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What Just Went Live at GFF 2025?

At the Global Fintech Festival (GFF) 2025, Decentro caused a stir with the live debut of Omniscore — a behavioural intelligence engine designed to rethink how trust and risk are measured in India’s fast-evolving digital finance world.

Forget static pitch decks. At Decentro’s booth, crowds witnessed a live demo that streamed real-time data — analysing digital identity signals, user behaviour, device fingerprints, and transaction habits — all processed within milliseconds. The demonstration unveiled how Omniscore classifies interactions instantly to power what CEO Rohit Taneja calls the “Trust Economy.”

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Why “Trust Economy” Matters More Today

From Credit Scores to Behavioural Trust

Traditional risk models are built on credit history and static data. But in a world where users switch devices, engage across apps, and transact in real time, that approach can lag behind. Omniscore brings in behavioural cues, device intelligence, and dynamic identity signals — enabling a more precise, real-time trust measure.

Trust as a Currency

In this new paradigm, trust becomes a real-time asset. Financial platforms can make smarter decisions on the fly — approving a payment, flagging fraud, or modifying access — based on how trustworthy a digital footprint appears at that moment.

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What Omniscore Does — In Simple Terms

Here’s how the live demo broke it down:

• Data Ingestion (milliseconds): It captures multiple signals — device type, IP, geolocation, app usage, click patterns — as a user interacts.
• Signal Processing & Scoring: The system processes those signals together and computes a trust score.
• Classification: Based on score thresholds, interactions get labeled — e.g., “trusted,” “needs verification,” or “suspicious.”
• Feedback Loop: The platform continues learning, refining its models as more data flows in.

So when a person logs in, attempts a transaction, or even just browses, Omniscore is quietly evaluating trustworthiness in real time.

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Why the Live Demo Was More Than Just a Showcase

• Real-time data: Rather than showing static mockups, Decentro invited the audience to see data move and evolve in the moment.
• Transparency in action: Viewers could see how raw signals—clicks, device toggles, identity checks—translated into the trust decision.
• Instant classification: Within milliseconds, Omniscore assigned risk levels to live digital interactions, making the invisible visible.

It wasn’t just a demo — it was a statement: trust can now be validated instantly, not retrospectively.

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What This Means for India’s Digital Finance Landscape

Stronger Fraud Prevention

Fraudsters often behave differently than genuine users — in speed, device switching, or anomaly patterns. A system that picks up these nuances in real time can block threats before damage is done.

Better User Experience

Because Omniscore aims to distinguish “trustworthy” from “risky,” legitimate users may face fewer friction points (like manual verification), while high-risk interactions face stricter checks.

Smarter Risk Decisions for Institutions

Banks, NBFCs, fintechs, and lenders can use the trust score as a dynamic input to underwriting, onboarding, or transaction flows — helping them tailor decisions with higher precision.

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The Bigger Picture: Why Decentro Is Betting Big

• Decentro recently raised ₹30 crore in its Series B round — backing growth in payments, KYC, collections infrastructure, and now this new trust infrastructure. (CIOL)
• The startup is shifting its parent operations back to India, signifying stronger domestic focus. (CIOL)
• Omniscore is meant to be the next pillar: beyond APIs and payments — a foundation for digital trust across the ecosystem.

At GFF, Decentro went beyond being just an exhibitor — it demonstrated a vision of building a trust layer for India’s digital economy.

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Challenges & Questions to Watch

• Privacy & consent: With so many behavioural signals, how will Omniscore safeguard user privacy and obtain proper consent?
• Bias & fairness: Model decisions based on behaviour could inadvertently penalize uncommon but legitimate usage patterns.
• Adoption by incumbents: Convincing banks, NBFCs, and large financial institutions to trust a new scoring engine won’t be easy.
• Data quality & integration: The engine depends on high-quality, consistent data from varied sources — gaps may reduce accuracy.

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What Happens Next?

• Pilot deployments: Expect to see Omniscore being piloted by fintechs, lenders, or platforms that want a trust signal in real time.
• Regulation & standards: As trust scoring becomes more central, regulation around transparency, audits, and explainability will likely follow.
• Expansion of data signals: Over time, the system may incorporate more data — e.g. social signals, device networks, cross-platform footprint.
• Ecosystem adoption: If it succeeds, Omniscore could become a core layer for many financial apps, services, and platforms in India.

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Omniscore’s live debut at GFF 2025 wasn’t just a product unveil — it was a moment. A glimpse into a future where trust isn’t just assumed or retrospectively judged, but computed in real time.

If you like, I can polish this into a version tailored for LinkedIn, tech blogs, or media outlets — wherever it needs to make the biggest impact.