Fast MVP · Eureka Labs | AI Prototype in Just 10 Days

An AI-Powered

MVP in Just 10 Days

An AI-Powered

MVP in Just 10 Days

In less than two weeks, we developed an AI-powered MVP of a psychometric test scoring system for a public sector entity. The goal: enable early validation of complex image recognition workflows before committing to full-scale development. The result was a working prototype that reduced risks, aligned stakeholders, and accelerated decision-making

About

A government organization responsible for administering psychometric evaluations to citizens as part of its core services.

The Challenge

Our growth partner needed a web-based back-office application to automate the upload, processing, and management of psychometric test results.

The system had to:

Use OCR and AI for advanced image recognition
Process answer sheets automatically
Store test results
Allow additional patient data entry
Handle multiple results per patient with minimal friction

Our growth partner needed a web-based back-office application to automate the upload, processing, and management of psychometric test results.

The system had to:

Use OCR and AI for advanced image recognition
Process answer sheets automatically
Store test results
Allow additional patient data entry
Handle multiple results per patient with minimal friction

The Solution

We delivered an AI-powered MVP prototype that simulated real-world conditions to help our growth partner validate feasibility and guide future development.

Key aspects of the solution included:

Feasibility Validation
Confirmed that AI models could accurately detect and extract answers from real test layouts.
API Response Simulation
Built mock API outputs matching production behavior to test system integration and reduce risk.
Early Proof of Concept
Delivered a working prototype to stakeholders in 10 days, minimizing risks before full-scale investment.
Limitation Detection
Identified weak spots in image quality, lighting, and form design for future UX improvements.
Performance Evaluation
Tested MVP under real-world conditions to ensure reliability.

We delivered an AI-powered MVP prototype that simulated real-world conditions to help our growth partner validate feasibility and guide future development.

Key aspects of the solution included:

Feasibility Validation
Confirmed that AI models could accurately detect and extract answers from real test layouts.
API Response Simulation
Built mock API outputs matching production behavior to test system integration and reduce risk.
Early Proof of Concept
Delivered a working prototype to stakeholders in 10 days, minimizing risks before full-scale investment.
Limitation Detection
Identified weak spots in image quality, lighting, and form design for future UX improvements.
Performance Evaluation
Tested MVP under real-world conditions to ensure reliability.

Our Approach

We assembled a specialized team to build an AI-powered MVP that automates psychometric test scoring with minimal friction. The approach prioritized computer vision over OCR to reduce error rates and simplify exam setup using reference images provided by our growth partner.

Discovery & Data Preparation

Collected key inputs, including business needs, goals, use cases, key processes, restrictions and constraints, privacy and compliance requirements, and UI expectations.

Used AI tools to refine and enrich growth partner information, ensuring

readiness for code generation.

MVP Generation with GenAI

Applied prompt engineering to generate the first MVP version using Gen AI.
Iterated on source code and UI to improve output.

Testing & Fine-Tuning

Validated user flows, fine-tuned the codebase, and resolved UI and

functional bugs.

Deployment & Demo Readiness

Deployed code to production in order to make it accessible to users for demo and validation.