Anomaly Detection
Multi-signal fraud and irregularity detection that surfaces duplicates, debarred identities, collusion networks, and high-risk cases before they reach adjudication.
We build AI systems that flag fraud, identity abuse, document irregularities, and behavioural anomalies at population scale — then put every case in front of an officer with a complete evidence trail.
Manual checks cannot keep pace with millions of cases.
Duplicate identities slip through registration. Signatures are too faint to verify. Candidates finish papers in impossible times. Geographic patterns that look like collusion stay buried in spreadsheets. By the time an investigation starts, the evidence trail is already cold. Most compliance efforts stop at another report bolted onto the same manual review queue.
Anomaly scoring, identity, documents, behaviour, geography, and adjudication — engineered as one connected risk pipeline, not six disconnected tools.
Multi-signal fraud and irregularity detection that surfaces duplicates, debarred identities, collusion networks, and high-risk cases before they reach adjudication.
AI face authentication and biometric validation at registration and centre entry, with fill-ratio and match-confidence scoring officers can act on.
Automated photograph and signature checks that flag small, unclear, or inconsistent documents against configurable thresholds.
Response-time, efficiency, and log-pattern analysis that isolates unusually fast or anomalous behaviour across centres and regions.
Spatial anomaly mapping — improbable travel, centre clustering, and regional risk rates — so investigators see the network, not just the row.
Decision traceability, digital dossiers, and online hearings so every flagged case carries a complete evidence trail from detection to disposition.
National examination enforcement with SSC Suchita, and field compliance scoring with Safe School Zone — the same risk-intelligence posture, different mandates.
Five integrated AI systems safeguarding 2.5M+ candidates per cycle with 99.4% face-match accuracy and full decision traceability.
A mobile-first, offline-first road safety platform: 40+ schools audited and scored with IRF and 3M.
Snapshots · Live platforms






Snapshots · Live platforms






The same detection and scoring capabilities, reassembled for examination integrity and field compliance. What we build once, we don't rebuild from scratch for the next mandate.
| Capability | SSC Suchita | Safe School Zone |
|---|---|---|
| Anomaly Detection | Included | Not included |
| Risk Scoring | Included | Included |
| Biometric / Face Auth | Included | Not included |
| Document Verification | Included | Not included |
| Geographic Intelligence | Included | Included |
| Behavioural Analytics | Included | Not included |
| Audit Trails | Included | Included |
| Field Compliance Audits | Not included | Included |
| Digital Hearings | Included | Not included |
| Executive Risk Dashboards | Included | Included |
We don't just flag outliers. We build the enforcement layer commissions actually run on.
Ten years shipping population-scale government platforms means the hard part — wiring face match, document checks, log forensics, and geographic risk into one auditable pipeline — is already solved. What your officers get isn't a demo; it's the same production standard behind 2.5M+ candidates per cycle, 99.4% face-match accuracy, and full decision traceability.
Tell us which signals you need to detect and which teams must act on them. We'll bring the same architecture that already runs at national examination scale.