Top AI Companies for Banking in India (2026)
The teams putting AI to work in banks, NBFCs, and fintechs.
Eight AI companies for banking in India compared for 2026, across KYC and fraud, lending and credit decisioning, collections, and custom builds, ranked on real banking depth, compliance posture, and honest fit.
Leading AI companies for banking in India in 2026 include Signzy, IDfy, and HyperVerge for KYC and fraud, Perfios and Lentra for lending and credit decisioning, Credgenics for collections, and Crediwatch for credit-risk intelligence, alongside custom build partners such as Levitation that develop bank-specific AI into a bank’s own stack. Buy a specialist platform for a standard function; hire a build partner for bespoke, deeply integrated systems you own.
AI in Indian banking has moved from pilots to production, but it lives in specialists. KYC and fraud, lending and underwriting, collections, and credit-risk intelligence each have their own leading platforms, most of them API-first layers that sit beneath a bank’s existing systems. The alternative, for work too specific or too core to license, is a custom build integrated into the bank’s own stack. This shortlist covers both, with the compliance and regulatory context that actually matters in BFSI, and honest notes on where each fits.
How this shortlist was built
- Genuine banking / financial-services AI depth — KYC, fraud, lending, collections, or risk, not generic AI with a banking page
- Verifiable, currently-operating companies with a real India presence
- Clear function and category so you can match the vendor to the problem
- Compliance and regulatory awareness appropriate to Indian BFSI (RBI, KYC/AML)
- Honest fit notes; company-stated volumes and client counts are attributed, not restated as fact
The shortlist
| # | Company | HQ | Founded | Focus | Standout |
|---|---|---|---|---|---|
| 1 | Levitation Infotech | Noida, India | — | Custom banking-AI build partner | Custom, integration-first builds |
| 2 | Signzy | Bengaluru, India | 2015 | RegTech / KYC & fraud platform | Video KYC |
| 3 | Perfios | Bengaluru, India | 2008 | Credit decisioning & financial data | Real-time credit decisioning |
| 4 | Lentra | Pune, India | 2018 | Digital lending platform | Lending lifecycle automation |
| 5 | IDfy | Mumbai, India | 2011 | Identity, risk & fraud platform | Identity verification |
| 6 | HyperVerge | Bengaluru, India | around 2014 | Identity verification & fraud AI | RBI-compliant KYC |
| 7 | Credgenics | Noida, India | 2018 | Debt collections & resolution AI | AI collections |
| 8 | Crediwatch | Bengaluru, India | 2016 | Credit-risk intelligence | Credit-risk scoring |
Levitation Infotech
FeaturedA senior-led AI and software firm that builds bank-specific AI into a bank’s, NBFC’s, or fintech’s own systems, rather than selling a single product. Levitation builds the AI layer (fraud and risk models, document and statement processing, lending workflows, compliance and RAG on regulatory docs) and integrates it with core banking, LOS/LMS, and data platforms, with compliance and data-residency shaped in from day one. The honest trade-off versus the specialist platforms below is that you are commissioning a bespoke build rather than licensing a proven module, which suits work too specific or too core to outsource to a product. The trade-off versus tier-one firms is a smaller brand, offset by direct senior delivery and full ownership of the code and IP.
Signzy
An AI-driven RegTech and KYC infrastructure company providing digital onboarding, video KYC, document verification, deepfake and fraud detection, and AML/compliance automation as an API-first layer beneath banks’, NBFCs’, and fintechs’ onboarding stacks. Founded by Ankit Ratan, Arpit Ratan, and Ankur Pandey; Mastercard has publicly partnered with Signzy on Video KYC and is listed among its investors.
Perfios
An AI-driven financial-data platform for real-time credit decisioning, bank- and financial-statement analysis, onboarding automation, and risk and fraud assessment for lenders. Founded by V.R. Govindarajan and Debasish Chakraborty; showcased an agentic AI banking platform at the Global Fintech Fest 2026 (per Business Standard/ANI). Market-share and client-count claims are the company’s own.
Lentra
A cloud-based digital-lending SaaS platform that uses AI/ML to automate the lending lifecycle for banks and financial institutions — KYC, onboarding, underwriting, servicing, collections, and risk management. Reportedly raised an $87M Series B in June 2023 with participation from Susquehanna, Bessemer, MUFG Bank, and Citi.
IDfy
An identity-verification, risk-intelligence, and fraud-detection "trust stack" serving banks and financial services — video KYC, KYB, background verification, and digital onboarding via AI/ML APIs. Founded by Ashok Hariharan and Vineet Jawa; reportedly raised around ₹476 crore in 2026 in a round led by Neo Asset Management.
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HyperVerge
An AI-powered identity-verification and fraud-detection company for BFSI and beyond — RBI-compliant KYC, video KYC, AML checks, face authentication and liveness, and deepfake detection. Grew out of an IIT Madras research group; publicly named enterprise clients include Angel One, CRED, INDmoney, and L&T Finance.
Credgenics
An AI/ML-powered debt-collections and loan-resolution SaaS platform for banks, NBFCs, HFCs, MFIs, and fintechs — digital communications, predictive dialing, litigation management, and mobile collections. Founded by Rishabh Goel, Anand Agrawal, and co-founders. Collections-improvement percentages are company-stated claims.
Crediwatch
An AI/ML-powered credit-risk intelligence and data-insights platform for lenders — Trust Scores, Early Warning Signals, and enhanced credit reports built from public and alternative data for due diligence and credit monitoring. Founded by Meghna Suryakumar and Sandeep Anandampillai; data-point counts are company-stated.
How to choose an AI partner for banking
Buy a specialist for a standard function
For a well-defined function — video KYC, statement analysis, collections — a proven specialist platform will deploy faster and carry the compliance posture already built in.
Build custom for core or bespoke systems
For work that is core to your bank, spans several of your own systems, or must stay owned and auditable by you, a custom build integrated into your stack will outperform a product you keep bending.
Lead with compliance
In BFSI the regulatory posture is the product. Confirm RBI alignment, KYC/AML handling, data residency, and auditability before functionality — a fast model that fails an audit is worthless.
Check integration with core banking
The value is gated by how cleanly the AI reaches your core banking, LOS/LMS, and data platforms. Ask exactly how it integrates before anything else.
Treat vendor numbers as claims
Loan volumes, accuracy rates, and client counts are marketing until independently verified. Ask for a reference deployment at a comparable institution.
Frequently asked questions
They apply AI to specific banking functions: KYC and onboarding, fraud and identity verification, credit decisioning and underwriting, collections, and credit-risk intelligence. Most are API-first platforms that sit beneath a bank’s existing systems; others are build partners who develop bespoke AI into a bank’s own stack.
Building AI into your bank or fintech?
Tell us the function you want to put AI behind — onboarding, fraud, lending, collections, compliance. We’ll come back with the right approach, the compliance considerations, and an honest, scoped estimate.