A new paradigm for credit-worthiness — real-time behavioural intelligence enters the fintech stage
At the 2025 edition of Global Fintech Fest 2025 (GFF 2025), financial-tech firm Decentro unveiled Omniscore — a real-time behavioural intelligence and risk-scoring platform that aims to revolutionize how lenders and fintechs evaluate credit risk and fraud, especially for users outside traditional credit systems. The debut was one of the most talked-about moments at the event, underscoring a shift from legacy credit-assessment methods toward what Decentro calls the “Trust Economy.”
Table of Contents
From “Can he pay?” to “Will he pay?” — Changing the credit risk equation
Traditional lending assessments in India and elsewhere largely rely on historical data: salary slips, property records, past credit history. This works for salaried borrowers with formal financial footprints — but shuts out a huge segment of the population: gig workers, freelancers, small entrepreneurs, and first-time borrowers.
Omniscore flips the question. Rather than asking “Can this person pay (based on history)?”, it asks “Will this person pay?” — by evaluating real-time digital behaviour, device data, transactional patterns, and digital identity signals.
Using this behavioural-data driven approach, Omniscore generates a unified risk score (on a scale of 100–1000) in under 300 milliseconds. Based on that score, users are classified into low-, medium-, or high-risk bands. This provides lenders and fintech platforms with a dynamic, real-time indicator of creditworthiness — even for those who lack traditional credit histories.
This shift allows inclusion of economically active but credit-invisible segments: gig workers, digital entrepreneurs, freelancers — unlocking access to loans, credit products, and other financial services.
How Omniscore works — tech, data, and speed
Omniscore’s core strength lies in its multi-layered architecture that draws from:
- Digital identity intelligence — verifying identity and fraud signals beyond standard KYC
- Device and behavioural intelligence — analysing device fingerprints, usage patterns, digital interaction signals
- Transactional behaviour and financial activity — evaluating recent digital transactions and payment behaviour
- Real-time scoring engine — delivering a consolidated risk score within milliseconds
By combining these inputs, Omniscore offers a holistic, up-to-date view of risk, as opposed to static, outdated credit-bureau reports.
In early pilot runs (before public rollout), Omniscore reportedly achieved a ~70% success rate in flagging fraudulent activity — including uncovering mule-accounts that had bypassed conventional onboarding and KYC checks. This capability comes at a crucial time: in FY25, India reportedly saw digital fraud amounting to tens of thousands of crores, pressing fintechs and banks to upgrade risk systems urgently.
Tackling credit access gap — who benefits from Omniscore
India’s credit access gap remains significant. Despite rapid digital adoption and growing smartphone penetration, many individuals remain outside the formal credit system because they lack histories or documentation.
By relying on digital-behaviour signals instead of legacy credit-bureau data, Omniscore can open up formal financial access to a broader population:
- Gig economy workers (drivers, freelancers, delivery agents)
- Digital entrepreneurs and small business owners
- First-time borrowers without prior credit history
- Salaried employees lacking robust credit bureau footprints
For fintech lenders and neobanks, this means far greater reach and inclusion — enabling them to responsibly extend credit to previously underserved segments without significantly increasing risk.
Omniscore as infrastructure — the birth of a “Trust Economy”
According to Decentro’s leadership, Omniscore isn’t just a product — it’s intended as a foundational layer for a new “digital trust infrastructure.” The company claims that with behavioural-intelligence-based scoring, India could bring as many as 200 million credit-invisible individuals into formal financial services.
By making trust quantifiable and real-time, Omniscore could redefine underwriting standards across lending, lending-adjacent services (BNPL, buy-now-pay-later), micro-loans, and other fintech offerings — giving platforms the confidence to onboard users previously considered “too risky” under traditional models.
This could mark a paradigm shift not just for individual lenders — but for how entire fintech ecosystems operate, potentially serving as a template for emerging markets worldwide.
Why this matters — for financial inclusion, fraud prevention and fintech scaling
- Financial inclusion: Omniscore’s behavioural-based scoring can help unlock formal financial services for underserved populations like gig workers, freelancers, and small-business owners — segments often excluded under traditional credit models.
- Fraud mitigation: Real-time analysis of device, identity and transaction signals helps detect fraud, mule accounts and anomalous behaviour — crucial in a backdrop of rising digital fraud losses.
- Risk-aware growth for lenders & fintechs: With dynamic risk scoring, lenders can loosen rigid credit prerequisites and still manage risk — enabling expansion without compromising underwriting standards.
- Infrastructure shift: By positioning itself as a “trust infrastructure,” Omniscore can shape industry-wide standards — bridging technology, data, and compliance for future-ready lending frameworks.
Key Takeaways
- Omniscore brings behavioural-intelligence and real-time risk scoring to Indian fintech, moving credit evaluation from static history to dynamic behaviour.
- It generates unified risk scores in under 300 ms, enabling fast and scalable decisioning across lending platforms.
- The model can significantly expand financial inclusion — unlocking credit access for gig workers, digital entrepreneurs, freelancers and first-time borrowers.
- Early pilots show strong potential in fraud detection, including identifying mule accounts and unusual behaviour not caught by traditional KYC/credit checks.
- Decentro envisions Omniscore as an infrastructure layer — a backbone for a new “Trust Economy” in digital finance that could serve millions currently out of mainstream credit.
read more:
- Ekincare: Building the Corporate Wellness Platform
- From “Meri Wali Chai” to Experience-First Brand
- Seekho: From Brink of Collapse to ₹600 Crore Ambition
- BYTES: Bringing Smart Safety to Two-Wheelers
- How LenDenClub Cracked the P2P Lending Code
FAQs
Q: How is Omniscore different from traditional credit-bureau scores?
A: Traditional scores rely on historical financial data (credit history, salary, loan/repayment history). Omniscore uses real-time behavioural data, digital identity signals, device & transaction patterns — enabling risk assessment even for users without prior financial footprints.
Q: Can Omniscore help gig workers or freelancers get credit?
Yes — by evaluating digital behaviour and recent activity rather than formal employment or salary, the platform opens opportunities for credit access to gig workers, freelancers, small-business owners, and others excluded by conventional credit systems.
Q: Does Omniscore help in fraud detection too?
Yes — early pilots reportedly flagged around 70% of fraudulent or suspicious activity (including mule accounts) that bypassed standard KYC or onboarding processes.
Q: What does “Trust Economy” mean?
According to Decentro, “Trust Economy” refers to an ecosystem where trust is generated and validated in real time via digital behaviour, identity intelligence, and dynamic risk scoring — making access to finance, credit and services more inclusive, efficient, and secure.
Q: Will this change how fintechs and lenders operate in India?
Potentially yes. If widely adopted, Omniscore could become a new standard for underwriting and onboarding, enabling lenders and fintechs to extend services to underserved populations while managing risk — reshaping the financial-inclusion landscape.
