
Lila Sciences
Founded Year
2022Stage
Series A - II | AliveTotal Raised
$550MValuation
$0000Last Raised
$115M | 1 mo agoAbout Lila Sciences
Lila Sciences focuses on scientific discovery through its scientific superintelligence platform within the life, chemical, and materials sciences domains. The company offers a platform that integrates AI with autonomous laboratories to design, conduct, observe, and redesign experiments, aiming to produce new scientific knowledge at a significant scale and accuracy. Lila Sciences primarily serves sectors that require scientific research and development capabilities. It was founded in 2022 and is based in Cambridge, Massachusetts.
Loading...
Loading...
Research containing Lila Sciences
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Lila Sciences in 7 CB Insights research briefs, most recently on Nov 5, 2025.


Oct 20, 2025 report
Book of Scouting Reports: 2025’s Digital Health 50

Oct 3, 2025 report
Dual AI engines: LLMs and optimizers sweep September mega-round funding
May 16, 2025 report
Book of Scouting Reports: 2025’s AI 100
Apr 24, 2025 report
AI 100: The most promising artificial intelligence startups of 2025
Apr 3, 2025 report
State of Venture Q1’25 ReportExpert Collections containing Lila Sciences
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Lila Sciences is included in 7 Expert Collections, including Artificial Intelligence (AI).
Artificial Intelligence (AI)
20,894 items
AI 100 (2025)
100 items
AI 100 (All Winners 2018-2025)
100 items
Generative AI
2,951 items
Companies working on generative AI applications and infrastructure.
Unicorns- Billion Dollar Startups
1,309 items
Advanced Manufacturing
4,532 items
Companies in the advanced manufacturing tech space, including companies focusing on technologies across R&D, mass production, or sustainability
Latest Lila Sciences News
Nov 11, 2025
CB Insights noted in a report that October’s record funding indicates that the AI infrastructure buildout remains far from over, with OpenAI’s $22.5B raise accounting for about half of the month’s total. However, CB Insights also pointed out that unlike September’s relatively more concentrated focus on raw compute and model training, October’s AI ( artificial intelligence ) infrastructure deals appear to spread beyond models in order to “encompass the full stack, from semiconductors to open-source databases.” According to the report from CB Insights, this funding distribution presents a clear pattern: investors are “backing companies that help businesses use AI , not just build it.” This includes agent infrastructure , workflow automation, and “verticalized AI tools for legal, healthcare, and industrial sectors.” Using CB Insights’ predictive signals, their Book of Scouting Reports offers an analysis of every private tech firm that has raised a funding round of $100M or more. It looks at where private capital is concentrating, startups gaining momentum, and which companies “are becoming tomorrow’s AI disruptors.” Some of the main takeaways identified in the CB Insights report are as follows: AI infrastructure funding is diversifying across the entire stack, from chips to agent frameworks. The 13 AI infrastructure companies that raised mega-rounds in October span semiconductors (Substrate, Tachyum, Nscale), models (OpenAI, Fireworks AI, xAI, Reflection AI, General Intuition, Fal), AI cloud computing (Crusoe), agent infrastructure (LangChain, n8n), and an open-source database (Supabase). Five of those companies — Fireworks AI, Substrate, LangChain, n8n, and Reflection AI — became unicorns (valuations of $1B+) this month. This breadth suggests that investors see additional opportunities across every layer of the infrastructure stack, rather than concentrating capital solely in categories with historically high funding, such as LLMs. Legal AI companies are seeing the most momentum, outperforming even AI infrastructure (avg. Mosaic score of 840). The 3 legal AI companies that raised mega-rounds — Legora (Mosaic 847), Harvey (Mosaic 919), and EvenUp (Mosaic 803) — had the highest average Mosaic score (856) among October mega-rounds and span applications from personal injury claims to general legal workflows. Legal AI’s high Mosaic scores indicate strong potential for continued success, driven by existing tangible commercial traction: law firms and legal departments are already adopting these tools, as evidenced by Harvey’s reported $100M ARR. Healthcare companies are attracting $100M+ rounds despite early commercial maturity, signaling long-term bets on specialized AI. Healthcare companies averaged a Commercial Maturity score of 3 — the lowest of any major category across last month’s mega-rounds. These companies include Lila Sciences (Commercial Maturity score of 2: Validating), which integrates AI with autonomous laboratories for scientific discovery, and DUOS (Commercial Maturity score of 3: Deploying), which matches Medicare beneficiaries with resources using AI. Despite limited commercial traction, these companies raised substantial rounds showing investors are prioritizing long-horizon bets over near-term commercial validation. Sponsored Links by DQ Promote
Lila Sciences Frequently Asked Questions (FAQ)
When was Lila Sciences founded?
Lila Sciences was founded in 2022.
Where is Lila Sciences's headquarters?
Lila Sciences's headquarters is located at 55 Cambridge Parkway, Cambridge.
What is Lila Sciences's latest funding round?
Lila Sciences's latest funding round is Series A - II.
How much did Lila Sciences raise?
Lila Sciences raised a total of $550M.
Who are the investors of Lila Sciences?
Investors of Lila Sciences include Alumni Ventures, Pennant Investors, Dara Holdings, IQT, NVentures and 21 more.
Who are Lila Sciences's competitors?
Competitors of Lila Sciences include xAI, Anthropic, Asteromorph, Potato, SandboxAQ and 7 more.
Loading...
Compare Lila Sciences to Competitors

Inflection AI focuses on enterprise artificial intelligence, providing artificial intelligence (AI) model training and tuning while addressing data security and cost efficiency for enterprise clients. The company's solutions integrate into business operations. It was founded in 2022 and is based in Palo Alto, California.

Google DeepMind operates as an artificial intelligence (AI) research company focused on AI across various sectors. The company develops generative AI models for creating images, music, and videos, and conducts research in health, climate, and quantum computing. Google DeepMind was formerly known as DeepMind. It was founded in 2010 and is based in London, United Kingdom. In January 2014, Google DeepMind was acquired by Google at a valuation between $500M and $650M.

OpenAI offers artificial intelligence (AI) research and deployment focused on ensuring that AI benefits all of humanity. Its main offerings include developing AI technologies with a commitment to safety, alignment with human values, and broad societal benefits. Its products and services are designed to address global challenges and promote the equitable distribution of AI advantages. It was founded in 2015 and is based in San Francisco, California.

Letta specializes in developing AI agents within the technology sector. The company offers a platform that enables the creation, deployment, and management of AI agents with memory and reasoning capabilities, supported by a visual interface and APIs. Letta serves the artificial intelligence and machine learning industry. It was founded in 2024 and is based in San Francisco, California.

DeepSeek focuses on the development of artificial general intelligence (AGI) within the technology sector. The company offers a platform that facilitates application programming interface (API) calls for integrating AI (artificial intelligence) capabilities and a chat interface for exploring AGI applications. DeepSeek's products are designed to serve as efficient AI assistants for various user needs. It was founded in 2023 and is based in Hangzhou, China.
NexusIQ Solutions focuses on artificial intelligence and machine learning within the technology sector. The company provides corporate training programs, artificial intelligence (AI) or machine learning (ML) technologies, product development, and consulting services. It serves businesses looking to integrate AI/ML into their operations and those needing guidance to navigate digital transformation. The company was founded in 2025 and is based in Hyderabad, India.
Loading...