Get full visibility
See every user session with the risk and outcome insights behind each call.
Decisioning & results
The why behind every decision
Full visibility into every session: pass, fail, or review, with the risk signals that drove the call.
Score
98.5/100
Age21
Real PersonLiveness Check
Legit Docs.OCR and Gov Match
TrustworthyWatchlists and Trust Graph
Location not found
Score
34.0/100
Age
16
Underage
Real PersonLiveness Check
DocumentsNot captured
UnknownWatchlists and Trust Graph
Deepfake detected
VPN detected
Score
9.0/100
Age
38
Mismatch
SpoofPresentation attack
Fake Docs.Tampered · forged
High RiskWatchlist hit
In the dashboard
See the decision and the evidence behind it
Open any session and the platform lays out the outcome and every risk signal that drove it, module by module.
Sessions1,204 new verifications in the last 24 hours
The journey of a decision
Signals in, a clear decision out
- 1 Signals Every check reports in — document validation, liveness, device risk, face match — each with its own result.
- 2 Score The signals combine into one weighted risk score. The riskier the mix, the lower it lands.
- 3 Decision The score makes the call automatically — approve the clear cases, review the borderline, fail the rest.
Why it matters
Understand every case at a glance
See every outcome clearly
Pass, fail, or review: every result is easy to track and act on.
Fine-tune with real risk signals
Module-level scores for document validation, liveness, device risk, and more.
Turn rejections into precise fixes
See exactly why each case was rejected, then make targeted improvements.
Automate the call
Set the thresholds once, let them run
Set the score thresholds and a few if-then rules once. Every session is decided automatically — approve the clear cases, fail the obvious ones, and send only the borderline to your team.
- 1 ThresholdsScore bands split every session into fail, review, or approve.
- 2 RulesIf-then rules override the score — auto-fail a liveness miss, step up on device risk.
- 3 AutomaticIt runs on every session. Only the borderline ever reach your team.
How it works
Go deeper on any case
The engine underneath
0+
in-house built ML models
0B+
identity checks a year
0%
platform reliability
