Lila Sciences website screenshot

Lila Sciences

Lila Sciences is an AI company founded in 2023 that is building what it calls Scientific Superintelligence: an autonomous system that runs the scientific method end to end by generating hypotheses, designing experiments, executing them in physical AI Science Factories (autonomous robotic laboratory networks), and learning from the resulting experimental data. Rather than training on internet text, Lila trains a scientific reasoning model on experimental data, coupling it to scalable verifiers and instruments such as molecular dynamics simulators, protein structure predictors, quantum chemistry solvers, and gene editors, then optimizing the policy with reinforcement learning. The company packages this as two commercial offerings: Catalyst, positioned as an operating system for science that accelerates an organization's existing research, and Creation, a partnership model for generating new discoveries, launching products, and founding new companies. Lila works across therapeutics (mRNA, proteins, antibodies, cell therapies, small molecules), advanced materials, chemicals, energy and environment, oil and gas, aerospace and defense, and biotech. It has raised roughly $550M ($200M seed announced March 2025 and a $350M Series A closed in October 2025) from investors including General Catalyst and NVIDIA, at a reported valuation above $1.3B, and collaborates with NVIDIA on the BioNeMo Agent Toolkit. Lila operates from Cambridge MA, San Francisco CA, and London UK. As of this profile Lila publishes no public developer API, developer portal, SDKs, or machine-readable API artifacts; this entry is a company identity record in the API Evangelist network.

Lila Sciences is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Scientific Research, and Life Sciences.

Lila Sciences’ developer surface includes engineering blog and 12 more developer resources.

14.3/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyArtificial IntelligenceMachine LearningScientific ResearchLife SciencesBiotechnologyTherapeuticsAdvanced MaterialsLaboratory AutomationRoboticsDrug DiscoveryEnergy

Kin Score

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scored 2026-07-27 · rubric v0.5
Composite quality — 14.3/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.4 / 20
Commercial Clarity 4.2 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/lila-sciences: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Lila Sciences Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Access & Security 1

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 7

The organization behind the API

Scroll for all 7

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: lila-sciences
name: Lila Sciences
description: 'Lila Sciences is an AI company founded in 2023 that is building what it calls Scientific Superintelligence:
  an autonomous system that runs the scientific method end to end by generating hypotheses, designing experiments, executing
  them in physical AI Science Factories (autonomous robotic laboratory networks), and learning from the resulting experimental
  data. Rather than training on internet text, Lila trains a scientific reasoning model on experimental data, coupling it
  to scalable verifiers and instruments such as molecular dynamics simulators, protein structure predictors, quantum chemistry
  solvers, and gene editors, then optimizing the policy with reinforcement learning. The company packages this as two commercial
  offerings: Catalyst, positioned as an operating system for science that accelerates an organization''s existing research,
  and Creation, a partnership model for generating new discoveries, launching products, and founding new companies. Lila works
  across therapeutics (mRNA, proteins, antibodies, cell therapies, small molecules), advanced materials, chemicals, energy
  and environment, oil and gas, aerospace and defense, and biotech. It has raised roughly $550M ($200M seed announced March
  2025 and a $350M Series A closed in October 2025) from investors including General Catalyst and NVIDIA, at a reported valuation
  above $1.3B, and collaborates with NVIDIA on the BioNeMo Agent Toolkit. Lila operates from Cambridge MA, San Francisco CA,
  and London UK. As of this profile Lila publishes no public developer API, developer portal, SDKs, or machine-readable API
  artifacts; this entry is a company identity record in the API Evangelist network.'
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://cdn.prod.website-files.com/691b0352c971a4b94f493c44/693bfaa4a31b3711de036f91_Lila%20Favicon.png
url: https://raw.githubusercontent.com/api-evangelist/lila-sciences/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- general-catalyst
- nvidia
x-tier: stub
x-tier-reason: no-public-api
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Scientific Research
- Life Sciences
- Biotechnology
- Therapeutics
- Advanced Materials
- Laboratory Automation
- Robotics
- Drug Discovery
- Energy
apis: []
common:
- type: DomainSecurity
  url: security/lila-sciences-domain-security.yml
- type: Website
  name: Lila Sciences
  url: https://www.lila.ai/
- type: About
  name: About Lila Sciences
  url: https://www.lila.ai/about
- type: Blog
  name: Lila Sciences News and Blog
  url: https://www.lila.ai/news
- type: Contact
  name: Contact
  url: https://www.lila.ai/contact
- type: Team
  name: Team
  url: https://www.lila.ai/team
- type: Careers
  name: Open Roles
  url: https://www.lila.ai/open-roles
- type: TermsOfService
  name: Terms of Use
  url: https://www.lila.ai/terms-of-use
- type: PrivacyPolicy
  name: Privacy Policy
  url: https://www.lila.ai/privacy-policy
- type: LinkedIn
  name: Lila Sciences on LinkedIn
  url: https://www.linkedin.com/company/lila-sciences/
- type: Twitter
  name: Lila Sciences on X
  url: https://x.com/LilaSciences
- type: Bluesky
  name: Lila Sciences on Bluesky
  url: https://bsky.app/profile/lilasciences.bsky.social
- type: LLMsTxt
  name: llms.txt for Lila Sciences
  url: llms/lila-sciences-llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence