IDSight
By IDSightIDSight is an AI-powered identity verification and privacy intelligence platform that detects deepfakes, verifies users through face and fingerprint recognition, and enforces real-time visual privacy with on-device facial blurring. Built for compliance-heavy industries including Healthtech, Banking and Fintech; IDsight ensures fraud prevention for KYC/AML workflows, protects user identities through anonymity, and stays GDPR/HIPAA-compliant with on-premise/on-cloud deployment options.
- Stage
- In production
- Industries
- Healthcare
- Banking and finance
- Telecom
- Deployment
- Cloud (SaaS)
Why it is worth it
IDSight is the only AI-powered platform that combines real-time facial verification, privacy enforcement, and biometric flexibility as a turn-key solution with both edge and on-premise deployment options. Unlike traditional KYC tools as mentioned above, IDSight goes beyond verification with 4D liveness detection, deepfake and virtual camera spoof defense, and on-device facial blurring to ensure visual privacy and compliance. It also supports fingerprint detection from raw images, eliminating the need for dedicated biometric hardware. With lightweight SDKs, vector-based facial search, and sovereignty-ready deployment options, IDSight has positioned itself as a Market Leader in providing a feature-rich product mainly targeted for the Fintech, Healthtech, and iGaming industries.
- Identity Fraud Prevention from Deepfakes & Virtual Cameras:
- Prevents synthetic identity attacks by detecting deepfakes, virtual cam feeds, and spoof attempts during onboarding and live sessions.
- Manual Biometric Fingerprint Verification:
- Enables contactless fingerprint detection and matching from images, reducing dependency on physical biometric hardware—especially in digital banking and remote onboarding workflows.
- High-Cost, Manual ID Verification:
- Automates document and selfie-based identity checks using AI, cutting operational costs, improving speed, and minimizing human error.
- Visual Privacy & Compliance Risks:
- Eliminates regulatory exposure by auto-blurring unauthorized faces in video and image content to meet GDPR, HIPAA, and CPRA standards.
- Lack of Edge & On-Premise AI Options:
- Provides lightweight, deployable AI models that run on edge devices or air-gapped environments—supporting Sovereign AI mandates and data-residency compliance.
Opening the deck…
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Best customer profile
- Fintech & Digital Banking:
- Use IDSight for secure KYC onboarding with passive liveness, selfie-to-ID matching, and virtual camera/deepfake detection. Fingerprint extraction enables biometric fallback for account recovery and high-risk transaction flows.
- Healthcare & Telemedicine:
- Verify patient identity in real-time sessions while maintaining HIPAA compliance using face matching, session-based liveness, and facial blurring to anonymize bystanders in clinical video calls.
- eLearning & Remote Proctoring:
- Ensure the same student remains throughout the session via identity locking, prevent impersonation with liveness detection, and automatically blur bystanders or secondary faces during exams.
- Government & Citizen Services:
- Enable 1:N face matching and fingerprint extraction from scanned IDs for secure access to public benefits, document issuance, and digital identity verification in high-trust environments.
- Dating & Social Platforms:
- Detect fake profiles and bots with selfie verification, deepfake detection, and virtual camera spoof prevention during onboarding and in-app video interactions to enhance trust and safety.
- Media, Streaming & Entertainment:
- Use real-time facial blurring to protect the privacy of background individuals in live streams, reality shows, or UGC. Enable anonymous interviews by masking interviewee identities without post-editing.
- Compliance-Driven Enterprises (GDPR, HIPAA, CPRA):
- Automate facial anonymization and privacy enforcement across media workflows, using on-device AI for secure inference and full auditability of identity verification processes.
Notable paying customers
- Legitimuz (http://legitimuz.com) Time by DRH (downloadtime.ai)
Product Development: - Launched a production-ready AI stack for facial verification, fingerprint detection, deepfake/VCam defense, and real-time facial blurring - Achieved <500ms inference latency on key models (facial blur, liveness, face detection) with NVIDIA-accelerated pipelines Enterprise Traction: - Signed PoC agreements with Legitimuz (compliance-tech) for facial verification in decentralized KYC - Deployed real-time liveness detection and facial database matching within Time by DRH (AI powered healthtech SaaS functioning as a medical scribe for telehealth) to ensure HIPAA-compliance and insurance fraud prevention. - In advanced discussions with fintech and public sector clients for biometric onboarding and privacy enforcement Technical Breakthroughs: - Developed 4D Liveness detection engine combining Vision Transformers and temporal modeling - Integrated adversarial pattern recognition to detect deepfakes and virtual camera spoofing in real time -Enabled fingerprint extraction from raw images using SIFT, removing the need for specialized biometric hardware Funding & Recognition - Bootstrapped with early revenue from enterprise pilots - Invited to Antler for showcasing and gained access to 10k+ in AWS and GPU credits