ThirdRoc needed AI that was smart about when to think and fast about everything after.
If your fintech product has a similar challenge, we'd like to hear about it.
AI-Powered Credit Risk, Built to Scale Without Burning the Budget
ThirdRoc is a web-based lending platform built to make credit genuinely accessible. Borrowers get a clean path to Buy Now, Pay Later financing and Early Wage Access without the paperwork and delays that traditional banking demands.
The platform serves two sides at once: borrowers who need financial flexibility today, and lenders who need accurate, instant risk visibility to make confident decisions.
Most platforms don't think about it until it's too late. Every touchpoint costs money, and those costs compound.
OpenAI API bills per token. Every application, status check, admin review, and compliance pull triggers a billable call.
In a high-volume environment processing hundreds of applications daily, those API calls stack up exponentially.
A live OpenAI API call takes 2–5 seconds under normal conditions longer under load. That's not a user experience.
Multiple API calls for the same borrower risk returning different evaluations, creating audit trail gaps in regulated lending.
A deliberate architectural separation between when AI does the thinking and when the platform retrieves its conclusions.
Borrower submits loan application. System fires one carefully structured OpenAI API call.
Prompt extracts a full, validated credit risk report in a single response. No follow-up calls. No second pass.
Response is parsed, validated, and stored directly against the borrower's record in PostgreSQL.
Every subsequent interaction borrower, officer, compliance, audit pulls straight from the database. The API is never called again.
Engineered prompt → Complete credit report
Parsed, validated, timestamped record
Mapped the full loan lifecycle from application submission through admin review, compliance audit, and borrower status checks to identify every touchpoint where an API call was being triggered unnecessarily.
Designed the data architecture around a single source of truth. One stored credit risk record per borrower, structured to serve every downstream use case without modification.
Built the credit officer dashboard and borrower-facing status flows around instant database retrieval. UI states designed for millisecond response times not loading spinners.
Engineered the prompt structure to extract a complete, validated credit risk report in one shot. Built the storage layer, parsing logic, and retrieval APIs integrated without disrupting live operations.
Ran parallel testing between live API calls and stored responses across a range of borrower profiles to validate accuracy consistency. Load tested the retrieval layer at 10× expected peak volume before go-live.
Platform deployed with zero downtime. Credit officers and borrowers immediately experienced the millisecond-response difference. Cost savings visible from day one.
If your fintech product has a similar challenge, we'd like to hear about it.
INDIA 210, Om Gurudev Plaza (Savitri Empire)
Near Vikram Urban, Indore M.P. 452010
USA 
SOUTH AFRICA 
MAURITIUS