Case Studies

Our case studies showcase how CapeStart’s data scientists, software developers, analysts, and subject matter experts apply AI, machine learning, and technology solutions to solve complex challenges and deliver measurable outcomes across industries.

FORWARD-DEPLOYED AI ENGINEERING

AI Literature Review Platform for Clinical Evidence Teams

A behind-the-scenes look at how CapeStart helped clinical evidence teams replace fragmented, manual literature review processes with one AI-powered platform.

MEDTECH & MEDICAL DEVICES

AI-Powered Bilingual Document Intelligence for a Medical Device Manufacturer

See how CapeStart helped a medical device manufacturer transform approximately 20,000 fragmented Arabic and English technical, regulatory, and operational documents into a secure, searchable knowledge foundation.

Pharma & Life Sciences

AI-Powered Conversational Search for Faster Literature Reviews

A conversational search layer turned thousands of scientific documents into an interactive evidence source, helping teams move from keyword search to verified, citation-backed answers.

Pharma & Life Sciences

How CapeStart AI Structured Medical Literature at Scale

CapeStart built an AI-powered Document Intelligence platform for a top-15 pharmaceutical manufacturer, helping automate literature-review activities, improve data quality, and accelerate evidence workflows across therapeutic areas.

Media & Entertainment

Rapid Piracy Takedown & Broadcast Content Protection

CapeStart helped a content-protection provider move from reactive monitoring to always-on enforcement, identifying illegal streams and supporting rapid takedowns for major broadcasters.

HEALTHCARE AI

Delivering Expert BI-RADS Data Labeling for Medical Natural Language Processing (NLP)

A major healthcare provider needed an experienced, innovative partner to help the development of an AI-based natural language processing (NLP) classifier.

HEALTHCARE AI

Helping a Major Healthcare Company Develop an Oncology-based AI Classifier

CapeStart helped a major multinational digital health company develop a multi-omic, AI-powered classifier to predict patient responses to checkpoint inhibitors. Checkpoint inhibitors are a class of immuno-oncology agents often used to treat solid tumors.