Accuracy
One decision from every signal
Document, biometric, device, behavioral, network, and historical signals combine into one risk assessment that reflects the whole picture rather than one signal at a time.
3 years in a row named a Leader
A Leader in the 2026 Gartner® Magic Quadrant™ for Identity Verification
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Introducing GovFaceMatch
The first identity solution to match biometrics against DMV records
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How we protect data
Privacy is the architecture
Explore the Privacy Hub
Welcome customers and block fraudsters with one orchestrated onboarding flow that runs document, biometric, and data checks tailored to your risk appetite.
The problem
Convincing synthetic identities are extremely cheap to mass-produce.
Extra checks and onboarding friction frustrate your legitimate customers, sending them to your competition and harming your bottom line.
of financial institutions lost clients in the past year due to slow onboarding
Fenergo, 2025
to generate a convincing deepfake with free AI tools
MIT Technology Review, 2023
growth in fintech deepfake incidents in a single year
Deloitte, 2024
of fintech professionals call deepfake and synthetic identity fraud a top concern
Incode data
How it works
Why Incode
Proprietary, full-stack technology and one unified risk decision, built for any industry.
Accuracy
Document, biometric, device, behavioral, network, and historical signals combine into one risk assessment that reflects the whole picture rather than one signal at a time.
Security
Deepsight defends every capture against deepfakes, injected media, virtual cameras, and device manipulation. Network intelligence flags repeat fraudsters and synthetic identities across sessions.
Privacy
Incode builds its core document, biometric, and liveness technology in-house, and the 1:1 ID-to-selfie match retains no biometric template. Improvements ship fast without waiting on a third-party vendor.
Scalability
Identity, fraud, orchestration, step-up, case review, and analytics run together across any industry and geography. Extend the same flow to AML, age assurance, or reusable identity when needed.
Use cases
Onboarding is the anchor. The same verification carries through every moment identity matters after.
Confirm a new user is real, unique, and the legitimate owner of the identity before an account opens.
Returning customers verify with their face in seconds, with no passwords or one-time codes.
Step-up verification confirms it's still the right person before money moves or an account changes.
Re-verify identity before restoring access, the same moment fraudsters most often target.
Network intelligence watches for account takeover and repeat fraud across sessions.
Methods
Every step of the flow draws on one integrated identity stack.
Global banks, fintechs, and marketplaces onboard with Incode
99.9%
of onboarding fraud caught at a large financial institution
92.5%
approval rate for genuine users
8 of 10
top U.S. banks choose Incode to onboard their customers
7.1B+
trust checks run on the Incode platform
What customers say
“With Incode, we reduced our false rejections from 12% to 5% while bringing fraud down from 0.5% to 0.1%. That balance between protecting our clients and maintaining a seamless digital experience has been game-changing.”
Carlos de la Ossa · Digital Channels Director, Davivienda
Customer onboarding verification is the process of confirming a new customer is a real, unique person before granting access to an account or service. With Incode, document validation, biometric matching, liveness detection, and data checks combine into a single automated decision.
A full check averages four seconds, and 98% of users validate on the first try. Decisions return instantly, with manual review reserved for the rare cases that genuinely need it.
Passports, driver's licenses, national IDs, and residence permits across 200+ countries, with AI-powered OCR extracting and validating data from each document type.
Deepsight analyzes every capture for deepfakes, video injection, and device tampering, while iBeta-certified passive liveness confirms a real human is present. Purdue University independently validated it as the most accurate commercial detector.
Onboarding is the anchor, but the same verification carries through login and authentication, account recovery, step-up for high-risk actions, and re-verification, so you confirm a real, unique, legitimate person every time identity matters.
No. Hosted flows run the whole onboarding on Incode infrastructure and launch in days. Native SDKs for iOS, Android, and Web embed the same flow inside your app when you want full control.
What's next
See how the platform behind 7.1B+ trust checks handles your onboarding.
Answers come from across incode.com. For the full explainer, ask anything.