# Lila Sciences

**Canonical:** https://apis.io/providers/lila-sciences/  
**Website:** https://www.lila.ai/  
**APIs profiled:** 0

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.

## Kin Score — 10.4 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 10.4).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

Regulatory layer — **Energy & Utilities**: 18.9 (matched via tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Lila Sciences Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Artificial Intelligence, Machine-Learning, Scientific Research, Life Sciences, Biotechnology, Therapeutics, Advanced Materials, Laboratory Automation, Robotics, Drug Discovery, Energy

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/lila-sciences/). Scores are computed from the provider's own public artifacts under a published rubric.