Facia

Paid

Facia is a biometric security platform for businesses that need to verify people are real. It sits in the finance and security field.

You use it when someone tries to log in, open an account, or prove their identity. It checks if the face on the camera is a live person, not a photo, mask, or deepfake.

The platform offers three products: liveness detection, deepfake detection, and facial recognition with 1:1 and 1:N matching. It runs via APIs, mobile SDKs, web SDKs, or on your own servers.

Open it if you need to stop fake faces at login or signup. Skip it if you do not handle identity verification or cannot govern biometric data properly.

It works best for teams with security budgets and legal staff to manage biometric risk.

• Enterprises with substantial security budgets: The one-time cost runs high. You need the funds to cover the buy-in and ongoing checks.
• Teams needing on-premise face verification: You keep data in your own systems. This matters for strict data rules.
• Businesses adding liveness to KYC or account opening: You screen selfies during signup. Fraud drops when fake faces get caught fast.
• Fraud teams screening synthetic selfies: You spot deepfakes as one part of a larger fraud stack. The tool flags what humans might miss.
• Organizations needing AML compliance: You match faces against watch lists. The tool helps meet regulatory checks.
• Teams wanting passwordless authentication: You let users log in with their face. The liveness check stops stolen photos from working.
• Regulated enterprises with proper governance: You have legal and security staff who know how to handle biometric data and retention rules.

These parts stick with you after you start using it.

• Transparent per-check pricing: You see costs upfront ($0.10–$0.70 per check). Most biometric vendors hide this behind sales calls.
• Documented iBeta Level 2 certification: You get evidence beyond marketing claims. The test shows the liveness detection meets industry standards.
• Lightweight mobile SDKs: You add face checks to apps without bloating the download. The iOS and Android SDKs run about 5MB.
• Multiple ways to deploy: You pick what fits your stack. Use APIs, mobile SDKs, web SDKs, or run it on your own servers.
• Broad feature coverage: You handle liveness, deepfake detection, age checks, and document verification in one place. Less need to string together separate tools.

Skip it when the risks or costs outweigh the need.

• Skip it if you lack biometric governance: You cannot manage facial data properly. One breach creates hard-to-fix exposure.
• Skip it if you need verified performance for your exact use: You cannot combine metrics from different tests into guarantees for your deployment.
• Skip it if you run 1:N search without careful setup: You face elevated privacy risks and false-match problems. This needs strict oversight.
• Skip it if you need clear data retention rules: The public policy does not fix a retention period. You must negotiate this yourself.