One Platform, From Onboarding to Every Transaction
One profile per customer. Built from signals your stack can't see, fused with data you already have. Real-time, unified, and powering every decision — fraud, credit risk, compliance, onboarding — all under 200ms.
Fraud
Stay one step ahead of fraudsters
Shruhani scores device, behavioural and identity signals that can't be faked or rehearsed, and flags the fraud before the money moves.
Know moreOnboarding
See the person, not just the paperwork
Approve genuine customers with confidence and stop the ones hiding behind clean documents. Paperwork proves identity. Shruhani proves intent — so you grow approvals without growing fraud.
Know moreCredit risk
Approve more, without taking on more risk
A thin credit file isn't the same as a risky borrower — it just means the bureau doesn't have enough to go on. Shruhani fills that gap with its own signals, so you can say yes to good borrowers a bureau score alone would leave undecided.
Know moreCompliance
Clear every case faster with a trail you can defend
Most compliance work is manual — pulling records, building the case file, preparing the filing. Shruhani's AI agent does that part automatically. Your team spends its time deciding, not assembling, and every step is logged and easy to defend later.
Know moreScreenX decides who comes in. Cortex watches who's already inside. Escalation handles what happens when an account is flagged, by your policy, or by law enforcement.
ScreenXOnboarding & verification
Six intelligence modules. 3,000+ attributes per applicant. One real-time decision: safe, review, or decline. Fraud risk, credit risk, and underwriting fit calculated together, not in three separate queues.
Know more →CortexPost-onboarding monitoring
Continuous device, behavioural and network signals on every active customer, scored by a dynamic risk engine with 60+ rules. Low risk passes without friction. Medium risk steps up. High risk is blocked — before the first transfer ever clears.
Know more →EscalationInvestigation & financial-crime operations
Case files build themselves — full signal trail, linked accounts, external records, all pulled automatically. Law enforcement requests get handled the same way: freeze, lien, debit-freeze, information request, all logged in a full audit trail. Your nodal officer stops working a manual queue.
Know more →Six intelligence modules. 3,000+ attributes per applicant. One real-time decision: safe, review, or decline. Fraud risk, credit risk, and underwriting fit calculated together, not in three separate queues.
Know more →Continuous device, behavioural and network signals on every active customer, scored by a dynamic risk engine with 60+ rules. Low risk passes without friction. Medium risk steps up. High risk is blocked — before the first transfer ever clears.
Know more →Case files build themselves — full signal trail, linked accounts, external records, all pulled automatically. Law enforcement requests get handled the same way: freeze, lien, debit-freeze, information request, all logged in a full audit trail. Your nodal officer stops working a manual queue.
Know more →The foundation beneath all three products. The same six run across ScreenX, Cortex and Escalation — so the signal trail stays consistent from onboarding all the way to investigation.
A device cannot lie consistently. 1000+ signals catch emulators, root access, app cloning, SIM-swap, tampering, VPN and proxy use before the first action.
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It's not what you type, it's how you type it. Rhythm, touch pressure, mouse movement and sensor data — matched to the user's own profile, every session. Bots fail instantly. Account takeovers break within seconds.
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A real digital history is hard to fake, and a missing one is a signal in itself. 100+ platforms checked for tenure, depth and breach exposure. Synthetic identities have no real past to stand on. Shruhani sees exactly where it's thin.
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Tampered documents, reused identities and spoofed images caught at upload, not at audit. A five-layer pipeline with Face Vault cross-screening every identity already in the system.
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Most platforms check if an address exists. Shruhani checks more: does it match the applicant's stated income, does it sit inside a known fraud cluster, and is the borrower actually reachable there. 100m grid resolution, built for India.
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Bank-grade inbox categorisation with consent. Salary, EMI, spend and bounces structured for underwriting. The bureau-thin majority, finally readable.
Learn more →A device cannot lie consistently. 1000+ signals catch emulators, root access, app cloning, SIM-swap, tampering, VPN and proxy use before the first action.
Learn more →Real outcomes from live deployments across banking, lending and credit cards.
73%
Money mules flagged at onboarding
3× better than legacy systems (banking client).
78%
Fraudsters in the riskiest 5%
Concentrated among the riskiest applicants (personal loan provider).
65%
NPAs in the riskiest 10%
Within the riskiest decile of users (credit cards client).
<200ms
p95 decisioning latency
Inclusive of network round-trip.
3,000+
Attributes per applicant
Resolved into a handful of explainable scores.
20+
Institutions in production
Banks, SFBs, NBFCs and fintechs.
A bank does not have a fintech's fraud problem. A lender does not have a marketplace's economics. Shruhani ships pre-tuned to each.
Banks & SFBsMule onboarding, account takeover, and RBI-mandated Early Warning Systems. One stack, audit-ready end to end.73% of money mules caught at onboarding for a leading Indian bank.
NBFCs & LendingFirst-payment default, synthetic identity, and bureau-thin underwriting. Approve more good borrowers, and catch the bad ones before disbursement, not after.16.85% pre-disbursement risk detection on an already-approved portfolio.
Fintechs & NeobanksPromo abuse, multi-accounting, mule formation. Caught at signup, not after the loss event.83% reduction in money mule account approvals at a leading Indian neobank.
E-Commerce & MarketplacesRefund fraud, fake reviews, policy abuse. Trust without the manual review burden.350% decrease in promo abuse at a leading gaming client.We'll score it, surface the fraud patterns your current stack missed, and walk you through what we found. Your data, our scoring. No commitment, no integration, no decision required until you've seen the result.
