Healthcare

AI-powered Tumor Technology | MVP Design

10 weeks powering Akoya’s next-generation tumor diagnostics.

Highlights / Intro

Akoya Biosciences required a clinical interface to support their proprietary AI-powered tumor assay system. The goal was to create an MVP and design system that gave laboratory staff and pathologists full visibility and control of samples, from tissue staining to reporting; while ensuring the system was intuitive and scalable for future adoption.

Challenge

Akoya’s tumor assay platform produced highly complex imaging data that needed to be:

Presented clearly for pathologists and lab staff without technical barriers.

Managed across the entire diagnostic workflow to avoid data silos.

Structured for future AI-driven insights and predictive analysis.

Solution

unosquare deployed a nearshore design team to build an enterprise web app with 34 screens and a custom design system. The MVP consolidated workflows, allowing medical staff to track samples, view assay results, and generate diagnostic reports seamlessly. By integrating clean data pathways into the design, the system positioned Akoya to better leverage AI in ongoing clinical use.

Team Deployed

Dedicated Design & Strategy team

Tech Stack

Enterprise Web App (Design System only, 34 views)

It was the power of our Centers of Excellence that elevated delivery: The Design COE crafted a user experience that transformed complex tumor imaging into clear, actionable insights for clinicians.
The Data COE ensured imaging data moved seamlessly through the MVP, establishing a foundation for future AI-driven diagnostic innovation.
Guided by the Product Engineering COE, the roadmap stayed fully aligned with Akoya’s mission to advance cancer research and diagnostics through technology.

The results:

Delivered a functional MVP and full design system in 10 weeks on budget.
Enabled end-to-end visibility across the lab workflow, reducing inefficiencies and manual handoffs.
Positioned Akoya to integrate AI tumor analysis more seamlessly into daily lab operations.
Created a scalable framework that supports rapid adoption across labs worldwide.