Headquarters
San Francisco, CAFounded
2023CEO / Founder
Jeffrey MorganEmployees
1-10Funding
Series BProducts
1 product listedAvg. AI Score
8.3/10Website
ollama.com/Profile updated
Ollama is a software tool founded in 2023 and headquartered in San Francisco, California, that enables developers and individuals to download and run open-source large language models directly on their local machines. The company was co-founded by Michael Chiang and Jeffrey Morgan with the goal of making local LLM inference accessible without requiring cloud infrastructure or sending data to third-party servers.
Ollama's primary product is an open-source command-line tool and API server that supports a wide range of models including Meta's Llama series, Mistral, Gemma, and others. Users can pull models from Ollama's model library and run inference locally via a REST API that mirrors the OpenAI API format, making it compatible with many existing tools and integrations. The platform is widely used by developers building local AI applications, researchers, and privacy-conscious users who prefer to keep data on-premises.
Ollama's GitHub repository has accumulated a substantial number of stars, reflecting broad adoption in the open-source developer community. The company operates with a small team and has raised early-stage funding, though specific funding amounts have not been publicly disclosed. The project is distributed as open-source software under a permissive license.
Dated, source-cited figures. Estimates are marked.
All products by Ollama reviewed by our AI panel of experts.
Who Ollama competes with, and how they differ.
Provides a GUI-based desktop app for running local LLMs with a chat interface, whereas Ollama focuses on a lightweight CLI and API-first approach for developers.
1 product reviewed on TopReviewedOffers a broader model hub, hosted inference, and training tools rather than a dedicated local-runtime product, with Ollama being narrower but simpler for local deployment.
1 product reviewed on TopReviewedRuns open-source models on hosted cloud infrastructure with usage-based pricing, competing for the same open-model users who might otherwise run models locally via Ollama.
1 product reviewed on TopReviewedDelivers optimized cloud-hosted inference for open-source models with enterprise SLAs, contrasting with Ollama's local, offline-first hardware-based approach.
1 product reviewed on TopReviewedA comparable open-source project for running LLMs locally with a focus on consumer-grade hardware and a built-in desktop chat client.
The underlying inference engine many local LLM tools (including Ollama) build on, distributed as a raw library/CLI for developers wanting lower-level control without Ollama's packaging and model management layer.
Browse multi-perspective AI panel reviews across hundreds of AI tools, agents, and platforms. Find the right software with insights from CTO, Developer, Marketer, Finance, and User perspectives.