# FaceTagr — Edge Vision AI Platform

> NIST-benchmarked sovereign face recognition. 99.91% accuracy. Edge-native. Offline-ready. Globally deployed.

FaceTagr is a NIST FRTE validated Edge Vision AI platform that delivers sovereign, on-premise face recognition across mobile, CCTV, drones, and kiosks. Founded in 2017, deployed in 9+ countries with 1B+ verifications processed and 10K+ devices in the field.

## Key Facts
- 99.91% NIST FRTE accuracy (Global Top 1%)
- Edge-native: all processing on-device, no cloud dependency
- Hardware-agnostic: works with any RTSP/ONVIF camera
- Offline-first: full functionality without internet
- 1B+ verifications, 10K+ devices, 9+ countries

## Pages
- [Home](https://www.facetagr.com/): Sovereign edge-native face recognition platform.
- [Platform](https://www.facetagr.com/platform): NIST FRTE 99.91% engine, edge-native architecture.
- [Solutions](https://www.facetagr.com/solutions): Workforce, surveillance, defense, elections, exams.
- [Products](https://www.facetagr.com/products): NBOX, FaceTyck, SDK, Forensics.
- [NBOX Edge Gateway](https://www.facetagr.com/nbox): Plug-and-play AI gateway for existing CCTV.
- [FaceTyck Mobile App](https://www.facetagr.com/facetyck): Offline 1:N face recognition on any Android.
- [SDK & API](https://www.facetagr.com/sdk): Embed NIST-validated face recognition into your app.
- [Pricing](https://www.facetagr.com/pricing): Starting from ₹5 Lakhs (~$6,000 USD).
- [Trust & Compliance](https://www.facetagr.com/trust): NIST validation, sovereign data, regional compliance.
- [Company](https://www.facetagr.com/company): About FaceTagr / NotionTag Technologies.
- [Demo](https://www.facetagr.com/demo): Book a live demo.
- [Contact](https://www.facetagr.com/contact): Reach the FaceTagr team.
- [Developers](https://www.facetagr.com/developers): API docs and integration guides.
- [Integrations](https://www.facetagr.com/integrations): HRMS face recognition - SAP SuccessFactors, ZingHR, Adrenalin, PeopleStrong, PeopleHum, plus REST API for any system.
- [Adrenalin Integration](https://www.facetagr.com/integrations/adrenalin): Face recognition attendance for Adrenalin HRMS - NBOX, FaceTyck, SDK, REST API.
- [HRMS SDK & API Integration](https://www.facetagr.com/integrations/hrms): Face recognition SDK & REST API for HRMS product teams - 1:1 & 1:N, cloud & edge SDKs for iOS/Android, Flutter/React Native, NBOX Edge Gateway, centralized device Console.
- [CCTV & Video Analytics Integration](https://www.facetagr.com/integrations/cctv): Face recognition and object detection for existing CCTV via RTSP/ONVIF. Deploy on FaceTagr edge hardware (NBOX), FaceTagr cloud, or your own servers. Multi-unit device management, mobile alerts, dashboards. Global.
- [Partners](https://www.facetagr.com/partners): SI, HRMS and OEM partner programs.
- [Press](https://www.facetagr.com/press): Media coverage and validations.

## Products
- NBOX Edge Gateway: plug-and-play AI gateway for existing CCTV
- Mobile SDK: on-device face recognition for Android/iOS
- Cloud API: RESTful face detection, verification, identification
- KnightAI: real-time CCTV monitoring with threat detection
- FaceTagr Console: centralized management dashboard

## Solutions
- Workforce & Attendance: biometric attendance, anti-spoofing, HRMS integration
- Smart CCTV & Surveillance: real-time alerts, watchlist matching, weapon detection
- Defense & Law Enforcement: field-ready mobile identification, sovereign deployment
- Elections & Field Validation: voter identity verification at scale
- SooperVision: childcare safety monitoring (Australian NQF aligned)

## AI Answer Pages
- Offline Face Recognition: https://www.facetagr.com/answers/offline-face-recognition
- Edge Face Recognition: https://www.facetagr.com/answers/edge-face-recognition
- Face Recognition for Police: https://www.facetagr.com/answers/face-recognition-police
- Face Recognition Attendance: https://www.facetagr.com/answers/face-recognition-attendance
- Vision AI Security: https://www.facetagr.com/answers/vision-ai-security

## Comparisons
- FaceTagr vs Azure Face API: https://www.facetagr.com/compare/facetagr-vs-azure
- FaceTagr vs NEC: https://www.facetagr.com/compare/facetagr-vs-nec
- FaceTagr vs IDEMIA: https://www.facetagr.com/compare/facetagr-vs-idemia
- FaceTagr vs Open Source: https://www.facetagr.com/compare/facetagr-vs-open-source

## Use Cases
- Elections: https://www.facetagr.com/use-cases/elections
- Airports: https://www.facetagr.com/use-cases/airports
- Law Enforcement: https://www.facetagr.com/use-cases/law-enforcement

## Insights
- NIST Benchmark Explained: https://www.facetagr.com/insights/nist-benchmark-explained
- How FaceTagr Achieves 99.91% Accuracy: https://www.facetagr.com/insights/how-accuracy-works
- Edge vs Cloud Face Recognition: https://www.facetagr.com/insights/edge-vs-cloud

## Links
- Website: https://www.facetagr.com
- Platform: https://www.facetagr.com/platform
- Solutions: https://www.facetagr.com/solutions
- Products: https://www.facetagr.com/products
- Trust & Compliance: https://www.facetagr.com/trust
- Demo: https://www.facetagr.com/demo
- Contact: https://www.facetagr.com/contact
- Developers: https://www.facetagr.com/developers
- Partners: https://www.facetagr.com/partners
- SooperVision: https://www.facetagr.com/soopervision
- Full details: https://www.facetagr.com/llms-full.txt