Facia
Facia provides deepfake and liveness detection for identity verification and authentication.
About Facia
Facia is a web-based service offering deepfake and liveness detection for identity verification and authentication. Its DeepLiveness product adds a deepfake detection layer on top of standard liveness checks, with the goal of confirming that a detected face is real rather than synthetic. The company states the product is aimed at businesses and governments, and that its latest algorithm update reported a false acceptance rate (FAR) of 0.06% and a false rejection rate (FRR) of 0.3%.
Key features
- DeepLiveness layer adds deepfake detection beyond standard liveness checks
- Multi-modal analysis using RGB texture, motion, depth mapping and neural anomaly signals
- Detects AI-generated and synthetic faces
- Flags synthetic identities in real time
- Markets facial recognition and liveness detection to businesses and governments
- Demo request and direct access options on the site
Best for: Businesses and government organizations that need liveness and deepfake detection as part of identity verification or authentication.
Good for
- Combines several detection signals rather than relying on a single check
- Reports real-time flagging of synthetic identities
- Publishes reported FAR and FRR figures for its latest algorithm update
Watch out for
- Pricing information is not published on the homepage
- Error-rate figures and product claims are vendor-reported
- No deployment, integration or platform details are given in the homepage excerpt
Facia at a glance
- Website
- facia.ai
- Category
- Privacy & Security › Security Tools
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Facia FAQ
How does DeepLiveness differ from standard liveness detection?
According to Facia, standard liveness confirms presence, while DeepLiveness adds a deepfake detection layer intended to confirm that the face is real.
What signals does DeepLiveness use?
The site lists RGB texture, motion analysis, depth mapping and neural anomaly detection as the multi-modal signals it combines.
What error rates does Facia report?
The company states its latest algorithm update reduced FAR to 0.06% and FRR to 0.3%.
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