EndorsedendorsedCompleted

Identity Verification Platform Development for Interbank Network

Services Covered:

Custom Software DevelopmentMobile Application DevelopmentUI/UX Design
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Industry
Industry

Financial Services

Duration
Duration

12 months

Budget
Budget

Confidential

Client Size
Start Date

1 October 2025

Team Size
Team Size

16-20 Employees

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
80/100
Strong

Project Capability Score (PCS) estimates how capable Euristiq 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

Confidential

map Canada

Project Summary

Euristiq developed and designed a privacy-focused identity verification platform for a Canadian interbank network, providing UI/UX reviews, front- and back-end engineering, mobile app development, and QA. The team re-architected the system for event-driven processing by migrating more than 18 microservices from Amazon SQS to Kafka and evaluated OCR providers via a Golang proof-of-concept. The engagement improved scalability, onboarding speed, and fraud prevention while maintaining strong accountability and communication.

Key Challenges

  • Develop a secure, scalable, and privacy-compliant online identity verification system
  • Ensure PII is processed only with explicit user consent and deleted immediately after verification
  • Increase onboarding flexibility and speed
  • Improve system scalability to support high user volumes
  • Enable effective API versioning
  • Identify the most suitable OCR provider for accurate document verification

Project Deliverables

  • UI/UX design reviews
  • Front-end and back-end development
  • Mobile application development
  • Quality assurance
  • Designed and implemented APIs with a custom API versioning solution
  • Migration of 18+ microservices from Amazon SQS to Kafka
  • Service monitoring, logging, tracing, and event standardization
  • Golang Proof-of-Concept evaluating three OCR providers and detailed recommendations

Project Solution

Euristiq assigned a 19-person team to provide end-to-end development and improvements for an online identity verification platform. They performed technical stack selection, architecture engineering, and requirements elaboration; conducted UI/UX design reviews; delivered front-end, back-end, and mobile development; and provided QA. The vendor designed and implemented APIs (including a custom API versioning solution), re-architected the system to support event-driven processing by migrating more than 18 microservices from Amazon SQS to Kafka, implemented service monitoring/logging/tracing and event standardization, and executed a Golang proof-of-concept to evaluate three OCR providers with recommendations.

Project Outcome

  • 18+ microservices migrated from Amazon SQS to Kafka, significantly improving scalability and asynchronous event processing
  • Three OCR providers evaluated through a Proof-of-Concept with a clear recommendation
  • Streamlined identity verification process resulting in quicker and smoother user onboarding
  • Improved fraud prevention, including document reuse detection and fuzzy name matching
  • Enhanced visibility and control over verification workflows via customizable checks and improved reporting

Platforms

  • MobileMobile
  • API/Integration PlatformAPI/Integration Platform

Tech Stack

  • GoGo
  • Amazon Web Services (AWS)Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Euristiq has migrated over 18 microservices from Amazon SQS to Kafka, improving scalability and the system's ability to process high volumes of asynchronous events. The team has a proactive approach and is highly accountable. Euristiq has also been professional and responsive throughout the project.

Anonymous

Project Manager

Note: This endorsement is based on publicly available client feedback from external review sources.

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