Where is Ollama headquartered?

Ollama is headquartered in Palo Alto, California, United States. The company has a team of 11-50 people.

Ollama operates in the AI Developer Tools sector. Open-source platform that lets developers run, manage, and build with open-weight AI models locally and in the cloud with a single command. The easiest way to run open-weight AI models locally and in the cloud — one command to download, run, and build with any open model, with seamless hybrid inference from desktop to datacenter.

When was Ollama founded?

Ollama was founded in 2023. It is based in Palo Alto, California, United States.

Who is the CEO of Ollama?

Jeffrey Morgan is the CEO of Ollama. The company was founded in 2023.

Where is Ollama located?

Ollama is headquartered in Palo Alto, California, United States.

What funding stage is Ollama at?

Ollama is currently at the Growth Stage stage.

How many employees does Ollama have?

Ollama has approximately 11-50 employees.

Ollama

Category: AI Developer Tools

Open-source platform that lets developers run, manage, and build with open-weight AI models locally and in the cloud with a single command. Ollama was founded in 2023. The company is led by Jeffrey Morgan. Based in Palo Alto, California, United States. Team size: 11-50. Total funding raised: $88M. Latest round: Series B. Key investors include Theory Ventures, Benchmark (Peter Fenton), 8VC, Y Combinator, Pace Capital, 49 Palms, GTMFund, Garage Capital.

Founded: 2023
Headquarters: Palo Alto, California, United States
Team size: 11-50
Total funding: $88M

Value proposition

The easiest way to run open-weight AI models locally and in the cloud — one command to download, run, and build with any open model, with seamless hybrid inference from desktop to datacenter.

Products and solutions

Ollama Desktop (local LLM runner for macOS, Windows, Linux), Ollama Cloud (neocloud inference service with GPU-time-based pricing, free to $100/mo tiers), Ollama CLI (command-line tool), Ollama REST API (OpenAI-compatible), Ollama Python/JavaScript libraries, Ollama Model Library (catalog of open models including GLM, Nemotron, DeepSeek, Kimi, MiniMax

Unique value

Ollama makes running open AI models as easy as running any other piece of software: no API keys, no expensive hardware required, complete privacy and ownership. Same CLI/API works for local 7B models and cloud 400B models with a single string change.

Target customer

Individual developers, AI engineers, startups, and enterprise teams (85% of Fortune 500) who want to build with open-weight AI models locally or in the cloud

Industries served

Technology, Government, Healthcare, Finance, Enterprise software, AI application development

Technology advantage

Built on llama.cpp backend; supports NVIDIA GPU acceleration, AMD ROCm, Apple Metal (MLX); Docker container support; 67,000+ community integrations; OpenAI-compatible API; hybrid local/cloud inference; MIT-licensed open source; GPU-time-based pricing (not per-token)

How they differentiate

Unlike competitors (Together AI, Fireworks AI, Groq) that are cloud-only per-token services, Ollama offers a unified local-first experience that seamlessly extends to cloud — same CLI, same API, same workflow. Unlike LM Studio or Jan (GUI-only), Ollama is a developer-centric runtime for scripting, servers, and app building. Unlike llama.cpp (low-level engine), Ollama provides a polished developer experience with one-command install and model management.

Main competitors

LM Studio, Together AI, Fireworks AI, Groq, llama.cpp, Jan AI, GPT4All

Key partnerships

Partnerships with open model providers for release-day access to new models (GLM, Nemotron, DeepSeek, Kimi, MiniMax), integrations with 67,000+ community projects including Open WebUI, AnythingLLM, Claude Code, OpenClaw, Codex, Copilot, Docker official image available on Docker Hub

Notable customers

Used by 85% of Fortune 500 companies including customers in government, healthcare, and finance (specific names not publicly disclosed)

Major milestones

2023: Founded and launched open-source Ollama project, Oct 2023: Official Docker image released, 2025: Series A ($15M) led by Benchmark's Peter Fenton, Jul 2026: Series B ($65M) led by Theory Ventures, reaching 8.9M monthly developers, 176K GitHub stars, 85% Fortune 500 penetration, cloud token volume doubling every month

Growth metrics

8.9M monthly active developers; 176K GitHub stars; 16.9K forks; 67,000+ integrations; 85% Fortune 500 penetration; 14 employees; cloud token volume doubling every month

Market positioning

Largest open model ecosystem platform — 8.9M monthly active developers, 176K GitHub stars, 16.9K forks, used by 85% of Fortune 500 companies. Leading the open-weight AI model adoption wave as enterprises seek alternatives to proprietary API-based models.

Geographic focus

Global (headquartered in Palo Alto, CA, USA; cloud models available in US, Europe, and Singapore regions)

Patents and IP

MIT License open-source; no publicly disclosed patents

About Jeffrey Morgan

Ex-Docker Senior Engineer/Product Manager (after Docker acquired his startup Kitematic); Ex-Founder of Infra and Infra App; Ex-Lightspeed Venture Partners; Ex-Twitter; Bachelor of Software Engineering from University of Waterloo

Latest news about Ollama

Ollama raises $65M Series B, now used by 8.9M monthly developers

More AI Developer Tools companies

Official website: https://ollama.com