Strand AI is a Y Combinator W26 company developing multimodal foundation models to predict uncollected patient biology. The platform infers missing biological data, spanning genomics, RNA, proteins, and imaging, from a patient's existing information, helping pharmaceutical companies select better clinical trial candidates and accelerate drug launch timelines. It targets pharma and biotech teams working on patient selection and trial design. Strand AI is based in the San Francisco Bay Area and was founded in 2025.
Strand AI
ActiveMultimodal foundation models to predict uncollected patient biology
Total raised
$500K
1 round
Stage
Seed
Jan 2026
Team
1-10
since 2026
Pricing
—
Founded
2026
San Francisco, United States
Agent-ready
—
Multimodal foundation models for biological prediction
Inference of uncollected patient biology from existing data
Coverage across genomics, RNA, proteins, and imaging modalities
Patient selection support for clinical trials
Predicted data to accelerate drug launch timelines
Cross-modal modeling of missing biological measurements
Tools aimed at pharma trial design teams
Insights derived from a patient's available information
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2026 Seed $500K ● Y Combinator
Capital network
$500K raised ·1 backer·10 network links
- Backers1
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
Pearl Health
AI value-based care platform for primary care providers
AI AnalyticsAI Healthcare
Commure
AI Healthcare
Innovaccer
AI Healthcare
Truveta
AI Healthcare
Terray Therapeutics
Generative AI and ultra-high-throughput chemistry for small-molecule drug discovery
AI HealthcareDrug Discovery
Genesis Molecular AI
Generative AI for small-molecule drug discovery
AI HealthcareDrug Discovery
- What does Strand AI do?
- Strand AI builds multimodal foundation models that predict uncollected patient biology across genomics, RNA, proteins, and imaging from a patient's existing information.
- How does inferred biology help pharma?
- It helps pharmaceutical companies select better clinical trial candidates and accelerate drug launch timelines without collecting every measurement directly.
- Which biological modalities does it cover?
- It spans genomics, RNA, proteins, and imaging in a multimodal modeling approach.
- Who is Strand AI for?
- It targets pharma and biotech teams working on patient selection and clinical trial design.
Discussion
Sign in to join the discussion.
Sign inExplore more around Strand AI
Contextual paths to related AI startups, deals and rankings.