Device intelligence and fraud risk platform for Indian digital lending and fintech
Bureau.id fills a critical gap in India's identity verification stack: the layer between "this document is authentic" and "this applicant is a fraud risk." Identity verification tools like HyperVerge and IDfy confirm that an Aadhaar or PAN is valid. Bureau.id answers the harder question — is the person using this valid identity who they claim to be, and have they or their device been seen in fraudulent behaviour patterns across the industry? Bureau.id's platform aggregates device signals, behavioural patterns, telecom data, and a shared fraud consortium network across hundreds of Indian fintech clients to generate risk scores and fraud flags at the point of onboarding and transaction. For Indian digital lending and BNPL teams, Bureau.id sits in the fraud prevention layer of the stack — complementary to KYC vendors, not a replacement for them.
Bureau.id is a risk intelligence platform founded in 2020 and headquartered in Bengaluru and San Francisco. It specialises in device fingerprinting, behavioural risk signals, and consortium fraud intelligence for digital financial services. Unlike traditional KYC vendors that verify the validity of identity documents, Bureau.id assesses the risk profile of the person and device presenting those documents — answering the fraud question that document verification alone cannot answer.
Bureau.id's core product is a risk score generated from a combination of: device intelligence (device fingerprint, rooted device detection, VPN/proxy detection, SIM swap signals), telecom signals (phone number age, SIM ownership, number portability history), behavioural signals (how the user interacts with the app — timing, typing patterns, navigation behaviour), and consortium data (whether this device, phone, or identity has been seen in fraud events across Bureau's network of fintech clients).
The consortium network is Bureau.id's most defensible asset. With hundreds of Indian fintech clients contributing anonymised fraud event data, Bureau.id can tell a new lending app that a device attempting to open an account was used in a rejected loan application at another lender two weeks ago, or that a phone number was associated with a fraud event at a BNPL provider. This cross-industry intelligence is impossible to replicate with in-house fraud models alone and is the reason Indian lending teams add Bureau.id as a layer on top of their existing KYC stack.
Mobile SDK (Android and iOS) that generates a persistent device fingerprint and collects risk signals without requiring user input. Detects rooted and jailbroken devices (high fraud risk in Indian lending — used for app manipulation), emulators, VPN and proxy usage that obscures true location, and app tampering. The SDK integrates into your mobile app and triggers a risk score before or during the onboarding flow — typically at account creation and loan application steps.
Phone number risk assessment using telecom data: number age (very new numbers are higher fraud risk), SIM swap history (account takeover signal), virtual number detection (VOIP numbers used for OTP bypass), and multiple SIMs on one device. In Indian lending, OTP-based authentication makes phone numbers the primary identity anchor — Bureau.id's telecom intelligence assesses whether that phone number is a legitimate, stable identity signal or a recently acquired fraud tool.
Cross-industry fraud intelligence from hundreds of Indian fintech clients. When a device, phone number, or identity attempts onboarding at your platform, Bureau.id checks it against its network: Was this device used in a default at another lender? Did this phone number appear in a synthetic identity fraud event? Has this Aadhaar number been used across multiple unrelated device-phone combinations? This consortium intelligence is the most uniquely valuable Bureau.id capability — it catches organised fraud rings that individual lenders cannot detect alone.
Passive behavioural biometrics collected during app interaction — how fast the user types, how they navigate screens, session timing patterns, copy-paste detection (pasting pre-filled data is a fraud indicator — real users type their own details). These signals are invisible to the user but distinguish genuine applicants from organised fraud operations where agents process applications on behalf of fabricated identities. Builds a behavioural profile that improves over repeated sessions.
| Layer | Bureau.id | HyperVerge / IDfy |
|---|---|---|
| Document authenticity | Not primary focus | Core capability |
| Face match / liveness | Basic | Core capability |
| Device fraud signals | Core capability | Limited |
| Cross-platform consortium | Core capability | Limited (IDfy has some) |
| Telecom / phone intelligence | Core capability | Not available |
| Behavioural biometrics | Core capability | Not available |
| Use together? | Yes — complementary layers, not substitutes | |
Bureau.id is not a replacement for KYC vendors — it is an additional fraud intelligence layer. Most Indian lending teams use HyperVerge or IDfy for document and face verification, then pass high-risk applicants flagged by Bureau.id to a manual review queue or decline them automatically.
Sandbox environment with simulated risk scores and signal responses. Test your integration against Bureau.id's API and SDK without consuming production credits. Consortium signals in sandbox use anonymised synthetic data — real fraud patterns from production are not accessible in sandbox, which is by design for security reasons.
Consumption-based INR pricing per risk score query. Volume tiers reduce per-query cost at scale. The SDK itself is free to integrate — you pay per API call when a risk score is requested. For Indian lending teams processing 1,000-10,000 loan applications per month, Bureau.id's cost typically runs Rs 15-50 per application depending on signals requested and volume. Pricing requires a quote — not publicly listed.
Annual committed volume contracts with SLAs, custom signal tuning for your fraud patterns, dedicated fraud analyst support, and integration with your existing fraud workflow tools. For large Indian lenders running 50,000+ monthly applications where fraud model tuning and analyst tooling are as important as raw signal access.
IDfy includes fraud signals as part of its broader identity platform. Less specialised than Bureau.id on device intelligence but covers document fraud, face fraud, and network velocity checks within one KYC + fraud integration.
AI-powered document and face verification with some fraud detection signals. Stronger on identity accuracy than Bureau.id; Bureau.id stronger on device and behavioural signals. Most Indian lenders use both together.
Bureau data and financial verification rather than device/behavioural fraud signals. Complementary to Bureau.id — financial risk vs device risk are different fraud signal layers that work better together than alone.
We help Indian fintech teams design fraud prevention stacks — from KYC vendor selection to Bureau.id integration and risk threshold calibration.
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