About FaceTagr
We build sovereign Vision AI that runs at the edge - on cameras, phones, and embedded devices. NIST-benchmarked, globally deployed, and engineered for the world's most demanding identity environments.
Mission
We contribute meaningfully wherever Vision AI can bring clarity, trust, and safety. The underlying challenges organisations face are remarkably similar - identity integrity, child safety, frontline verification, workforce compliance, operational visibility.
The wrappers change, the problems do not. We build technology that solves real problems in responsible ways - across geographies, regulations, and deployment conditions.
Sovereign & Privacy-First
Data stays local. Edge processing. Your infrastructure, your jurisdiction, your rules.
Built for Resilience
Engineered for variability - lighting, demographics, connectivity, scale. Works in the hardest conditions.
Responsible AI
Ethical engineering with transparent, auditable decision-making at every layer.
Global Presence
Asia Pacific
India, Australia, Malaysia
Middle East
UAE, Saudi Arabia, Bahrain, Kuwait
Africa
Kenya, Nigeria
Expanding
North America, Europe, Southeast Asia
Deployments span airports, military installations, election infrastructure, enterprise campuses, childcare centres, and law enforcement agencies across 4 continents.
Journey
Heritage
FaceTagr was founded in India - a country with 1.4 billion people, extraordinary demographic diversity, and some of the world's most challenging deployment conditions: extreme heat, variable lighting, intermittent connectivity, and massive scale.
Our technology was forged in this complexity. From helping Chennai Police reunite missing children, to deploying face recognition across 4,000+ election booths in Bihar, to securing border installations with the Indian Army - every capability was battle-tested before it shipped globally.
This heritage is our advantage. Technology proven at India's scale and diversity works everywhere - from Australian childcare centres to Middle Eastern airports to African enterprise campuses.
The global Vision AI market runs on a flawed assumption: that intelligence requires proximity to cloud infrastructure. It does not - if your model is efficient enough. FaceTagr has built what others assumed was not possible: NIST top-1% face recognition accuracy, running in real time, on a dedicated edge unit processing live CCTV, and on a 1GB RAM Android phone for cooperative field scenarios, fully offline. The result is a platform that deploys into any environment. A mine in Jharkhand with no connectivity. A border checkpoint with an air-gapped network. A polling booth in Bihar. An apartment complex in Dubai. A retail chain in Sydney. The same engine. The same accuracy. Any device. Any infrastructure. That universality is the moat. Not any single product, not any single vertical - but the ability to run NIST-benchmarked Vision AI at the edge of the edge, on hardware anyone can afford. Every other Vision AI platform in this space is cloud-dependent or hardware-locked. FaceTagr is neither.
Revenue model
Hardware-software unit sales (NBOX) + recurring software licence + API/SDK volume licensing for platform integrators
Named integrations
SAP SuccessFactors, ZingHR, Adrenalin, PeopleStrong, PeopleHum - live integrations, not roadmap
Form factors
CCTV edge unit, Android mobile, drone, Meta AI Glasses, cloud API - same engine across all five
FaceTagr is a product of NotionTag Technologies Pvt. Ltd., Chennai, India. For investor and partnership enquiries: contact@facetagr.com
Featured On
FaceTagr on Channel News Asia - documenting face recognition deployment at scale.