
ENPICOM offers a unified bioinformatics platform designed to accelerate biologics discovery and engineering for AI and lab scientists. The platform integrates best-in-class bioinformatics, a scalable…

ENPICOM offers a unified bioinformatics platform designed to accelerate biologics discovery and engineering for AI and lab scientists. The platform integrates best-in-class bioinformatics, a scalable…
Headquarters: 's-Hertogenbosch, The Netherlands
Product: Unified bioinformatics platform for biologics discovery (data foundation, automated workflows, ML integration)
Founders / CEO: Nicola Bonzanni (Founder & CEO); co-founders include Jos Lunenberg and Alvise Trevisan
Recent financing: Growth financing announced Mar 21, 2024 with BOP Impact Ventures and BOM Brabant Ventures; Colby Souders joined as investor
2015
Bioinformatics for biologics discovery and engineering
2015
Biotechnology Research
~$1.4M
Investors included NextGen Ventures and Arches Capital
€500k
Dealroom lists an earlier grant in Jul 2018
Additional growth capital from BOP Impact Ventures and BOM Brabant Ventures; Dr. Colby Souders joined as a new investor
“Investors include BOM Brabant Ventures, BOP Impact Ventures, NextGen Ventures, Arches Capital, and individual investor Colby Souders”
Machine-Learning Internship Who We Are ENPICOM is an innovative software engineering company committed to accelerating biologics discovery and development. With a deep understanding of biology, software engineering, and AI, ENPICOM delivers tailored, scalable tools that enable scientists to easily access and apply AI models for decision-making. We help transform complex workflows into efficient scientific outcomes, reducing costs and shortening the path to innovative treatments.
Internship Project Description (MSc) In the AI team, we’re actively working on state-of-the-art machine learning models with the aim of improving therapeutic drug development. We’re looking for someone with an interest in mathematical modeling, protein structures, and deep learning to contribute to the next generation of generative AI models to improve drug development.
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