Fintech
AI products and apps for fintech teams
Money products live or die on trust, speed and compliance. Our founding team has built real-time market and trading apps used by large audiences, and we pair that with applied AI that removes manual work from onboarding, support and operations.
[ use cases ]
What we build for fintech
KYC and document AI
Extract, verify and route PAN, Aadhaar-masked, bank statements and invoices with human review only where confidence is low.
Support copilots
Grounded answers over your policies and product docs, with hand-off to agents and full audit trails.
Risk and anomaly alerts
Flag unusual transactions or behaviour and explain why, so ops teams act faster with fewer false positives.
Real-time investing apps
Live prices, watchlists, alerts and charts on Android and iOS, engineered for low latency and high concurrency.
Personal finance assistants
Conversational budgeting, spend insights and goal tracking that users actually open every week.
[ our approach ]
How we build it right
Data minimisation and encryption by default, designed around India's DPDP Act and RBI data-localisation expectations.
Human-in-the-loop checkpoints for any decision that moves money or affects eligibility.
Evaluation suites for every AI feature, so accuracy is measured before and after each model change.
Payment-ready architecture with Razorpay, Stripe and UPI flows, plus subscription and entitlement handling.
Typical stack
- Kotlin
- Swift
- Flutter
- Next.js
- PostgreSQL
- Claude
- Razorpay
- AWS
[ faq ]
Fintech FAQ
Yes. We design data flows, storage regions, consent and retention around your compliance team's requirements and document them for audits. Final regulatory sign-off stays with your compliance and legal teams.
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