AI case study

Giles AIMedical data extraction

Scientists spent years trawling 40M+ medical articles. Now, AI parses complex literature with strict anti-hallucination guardrails.

Published|3 weeks ago

Key results

Time Reduction
85%
Human-AI Agreement Rate
98%
Extraction Accuracy
95%

Result highlights

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The story

Context

A London-based healthcare technology startup helps researchers navigate databases like PubMed, which hosts over 40 million articles, to accelerate the 10-to-12-year drug development lifecycle.

Challenge

Scientists spend roughly a third of the drug development process trawling through medical literature to find insights for clinical trials and...

Solution
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Quotes

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The company

Giles AI logo

Giles AI

giles.app

AI agent for healthcare and life sciences research and data extraction.

IndustrySoftware & Platforms
LocationLondon, England, United Kingdom
Employees1-10
Founded2023

The vendor

Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.

IndustryTechnology
LocationMountain View, CA, USA
Employees100K+
Founded1998

The implementation partner

Insight logo

Insight

sada.com
Role in this case study

Managed the infrastructure landing platform and helped streamline its migration to Google Cloud.

IndustryTechnology
LocationChandler, AZ, USA
Employees10K-50K
Founded1988

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