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Facia AI

Facia (Facia.ai) is a biometric identity company specialising in liveness detection, deepfake detection, and facial recognition for businesses and governments. Its core technology — including the DeepLiveness multi-modal engine, which combines RGB texture analysis, motion analysis, depth mapping, and neural anomaly detection — confirms both that a user is physically present and that the face presented is real rather than AI-generated, in under one second. Facia is iBeta Level 2 certified against

Authority
51 reach 10 · trust 5 · quality 21 · freshness 15
Tier
listed
llms.txt
https://facia.ai/llms.txt
Sections
10
Links
395
Size
82859 bytes
Popularity rank
#269977
Categories
AI and machine learning
For agents
Documentation: developer or product docs worth reading, nothing to call
First seen
2026-10-19T10:41:07.923Z
Last checked
2026-10-20T02:41:24.013Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T08:16:09.953Z. Cached copy · Source on facia.ai

# Facia AI

Facia (Facia.ai) is a biometric identity company specialising in liveness detection, deepfake detection, and facial recognition for businesses and governments. Its core technology — including the DeepLiveness multi-modal engine, which combines RGB texture analysis, motion analysis, depth mapping, and neural anomaly detection — confirms both that a user is physically present and that the face presented is real rather than AI-generated, in under one second. Facia is iBeta Level 2 certified against ISO 30107-3 presentation attack detection protocols, is evaluated in the NIST FRVT programme, and reports a FAR of 0.06% and an FRR of 0.3%. The company serves banking and financial services, government, retail, iGaming, dating platforms, event management, and KYC onboarding providers, delivering protection against 56+ spoofing attack types through lightweight mobile SDKs (~5MB), RESTful APIs, and on-premises deployment with no specialised hardware requirements. Facia.ai Ltd is headquartered in London, United Kingdom.

## Solutions

- [Liveness Detection](https://facia.ai/liveness-detection/): Active and passive 3D liveness detection powered by DeepLiveness, delivering sub-second responses, iBeta Level 2 certification, and protection against 56+ spoofing attack types, including in low light and with hats or glasses.
- [Deepfake Detection](https://facia.ai/features/deepfake-detection/): AI-powered detection of deepfake videos and AI-generated images across platforms, providing real-time media intelligence to combat misinformation and identity fraud.
- [Face Recognition](https://facia.ai/face-recognition/): Scalable facial recognition supporting 1:1 matching, 1:N searching, and image-to-video and video-to-video face matching, built to NIST standards and trained to account for demographic and racial bias.
- [AI-Image Detection](https://facia.ai/ai-image-detection/): Detects manipulated or fully AI-generated images using advanced AI analysis.
- [Single Image Liveness](https://facia.ai/features/single-image-liveness-detection/): Determines from a single still image whether it was captured from a live person or fabricated.
- [Photo ID Matching](https://facia.ai/features/photo-id-matching-1/): Matches a selfie against the photo on an identity document to verify face similarity.
- [(1:N) Face Search](https://facia.ai/1-to-n-face-search/): Searches a probe image against a large image database to return matching identities.
- [Age Verification](https://facia.ai/age-verification/): Estimates a user's age quickly and securely through facial feature analysis, without documents.
- [Iris Recognition](https://facia.ai/iris-recognition/): End-to-end hardware and software solutions for iris recognition applications.
- [Customer Onboarding](https://facia.ai/customer-onboarding/): Comprehensive biometric onboarding that adds a deepfake-aware liveness layer to existing KYC flows.
- [Shared Device Authentication](https://facia.ai/shared-device-authentication/): Ver
…

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