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Iris.ai

Biotech & Life Sciences · Bærum, Norway · Founded 2015

An AI based platform for R&D departments to make research documentation actionable MoreLess

Developer of a research assistance tool designed to help search and map millions of open-access research papers. The company's tool uses a combination of keyword extraction, word embeddings, neural topic modeling, and artificial intelligence to review research papers or patents, find the right documents, extract all their key data or identify the pieces of knowledge, enabling research teams to conduct secondary scientific research with the assistance provided by a search engine that deploys natural language processing algorithms. Keywords: Software, Fintech, Security and Connectivity, Ai Science Assistant, Ai-Powered Drug Discovery, Artificial Intelligence System, Language Processing Algorithm, Scientific Research, Systematic Mapping Study.

Talent graph

Iris.ai's talent

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Team profiled 13 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 5 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Investors

8 investors on Iris.ai's cap table

Sourced from Dealroom's funding and investor records.

Seed 6 investors entered at this stage
Founders Factory
Nordic Impact
Bakken & Baeck
The Index Project
European Innovation Council
Research Council of Norway
Series A 1 investor entered at this stage
EIC Fund
Series B+ 1 investor entered at this stage
Silverline Capital

Global footprint

Where Iris.ai has talent and traffic

Workforce by country
6 countries with
team presence
🇧🇬 Bulgaria63.9%
🇺🇦 Ukraine5.6%
🇨🇭 Switzerland2.8%
🇮🇹 Italy2.8%
🇪🇸 Spain2.8%
Top 5 of 6 shown

Market sentiment

What the market is saying about Iris.ai

An AI-synthesized read of the highest-engagement posts about Iris.ai on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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