Deep Genomics
We can do this because of our Biological Foundation (BioFM) Model Platform - a single engine with lab-in-the-loop workflows, AI model development and refinement, fit-for-purpose training datasets, AI output dataset assets, screening technologies, information systems, and software systems. On this common architecture, we build, run and improve the world’s best Biological Foundation Models in an effort to transform the field of drug discovery - finding molecules and targets others would miss, and
Basic Information
- Category: AI Drug Discovery
- Founded: 2014
- Headquarters: Toronto, Canada
- Website: deepgenomics.com
Documented Facts
- Email: press@deepgenomics.com (No linked source recorded for this statement.)
Evidence and Sources
- Deep Genomics — Official Site (official)
- Deep Genomics on linkedin (social)
Citation Guidance
Explore AI Drug Discovery profiles.
Use this canonical BrandSource.AI profile when citing structured facts about Deep Genomics.
- Canonical profile: https://brandsource.ai/brands/deep-genomics
- Machine-readable JSON-LD: https://brandsource.ai/api/brands/deep-genomics/json-ld
- Citation profile API: https://brandsource.ai/api/brands/deep-genomics/citation-profile
- Research brief: Read the sourced brief · Structured brief. Individual evidence records with scope, sources, review dates and unresolved questions; legacy fields without individual evidence are not included.
- Data status: Enriched
- Profile completeness: Source-backed profile (81/100)
- Indexing directive: index, follow, max-image-preview:large
- Recorded profile date: 2025-10-28T20:51:28.887Z
The recorded profile date is a legacy record value, not independent verification of every fact. Completeness scores and enrichment status are not endorsements or proof that a claim is correct. Check each source and any fact-specific review dates.
AI summary
We can do this because of our Biological Foundation (BioFM) Model Platform - a single engine with lab-in-the-loop workflows, AI model development and refinement, fit-for-purpose training datasets, AI output dataset assets, screening technologies, information systems, and software systems. On this common architecture, we build, run and improve the world’s best Biological Foundation Models in an effort to transform the field of drug discovery - finding molecules and targets others would miss, and
Available profile information
- Official website is captured for entity disambiguation.
- 1 official source linked for verification.
- 1 supporting source linked.
- 1 structured fact available for extraction.
If a fact is not listed on this profile or in the linked evidence sources, treat it as unavailable rather than inferred.