Back to directory
Life Sciences AISeedWorkflow

Output Labs

Scientific AI can become more useful by learning the mechanisms behind complex systems and using those explanations to guide new investigations.

Company snapshot

Stage
Seed
Funding
Seed (YC S21)
Status
published
Updated
Apr 23, 2026
Views

What they're building

Scientific AI can become more useful by learning the mechanisms behind complex systems and using those explanations to guide new investigations. Output Labs develops AI systems for mechanistic reasoning, aiming to model how complex systems work and apply those explanations to scientific problems.

Founders

Adi Mashiach, MD

Co-founder

Mirella Mashiach

Co-founder

Foundation model usage

Editorial estimates from product descriptions. Model providers and actual usage are not confirmed.

Inferred architecture
Agentic loops, Batch document processing, Multimodal processing
Estimated model demand
High intensity

NYC footprint

NYC presence
NYC company or team supported by public sources. Street address has not been verified.

Funding

Latest funding: Seed (YC S21). Lead investor: Y Combinator.

AI Lab Fit

Strong fit for multimodal reasoning, biological data retrieval, molecule and protein analysis, structured extraction, and research copilots.

Sources & location evidence

Open research desk ↗

Profile source review: 2026-11-04. Current AI product, canonical identity, active operations and NYC presence. Funding not rechecked unless a linked funding correction is recorded. Preserve one company identity. Apply canonical URL/name/copy corrections to the existing record; do not add a second card for the corrected identity. Publication is conditional on repairs.

Notes

Output Labs is tagged workflow based on buyer clarity, repeat workflow activity, public activity, and fit with the AI Atlas map.

Related NYC startups

Proxima Bio

Proxima Bio, formerly VantAI, is an AI-native platform for proximity-based drug discovery, mapping protein-protein interactions to design medicines that reshape protein networks rather than inhibit single targets.

Life Sciences AISeedWorkflow

Recent Activity

Raised $80M. · Apr 24, 2026
Envisagenics

Find therapeutic targets hidden in RNA splicing.

Envisagenics analyzes RNA splicing with AI to identify disease-specific drug targets, advancing therapeutic discovery for cancer and neurodegenerative conditions through its SpliceCore platform.

Life Sciences AISeries BInfra

Recent Activity

· today
Formation Bio

Drug development can advance faster when clinical assets, operational workflows, and accumulated evidence are coordinated through software rather than fragmented manual processes.

Formation Bio acquires clinical-stage medicines and develops them using an AI-native platform, combining drug selection, trial operations, and reusable data infrastructure.

Life Sciences AISeries DWorkflow

Recent Activity

· today