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Seqlytics | The Engine of Genomic Discovery — 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
labgeniustx.com ↗	69 match 1 shared topics	LabGenius Therapeutics \| ML-driven Antibody Discovery	en	biotech-and-biomedical-industry WordPress	robots llmsaihumans	emailphone	none
labgeniustherapeutics.com ↗	69 match 1 shared topics	LabGenius Therapeutics \| ML-driven Antibody Discovery	en	biotech-and-biomedical-industry WordPress	robots llmsaihumans	emailphone	none
kytopen.com ↗	69 match 1 shared topics	Kytopen - The Future in Cell Therapy Discovery and Manufacturing	en	biotech-and-biomedical-industry HubSpot	robotsllmsaihumans	emailphone	none
labofthefuturetoday.com ↗	68 match 1 shared topics	Lab Data Informatics for Drug Discovery \| Dotmatics	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
nexotype.com ↗	67 match 1 shared topics	Nexotype — Biotech Intelligence & Drug Discovery Platform	en	biotech-and-biomedical-industry	robots llmsaihumans	emailphone	none
nexomegenomics.com ↗	67 match 1 shared topics	Nexome Genomics - Home	en	biotech-and-biomedical-industry Weebly	robotsllmsaihumans	emailphone	none
nexithera.com ↗	67 match 1 shared topics	NexiThera – Autonomous Scientific Discovery	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
theiagen.com ↗	67 match 1 shared topics	Expert Bioinformatics Consulting for Public Health Genomics \| Theiagen Consulting LLC	en	biotech-and-biomedical-industry	robotsllmsaihumans	email phone	none
3dgenetic.com ↗	66 match 1 shared topics	3D Genetic — The Future of Bioprinting, Gene Editing & Genetic Engineering	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	partial · 8
tumoronachip.com ↗	66 match 1 shared topics	Human Tissue Models for Advanced Drug Discovery	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
tumouronachip.com ↗	66 match 1 shared topics	Human Tissue Models for Advanced Drug Discovery	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
3d-cember.com ↗	66 match 1 shared topics	Human Tissue Models for Advanced Drug Discovery	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
gutonachip.com ↗	66 match 1 shared topics	Human Tissue Models for Advanced Drug Discovery	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
2bind.com ↗	66 match 1 shared topics	Biopharma CRO for Antibody & Small Molecule Discovery \| 2bind	Germany~ en	biotech-and-biomedical-industry WordPress	robotsllmsaihumans	emailphone	none
nextmolecular.com ↗	66 match 1 shared topics	Home \| NEXT Molecular Analytics \| Laboratory Testing	en	biotech-and-biomedical-industry Wix	robots llmsaihumans	emailphone	none
3dxcell.com ↗	66 match 1 shared topics	3DxCell \| Organoid-Based Preclinical Solutions \| Drug Discovery	Sweden~ en	biotech-and-biomedical-industry	robots llmsaihumans	email phone	partial · 6
1cell.ai ↗	65 match 1 shared topics	AI-Powered Single Cell Multi-Omic Analysis \| 1Cell.ai	en	biotech-and-biomedical-industry WordPress	robots llmsaihumans	emailphone	none
aml2ligand.online ↗	65 match 1 shared topics	AML 2 Ligand - Revolutionizing AML Drug Discovery with AI & RNA-Seq	en	biotech-and-biomedical-industry	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.