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Intelligent Drug Discovery & Biologics Engineering — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Biotech And Biomedical Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
minimalbio.com ↗	70 match 1 shared topics	Minimal Bio — Biologics Discovery Consulting \| Computational Protein Design	US~ en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
stroomai.com ↗	70 match 1 shared topics	StroomAI - Biochemical Modeling for Drug Discovery & Precision Medicine	US~ en	biotech-and-biomedical-industry	robotsllmsaihumans	email phone	none
labofthefuturetoday.com ↗	70 match 1 shared topics	Lab Data Informatics for Drug Discovery \| Dotmatics	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
3d-cember.com ↗	69 match 1 shared topics	Human Tissue Models for Advanced Drug Discovery	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
mimetas.com ↗	69 match 1 shared topics	Human Tissue Models for Advanced Drug Discovery	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
bioworkshop.co.uk ↗	69 match 1 shared topics	End-To-End Drug Discovery and Development Platform \| Bioworkshop	GB en	biotech-and-biomedical-industry WordPress	robotsllmsaihumans	emailphone	none
thebioworkshop.co.uk ↗	69 match 1 shared topics	End-To-End Drug Discovery and Development Platform \| Bioworkshop	GB en	biotech-and-biomedical-industry WordPress	robotsllmsaihumans	emailphone	none
accenius.ai ↗	68 match 1 shared topics	Quantum AI – Drug discovery \| Biotech	en	biotech-and-biomedical-industry WordPress	robotsllmsaihumans	emailphone	none
kyrosintel.com ↗	68 match 1 shared topics	Kyros Intel \| Chain-of-Custody Intelligence for Biologics	en	biotech-and-biomedical-industry	robots llmsaihumans	emailphone	none
rnananorobotics.com ↗	68 match 1 shared topics	RNAnanorobotics — Engineering RNA Nanotechnology for Precision Drug Delivery	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
eb4bm.org ↗	68 match 1 shared topics	Home - Engineering Biology For Biomedicine	en	biotech-and-biomedical-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
straticabio.com ↗	68 match 1 shared topics	Building Biological Intelligence Infrastructure	US~ en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
stromapath.com ↗	68 match 1 shared topics	StromaPath — Computational Biology for Drug Discovery	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
stpierredevices.com ↗	68 match 1 shared topics	Hardware & Embedded Engineering	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
rnav8bio.com ↗	68 match 1 shared topics	RNAV8 \| mRNA Engineering Redefined	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
strandai.com ↗	68 match 1 shared topics	Strand AI — Multimodal Patient Data for Life Sciences & Drug Discovery	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	partial · 8
3dxcell.com ↗	68 match 1 shared topics	3DxCell \| Organoid-Based Preclinical Solutions \| Drug Discovery	SE~ en	biotech-and-biomedical-industry	robots llmsaihumans	email phone	partial · 6
abterrabio.com ↗	68 match 1 shared topics	Abterra Biosciences \| Antibody Discovery & Sequencing	en	biotech-and-biomedical-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.