Organization · Startup

Thinking Machines Lab

Thinking Machines Lab is an artificial intelligence research and product company based in San Francisco, California. Founded by AI industry veterans, it focuses on enhancing public understanding and accessibility of AI technologies.

StartupFunderPublisher

Overview

What Thinking Machines Lab does

What Thinking Machines Lab is

Thinking Machines Lab is an artificial intelligence research and product company based in San Francisco, California. Founded by AI industry veterans, it focuses on enhancing public understanding and accessibility of AI technologies.

How it participates in the startup ecosystem

The current public profile supports funder and publisher capabilities. Each capability below is shown separately so organization identity and role-specific information do not get conflated.

Operational profile

Organization status and context

Organization status describes the entity itself. Funding and program availability appear within the relevant capability profile.

Operational status
Active
Organization type
Startup
Founded
Founded in 2025
Approximate age
About 1 year
Structured capabilities
Funder · Publisher
Last reviewed
March 19, 2026

Official channels

Find Thinking Machines Lab elsewhere

Open the official website or a supported primary organization account.

Capability profile

Thinking Machines Lab as a funder

Investment thesis

Thinking Machines Lab invests in the development of customizable AI systems that enhance human-AI collaboration.

Focus narrative

Thinking Machines Lab invests in the development of AI systems that are customizable and capable of human-AI collaboration. Their focus includes building multimodal systems that can adapt to various fields of work, emphasizing model intelligence and infrastructure quality to support advanced applications in science and programming.

Focus and fit

Stages
Seed · Series A · Series B
Regions
Global

Availability

Currently deploying
Not published

Portfolio and track record

Portfolio context

The team at Thinking Machines Lab has contributed to several widely used AI products, including ChatGPT, Character.ai, and open-source projects like Mistral, PyTorch, OpenAI Gym, Fairseq, and Segment Anything.

Capability profile

Thinking Machines Lab as a publisher

Editorial focus

Thinking Machines Lab is dedicated to bridging gaps in knowledge and usability of AI systems, focusing on customizable AI systems capable of human-AI collaboration. They emphasize building multimodal systems that adapt to various fields, ensuring high model intelligence and infrastructure quality for advanced applications in science and programming.

Audience value

Thinking Machines Lab aims to make AI technologies more accessible and understandable to the public, fostering collaboration between humans and AI systems.

Format and cadence

Content formats
blog
Primary platform
thinkingmachines.ai

Availability

Guest pitch state
Not currently accepting

Audience and focus

Audience
Researchers
Regions
Global

Flagship work and coverage

Flagship properties

The organization publishes technical blog posts, papers, and code to disseminate their research and findings.

Notable coverage

The team has contributed to widely used AI products such as ChatGPT, Character.ai, and several open-source projects including Mistral, PyTorch, OpenAI Gym, Fairseq, and Segment Anything.

Connected ecosystem

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Common questions

What to know about Thinking Machines Lab

Upseed classifies Thinking Machines Lab under the Startup organization type. Its current public profile includes funder and publisher capabilities.

Next step

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Source and update disclosure

Know what this page is based on

Source basis

Public organization and program material, official websites, and structured Upseed records.

Last reviewed

March 19, 2026

Known limits

Capability profiles appear only when a structured public profile also contains decision-useful role evidence. Terms and availability can change.

Upseed is an independent guide. It is not affiliated with or endorsed by the organization described on this page.