ML/LLM-assisted document verification
A deployed application extracts and validates data from credit documents for internal staff and external stakeholders, built with FastAPI, PostgreSQL, Next.js and TypeScript.
Financial services · Canada
From document verification to loan origination.
ML/LLM-assisted document verification and an end-to-end loan origination platform, with technical ownership from development through production operations.
ClientBeaconFSA
Period2021–
EngagementContract development and technical operations through İnisiyatif
01 / Context
The business context.
Two separate systems were developed for Canada-based BeaconFSA, serving internal teams and external stakeholders. The engagement covered document processing, loan applications and loan servicing.
02 / Systems delivered
A closer look at the scope.
End-to-end loan origination platform
The platform covers application intake, scoring, approval workflows, online document signing and loan servicing. It uses React, Laravel and MongoDB on Docker Swarm.
03 / Technical responsibility
Our responsibilities.
- 01Application architecture and full-stack development
- 02Infrastructure, deployment and production operations
- 03Access control, backup and disaster recovery
04 / Delivered outcome
A working result.
Both business applications were built and deployed. Technical responsibility continued beyond development into infrastructure and production operations.
Next step
Let’s start with what you need.
Let’s discuss your current system, goals and a suitable engagement in a short call.