Trust & Validation
Independent benchmarks, compliance certifications, and deployment proof for procurement officers, CISOs, and integrators.
NIST Benchmark Results
FaceTagr's face recognition engine is evaluated under the NIST Face Recognition Technology Evaluation (FRTE). Results are publicly available and independently verified.
Why NIST Matters
NIST FRTE is the global gold standard for face recognition evaluation. In US, AU, and ME markets, NIST benchmarking is the trust currency for procurement officers and CISOs. It shortens sales cycles, reduces technical objections, and demonstrates suitability for regulated environments including border control, financial services, and government identity programs.
Compliance & Security
ISO/IEC 27001 Certified
Independently certified information security management system.
Hosted on SOC 2 Type II-certified infrastructure
FaceTagr's hosting and server infrastructure runs on SOC 2 Type II-audited cloud platforms. This describes the infrastructure layer, not a FaceTagr-level audit.
Global Data Residency
Live in India, the UAE, and Australia. Infrastructure can be stood up in any required region, or fully on-premise.
Sovereign, India-built AI
Not subject to the U.S. Entity List or DOD Section 1260H restrictions that currently apply to major Chinese facial recognition vendors (SenseTime, Megvii, Hikvision, Dahua, iFlytek, CloudWalk, Yitu) - restrictions that are a hard disqualifier in U.S., EU, and allied-government procurement.
Privacy by Design
Raw biometric data processed at edge. Never transmitted to cloud. No centralised biometric database.
Audit Trail
Every decision and transaction logged with full digital audit trail.
How Edge Architecture Supports Local Privacy Laws
FaceTagr's on-premise, edge-first architecture is fundamentally designed to keep biometric data within the customer's physical infrastructure. This architectural approach inherently supports compliance with regional privacy regulations.
Australia
Australian Privacy Principles (APPs)
Edge-first architecture inherently supports APP compliance. Biometric data is processed and stored locally on-premise - never transmitted to external servers. This aligns with APP 8 (cross-border disclosure) and APP 11 (security of personal information).
Biometric Data Handling
FaceTagr's edge processing means biometric templates remain within the customer's physical infrastructure. No biometric data leaves the deployment site, supporting compliance with state and territory privacy frameworks.
NQF Alignment (Childcare)
SooperVision is designed to support compliance with the National Quality Framework for early learning services - supervision monitoring, ratio tracking, and audit documentation.
United States
BIPA Considerations (Illinois)
FaceTagr's on-premise deployment model means biometric identifiers are processed and stored locally within the customer's infrastructure - not collected or transmitted by FaceTagr. Customers maintain full control over consent, retention, and destruction policies.
CCPA / State Privacy Laws
Edge processing architecture supports CCPA compliance by ensuring personal information (including biometric data) remains within the customer's data environment. No biometric data is sold, shared, or transferred to third parties.
Federal & State Procurement
NIST FRTE benchmarking provides independently verified accuracy metrics required for US government and law enforcement procurement evaluations.
Deployment Proof
Validated in production across defense, elections, enterprise, and public infrastructure.
Need more details?
Request our technical validation package for your due diligence process.