At Neurelic Labs, we specialize in delivering advanced Risk Analytics and Fraud Detection systems tailored for fintech, trading, and capital markets. Our AI-driven models continuously analyze transactional behavior, trading anomalies, and account patterns in real-time to flag threats, enforce controls, and maintain platform integrity.
From options mispricing to suspicious login attempts, we help you build a robust risk shield — before vulnerabilities become liabilities.
We build modular risk scoring engines, rule-based monitors, and behavioral fraud detectors that adapt to the financial context — whether it’s a brokerage, neobank, or algo execution desk. Our system learns from user interactions, transaction histories, and systemic signals to detect outliers, assess risk posture, and issue dynamic responses like alerts, freezes, or throttling.
Our solutions can be integrated into your existing stack or deployed as API-first services with custom response logic.
Real-time transaction monitoring
Trade-level anomaly detection (price/volume/spread)
Behavioral user risk scoring (device, IP, action-based)
Automated alerting and escalation
SEBI- & RBI-aligned audit trail and logging
It’s the use of AI models and business rules to monitor and detect irregular patterns across trading or user activity — helping prevent losses, breaches, or regulatory violations.
We detect slippage in execution, odd order flow, location anomalies, API abuse, account takeovers, excessive volatility exposure, or rule violations in real-time.
Yes. You can configure risk rules, response severity, and escalation logic to align with your internal SOPs or regulatory obligations.
We offer it as a microservice/API layer with optional dashboards or alerts via Slack, email, or in-app. Models continuously retrain with feedback loops.
