Zarelva Intelligence Platform

One platform. Four layers.
Zero black boxes.

Most fraud tools give you a score and ask you to trust it. Zarelva gives you a stack where every decision is deterministic, every signal is named, and every investigation is defensible to an auditor. Collect at the device. Decide in real time. Investigate visually. Respond to published standards — with a managed fraud unit on top when you need one.

From first signal to defensible decision.

Each layer works standalone. Together, they close the loop most platforms leave open — the gap between "the model flagged it" and "here is the evidence."

01Collect
Device Risk SDK ANDROID

Silent device intelligence at KYC and disbursal — malware, emulator, root and tamper detection in under 200ms. Zero PII collected. DPDP compliant by design.

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02Decide
Signal Engine ZSIG

Deterministic fraud decisioning — 34 signals across 7 categories, configurable rule packs, and a plain-language narrative with every decision. No black-box scores: every trigger named, every threshold visible.

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03Investigate
Investigator Canvas ZIC

High-risk cases become visual investigations — relationship graphs that surface fraud rings, SHA-256 evidence integrity, and an audit trail that stands up to regulators and courts. Its built-in intelligence layer adds knowledge retrieval and investigation memory: signal correlation, evidence retrieval, regulatory grounding and explainable decision generation.

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04Respond
Response Standards ZAIS™ · ZEOL™

Published operating standards no other vendor ships: ZAIS™ for account-takeover investigation and decisioning, ZEOL™ for emergency fund-outflow locks when an account is compromised mid-attack.

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Managed on top: FPaaS SERVICES

Don't have a fraud team to run the stack? Zarelva runs it for you — weekly pattern reviews, case investigation, rule tuning and board-ready reporting, delivered as your external fraud unit from $1,800/month.

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Watch it all run live on the Fraud Dashboard →

The Zarelva loop.

Signals feed decisions. Decisions feed investigations. Investigations feed better rules. Every cycle makes the next attack easier to catch.

STEP 1
Device signals fire at onboarding

The SDK flags an emulator with a tampered environment at KYC — before a single rupee moves.

STEP 2
ZSIG evaluates and explains

The engine combines device, velocity and identity signals into a decision — with a written narrative of exactly why.

STEP 3
ZIC maps the ring

The flagged account joins a relationship graph — shared devices, timing clusters and mule patterns become visible.

STEP 4
Standards drive the response

ZAIS™ governs the investigation; ZEOL™ locks outflows if the attack is live. Findings tune the rules for the next cycle.

Three principles, no exceptions.

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Deterministic, not black-box

A model score you can't explain is a liability in an RBI audit. Every Zarelva decision names its signals and thresholds — your compliance team can defend it line by line.

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Evidence-grade by default

SHA-256 integrity on evidence, full audit trails, and investigation standards published openly — built for the moment a regulator, investor or court asks "prove it."

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Zero production access

The platform works from exports and SDK signals — no credentials, no API keys into your core systems, no PII collected at the device layer. NDA before any data moves.

Watch the stack catch fraud — live.

Run the interactive demo, or start with a $599 Snapshot and see what the platform finds in your own data within 48 hours.

Try the Live Demo → See Pricing

Questions? Book a 30-minute call or WhatsApp +91 76768 37358