Pharmaceuticals
enterpriseTarget: Drug discovery firm
If you are a drug discovery firm dealing with 6,000 new papers published daily — this project developed the Researcher Workspace that reduces data-gathering time by up to 40%.
The Digital R&D team member · Project
AI-Powered Research Assistant to Automate Scientific Data Analysis and Knowledge Extraction
digitalPilotedTRL 8
Imagine having a super-librarian who has read every scientific paper and patent ever written and can answer your questions instantly. Instead of researchers spending half their week digging through piles of documents, this AI does the heavy lifting. It connects the dots between different studies so humans can focus on inventing things rather than searching for files.
By the numbers
40%
reduction in data-gathering time
30%
industry researchers' time wasted on data tasks
5-10%
increase in corporate innovation efficiency
7.64 million
EUR investment secured
6,000
papers published daily
The business problem
What needed solving
R&D teams in science-heavy industries waste up to 40% of their time on manual data gathering and cleaning. The exponential growth of daily publications makes it impossible for humans to keep up with all relevant knowledge.
The solution
What was built
The Researcher Workspace, a TRL8 platform that automates document comprehension and knowledge extraction using non-hallucinatory AI.
Audience
Who needs this
Pharmaceutical R&D DirectorsBiotech Knowledge ManagersMaterials Science Lead ResearchersMedTech Innovation Heads
Business applications
Who can put this to work
Materials Science
mid-sizeTarget: Specialty chemicals manufacturer
If you are a specialty chemicals manufacturer dealing with the burden of extracting insights from competitor patents — this project developed a TRL8 platform that automates document comprehension and knowledge extraction.
MedTech
SMETarget: Medical device developer
If you are a medical device developer dealing with researchers wasting 30% of their time on cleaning data — this project developed a secure, non-hallucinatory AI that increases corporate innovation efficiency by 5-10%.
Frequently asked
Quick answers
What is the cost or pricing model for this solution?
Based on available project data, specific pricing is not disclosed, but the project secured €7.64 million in investment to scale the platform.
Can this be deployed at an industrial scale?
Yes, the project transitioned to a TRL8 platform called the Researcher Workspace, which is already deployed in four pilot organizations.
How is the intellectual property or licensing handled?
Based on available project data, the platform is designed for secure, on-premise deployment to protect proprietary research and internal sources.
How does it integrate with existing R&D workflows?
It acts as a digital team member that automates searching, aggregating, and cleaning data, reducing manual tasks by up to 40%.
What is the timeline for implementation?
The project period ran from 2023-05-01 to 2025-04-30, resulting in a platform ready for deployment in pilot organizations.
Consortium
Who built it
The consortium is highly lean and industry-focused, consisting of 2 SMEs from Norway and Bulgaria. With a 100% industry ratio and no university partners, the project was driven by commercial viability and rapid deployment, supported by a team of 20 members.
How to reach the team
Contact IRIS AI AS in Norway
Next steps
Talk to the team behind this work.
Contact us to explore licensing or pilot opportunities for the Researcher Workspace.
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