Plug & Play Integration
Bring your own stack. We'll play nice with your existing systems and get you live in days, not months. Promise.
Deploy deterministic identity controls. Execute verifiable hiring decisions. Maintain forensic-grade audit continuity.
Onboarding journeys are fragmented across multiple agencies, outdated databases, and manual workflows—costing you time and trust.
Fragmented identity signals from disconnected sources lead to overlooked risks.
Traditional checks take 5-15 days, resulting in frustrated candidates and lost talent.
Static databases and human errors can't keep up with modern AI-generated deepfakes.
Kovanent cuts risk by fusing liveness, government IDs, and employment history into a single trust score. Switch on alerts and stop bad actors before offer letters are signed.
Trust Engine
Kovanent Signals
Time to signal
Sub-second
Automation
Rule + AI blend
Flip the switch and start blocking risky sign-ups within 24 hours.
Protect your reputation with issuers and networks by keeping risk low.
Government IDs, liveness, and device checks across major rails.
Tune alerts so only real threats ping your team. No noise.
Cut up to 90% of fraudulent onboarding and insider threats by unifying document checks, liveness, and employment signals into one trust engine.
Alerts guarantee
Pay only for prevented fraud
Aadhaar
Fraud attempts blocked
34
PAN
High-risk matches
21
UAN
Identity collisions
17
Passport
Document forgery flags
26
Candidates receive a secure link and complete every step in a guided mobile flow. No apps. No paperwork. No confusion.
Candidate journey
Current step
Additional documents
Upload certifications or supporting artifacts requested by HR.
Encrypted session. Full audit log. No app required.
Mobile-first experience
Built for candidates using real phones.
Secure identity checks
Government and employment data verified directly.
Guided step-by-step flow
Clear instructions with active progress states.
No app required
Complete everything from a secure link.
Generate a secure verification link in one click.
Completes face scan and ID checks on any device.
Get an instant report with AI-driven risk analysis.
We analyze thousands of data points across government databases, employment records, and document forensics to generate one simple, actionable score.
ID: REF-2024-8821
Bring your own stack. We'll play nice with your existing systems and get you live in days, not months. Promise.
500+ risk signals across identity, intent, income, and influence. Because surface-level checks are so 2010.
Document tampering? Caught. Impersonation? Blocked. Synthetic identities? Not on our watch. Proprietary AI models that evolve.
Uncover hidden risks before they become expensive problems. Real-time dashboards that actually help you make decisions.
No-code drag-and-drop workflows. White-label the experience. Make it yours without writing a single line of code.
ISO 27001 / SOC 2 Type 2 / 99.9% uptime
Sub-200ms response times / Scale with confidence.
Bring your own stack. We'll play nice with your existing systems and get you live in days, not months. Promise.
500+ risk signals across identity, intent, income, and influence. Because surface-level checks are so 2010.
Document tampering? Caught. Impersonation? Blocked. Synthetic identities? Not on our watch. Proprietary AI models that evolve.
Uncover hidden risks before they become expensive problems. Real-time dashboards that actually help you make decisions.
No-code drag-and-drop workflows. White-label the experience. Make it yours without writing a single line of code.
ISO 27001 / SOC 2 Type 2 / 99.9% uptime
Sub-200ms response times / Scale with confidence.
We handle sensitive PII with bank-grade security protocols. All data is processed within India (Data Localization compliant) and encrypted end-to-end.
Scale your team with confidence.
High-volume candidate screening.
Trusted workforce verification.
On-demand talent validation.
Scalable trust intelligence.
Kovanent combines gradient boosting, graph signals, and explainable AI to score candidate risk with speed and clarity.
Inference Output
Candidate Trust Score: 0.92
Risk Probability
8% Low Risk
Signal Fusion Layer
Identity, liveness, device, employment, and document signals are normalized into a unified feature graph before scoring.
50+ signals per candidateLightGBM Risk Scoring
A calibrated LightGBM ensemble computes trust probability and fraud risk in milliseconds for every verification request.
Sub-200ms scoring latencyContinuous Learning Loop
Confirmed outcomes and analyst feedback retrain model weights, improving recall without inflating false positives.
Adaptive model updatesEvery model score ships with explainable decision factors for HR, compliance, and audits.
Detect synthetic identity behavior, unusual document patterns, and cross-company risk drift.
Links identities, devices, and organizations to surface hidden fraud clusters across accounts.
Model drift alerts trigger threshold tuning and retraining before accuracy degrades in production.
Production-safe by design
Versioned models, threshold controls, and rollback-ready deployments keep trust decisions stable at enterprise scale.
Kovanent replaces manual identity checks with a single, explainable trust score built from verified signals.
Single trust score
All verification signals combined into one clear decision.
Fewer manual checks
Only high-risk or inconsistent cases require review.
Consistent decisions
Every candidate evaluated using the same rules and signals.
Audit-ready records
Every step logged for compliance and internal reviews.
Final status is based on verified signals, not manual guesswork.
Built on hardened, enterprise-grade infrastructure utilizing industry-standard cryptographic primitives.
SHA-256 token hashing and constant-time digest comparisons block timing attacks and replay vulnerabilities.
Strict multi-tenant architecture ensures complete mathematical separation between company datasets.
Identities collapse to un-reversible ND-hashed indexes, safeguarding reusable profiles without PII exposure.
Dual row mutual exclusion (mutex) database locking prevents double-submission data corruption.
Every identity lifecycle state transition is persistently recorded in the global audit event ledger.
Strictly enforced authorization boundaries govern access between system accounts, HR interfaces, and candidates.
A structured, deterministic workflow. Every verification strictly advances through six hardened evaluation gates before trust is established.
Candidate profile initialized with placeholder metadata.
Device, IP, and behavioral velocity checks passed.
3D Liveness and document face matching completed.
Aadhaar/PAN digitally signed and extracted via Digilocker.
Multi-vector ML models analyze for cross-tenant fraud.
Canonical identity written. Trust score locked.
Live Trust Score
Every decision is decomposed into signals, weighted domains, and reproducible audit logic.
KOV-8821-ACME
risk_core_v4.0.2
2026-03-02T18:42:11Z
Final Weighted Trust Score
91
Trust Score Output
91
Signal convergence across biometric, document, and behavioral vectors indicates strong identity continuity. No structural anomalies detected within multi-source government validation. Minor device variance observed but within acceptable operational thresholds.
Decision Outcome
Eligible for progression.
Model Version
exai-1.2
Prompt Revision
1.0.0
Audit Hash
9fa29e4c8b1a3d2e9f8a...
Every risk contribution is logged with signal-level granularity and threshold comparison.
Probabilities are derived from measurable vectors, not opaque scoring heuristics.
Narrative synthesis translates structured output into board-level clarity without altering raw signals.
All model inputs, weights, and outputs are version-controlled and cryptographically referenced.
This EXAI layer provides traceable variables, deterministic weighting, executive context synthesis, and immutable model references without modifying raw risk signals.
Designed from the foundation up to completely isolate company data. A candidate verified in Tenant A maintains pure mathematical separation from their profile in Tenant B. Scaling teams should not require sacrificing cryptographic certainty, data isolation, or audit compliance.
Identities are established using government-issued root certificates. Once verified, placeholder data is atomically overwritten by the canonical truth.
Models do not operate in a black box. Every risk probability, discrepancy, or document anomaly is deterministically traceable.
SOC2 and ISO27001 readiness. Every single structural transition in the identity lifecycle is logged to an immutable company ledger.
Deploy deterministic identity controls. Execute verifiable hiring decisions. Maintain forensic-grade audit continuity.