Technology advantage
Zero-trust architecture, on-premise deployment, and specialized SLMs that balance performance with data privacy, differentiating it in enterprise AI security
How they differentiate
Polygraf AI differentiates itself through on-premise, zero-trust AI solutions focused on deepfake detection, data leak prevention, and compliance. It emphasizes explainability and auditability for high-stakes environments, unlike black-box AI solutions.
Main competitors
Prompt Security, CalypsoAI, Cranium
Key partnerships
Allegis Capital (lead investor), Alumni Ventures, DataPower VC, Domino Ventures, NVIDIA Inception Program, Seiko Epson Corporation
Notable customers
Epson (Seiko Epson Corporation), Bluebird Sales, US County Government, Regional Insurance Carrier
Major milestones
Selected for TechCrunch Startup Battlefield 2025, Won SXSW 2025 'Best in Show' award, Named Top AI & Data Product (2025) by Products That Count, Raised $9.5M seed funding in October 2025, Granted core USPTO AI patent (April 2026), Won Most Innovative AI Usage Control at RSAC 2026 (Cyber Defense Magazine), Launched Desktop Overlay AI Behavior Control Plane (March 2026)
Growth metrics
10-50 employees (2025), with plans for product expansion and R&D investment
Market positioning
Positioned as an enterprise-grade AI security provider for defense and intelligence sectors, targeting industries requiring strict compliance and data privacy (e.g., government, finance, and healthcare)
Geographic focus
Primarily focused on the United States, with headquarters in Austin, Texas. Expanding into enterprise and defense markets globally.
Patents and IP
USPTO patent granted for proprietary Content Source Detection AI model (announced April 2026 at RSAC)
About Yagub Rahimov
3x Founder and technology entrepreneur focused on AI security and transparency. Previously founded TestedWeb/7Marketz Group and exited the companies. Expertise in enterprise AI security, deepfake detection, and data privacy solutions.
Official website: https://polygraf.ai