endorsedCompleted

AI Document Intelligence Platform for Fintech

Services Covered:

AI and Machine Learning • Custom Software Development • API Development • Staff Augmentation

Industry

Financial Services

Duration

6 months

Budget

10K - 49K

Start Date

1 October 2025

Team Size

6-10 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

87/100

Strong

Project Capability Score (PCS) estimates how capable Acquaint Softtech Private Limited is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Hybopay Finance Ltd

Dublin, Ireland

Project Summary

Acquaint Softtech built an AI Document Intelligence system for a fintech client that automates document ingestion, extracts financial variables into structured data, and surfaces low-confidence items for human review. The engagement delivered a scalable pipeline, an internal review console, and API infrastructure while augmenting the client's engineering team. The team consistently met milestones and adapted to mid-project schema changes without disruption.

Key Challenges

Integrate a dynamic backend parser capable of handling fluid, variable document text arrays without breaking production builds
Build transactional logic checkpoints to cross-verify parsed inputs against existing ledger schemas before any write operation
Shift internal engineering resources away from manual data verification workflows toward training core AI agents
Augment the engineering team with developers who could immediately ship code without lengthy onboarding

Project Deliverables

A custom AI data-extraction model built for unstructured financial document processing
An internal web console designed for fast manual exception handling and field approval
API infrastructure connecting the document pipeline to live credit scoring engines
An augmented development squad fully integrated into GitHub and deployment workflows
Unit tests, automated edge-case validation scripts, and deployment documentation

Project Solution

Acquaint Softtech acted as an integrated squad and built an end-to-end AI Document Intelligence system. They implemented a scalable document ingestion pipeline that reads incoming documents, extracts relevant financial variables into structured data, and flags low-confidence entries. They added an asynchronous exception-handling layer that isolates problematic documents and surfaces them in an internal review interface for human resolution. The team delivered a secure, low-latency API infrastructure to connect the pipeline with live credit scoring engines and supplied unit tests, validation scripts, and deployment documentation.

Project Outcome

Documents that previously sat unverified for hours are parsed and validated within moments of hitting the endpoint
Data entry errors were effectively eliminated, providing the client with clean, reliable data for credit decisions
The vendor hit every scheduled milestone and integrated into the client's workflows (Kanban, Slack, PR-linked channels)
The team responded to a mid-project schema change by refactoring validation logic and updating staging over a single weekend

Platforms

Web
API/Integration Platform

Tech Stack

GitHub

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Acquaint Softtech Private Limited helped the client validate documents quickly and eliminate data entry errors. The team completed every milestone on time and adapted promptly to changes mid-project. Moreover, they impressed the client with their ability to provide the right solution.”
Gerhard Drobits
CEO
Date: 05/17/2026