Industry 09, Fintech, BFSI & Fraud Prevention

Trust and safety engineering for financial products.

AI-driven fraud and scam detection, secure payment integrations, and reconciliation-grade financial workflows, anchored by Scamyodha, a mature scam-detection and community-reporting ecosystem.

Fraud & Scam DetectionPaymentsAI Pattern DetectionCommunity ReportingSecure Workflows

What We Build

What we build for fintech & BFSI teams.

Fraud & Scam Detection

AI pattern-detection ecosystems (mobile + web) that flag fraudulent behavior, let users report scams, and warn the community, the Scamyodha model on NestJS, PostgreSQL, and OpenAI.

Payments & Reconciliation

Checkout, subscriptions, and payouts engineered for reconciliation, retries, and compliance, integrated across CarQ, campaign platforms, and marketplaces.

Secure, Auditable Workflows

Financial workflows with audit trails, RBAC, and secure architecture, built to keep sensitive money and identity data inside your perimeter.

AI Risk Intelligence

GPT-powered classification and risk scoring that turn transaction and report streams into actionable trust-and-safety signals.

Products We’ve Built

Products from our own portfolio.

Ceegees-built products in this space, summaries below.

Scam Yodha

An AI-driven scam-detection and community-reporting ecosystem spanning mobile and web, it flags fraudulent patterns, lets users report scams, and warns the wider community, backed by a NestJS/PostgreSQL platform with OpenAI-powered detection. A mature product with multiple years of active development.

FAQ

Fintech & Fraud, common questions.

What’s your anchor proof in fintech?

Scamyodha, an AI scam-detection and community-reporting ecosystem, is a mature product with years of active development, combining mobile, web, and AI pattern detection.

Do you handle payment integrations?

Yes, we’ve engineered payment-gateway integrations (checkout, subscriptions, payouts) with reconciliation and retry logic across multiple products.

How do you approach security for financial data?

Audit trails, RBAC, least-privilege access, and secure-by-default architecture, sensitive money and identity data stays inside your security perimeter.

Building trust and safety into a financial product?

Bring us the fraud, payments, or compliance problem, we’ll scope the detection or workflow that hardens it.