Ollama
Ollama develops an open-source local inference platform that enables developers and organizations to run large language models on their own hardware, with a managed cloud subscription service monetizing higher-end workloads.
- Company typePrivate
- Founded2021
- HeadquartersToronto, Canada
- Headcount11–50
- GTM typeB2C
- OfferingSoftware
What Ollama does
Ollama is a software company that develops a local inference platform for running open-source large language models directly on user hardware. The core Ollama runtime (available on macOS, Windows, and Linux via direct download, Homebrew, npm, and Docker) manages model downloads from a centralized library, executes inference with automatic detection of NVIDIA (CUDA), AMD (ROCm), and Apple Silicon (MLX) hardware, and exposes a REST API at localhost:11434 with OpenAI-compatible and Anthropic-compatible endpoints. The platform supports hundreds of open-source models including GPT-OSS, Gemma 4, DeepSeek-R1, Qwen3, GLM-5, and the M2 series, with native tool calling, structured outputs, embeddings, vision, and web search capabilities. Founded in 2021 by co-founder Michael Chiang, headquartered in Toronto with a California-domiciled parent entity (Ollama Inc.), and backed by Y Combinator with a $125,000 seed in March 2021, Ollama remains privately held with a reported 1-10 employees.
Ollama operates a product-led growth model with a free open-source core and a paid cloud service. Ollama Cloud, launched in 2025, provides managed access to larger datacenter-grade models with parallel processing and real-time web information, priced at $20/month (Pro, 3 concurrent models, 50x free-tier usage) and $100/month (Max, 10 concurrent models, 5x Pro usage). Distribution is entirely self-serve: GitHub, Discord, blog content, meetups, and earned tech-media coverage drive a long-tail developer funnel, while 20+ official and community SDKs (Python, JavaScript/TypeScript, plus others) extend integration into coding agents (Claude Code, Codex, Cline, Goose), IDEs (VS Code, JetBrains, Xcode, Zed), workflow automation (n8n), and chat/RAG platforms (Onyx). The company serves individual developers, privacy-sensitive organizations requiring self-hosted AI, and AI application builders integrating local inference into custom workflows.
The most significant non-product strategic context is the security and governance footprint of the deployed base: roughly 300,000 internet-facing Ollama instances and 175,000 unique LLM hosts across 130 countries were observed by external researchers, including the disclosure of CVE-2026-7482 (Bleeding Llama) and two unpatched Windows-specific CVEs (CVE-2026-42248 and CVE-2026-42249). This combination of massive distribution, a small team, and unresolved security exposure is the central risk vector for an otherwise high-velocity developer platform.
Ollama firmographics
Firmographics- Name
- Ollama
- Legal name
- Ollama Inc.
- Website
- https://ollama.com
- Company type
- Private
- Founded year
- 2021
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Ollama develops an open-source local inference platform that enables developers and organizations to run large language models on their own hardware, with a managed cloud subscription service monetizing higher-end workloads.
- Ownership category
- akta.pro rank
Ollama industry classification
Industry- Product category
- AI Developer Tools
- NAICS
- Computer Systems Design and Related Services (5415), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Model Deployment, Serving & Inference Platforms (HDAAABAF)
- akta.pro secondary industries
- Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem) (HDAEANAC), Model Hosting, Serving & Inference Platforms (HDAAACAB)
Keywords
Where Ollama is headquartered
LocationHeadquarters
- HQ city
- Toronto
- HQ country
- Canada
- HQ region
- North America
Markets served
Ollama business model
Business model- GTM type
- B2C
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Operations, Marketing or Sales
Revenue model
- Ollama Cloud - Cloud Model Access: Cloud-hosted inference service providing access to larger, datacenter-grade models when local hardware is insufficient. Users run cloud models on Ollama's infrastructure with higher throughput and parallel processing capabilities. Free tier included with Ollama account; paid tiers for heavier usage.
- Ollama Pro Subscription: Pro tier at $20/month (or $200/year) offering 3 cloud models at a time with 50x more usage than free tier. Enables access to larger models with better performance for demanding workloads.
- Ollama Max Subscription: Max tier at $100/month offering 10 cloud models at a time with 5x more usage than Pro tier. Designed for most demanding professional workflows requiring maximum parallel processing.
- Open-Source Software (Free): Core Ollama software is open-source and free to download/use. Supports local inference with user's own hardware and open-source models at no cost. Revenue comes from cloud services, not the local runtime.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free Cloud Usage - Basic cloud model access |
| Subscription | Monthly | Pro - Enhanced cloud model access |
| Subscription | Monthly | Max - Maximum cloud model capacity |
Go-to-market motion2 records
Distribution channels5 records
Marketing channels5 records
Ollama product offering
Product offeringCore offering
Ollama builds an open-source local inference platform that lets developers download, manage, and run large language models directly on macOS, Windows, and Linux hardware, with automatic NVIDIA, AMD, and Apple Silicon GPU acceleration. A REST API and OpenAI/Anthropic-compatible interfaces expose the same models programmatically, while Ollama Cloud offers managed datacenter inference for larger models on a freemium subscription basis. Assistant modules such as OpenClaw and Hermes extend the runtime into messaging gateways and agentic workflows for individual developers and privacy-sensitive teams.
Product overview
Ollama is a unified product portfolio comprising a core open-source platform for running LLMs locally, cloud-hosted model services, and AI assistant integrations. The core Ollama platform (macOS, Windows, Linux) manages model downloading, inference, and API access locally, while Ollama Cloud extends capabilities with managed datacenter-scale hardware for larger models. OpenClaw, Hermes Agent, and Hermes Desktop are AI assistant modules that connect messaging platforms and coding agents to Ollama's model runtime. The platform offers official Python and JavaScript SDKs plus 20+ community libraries for integration. Pricing includes a free tier, Pro ($20/month) for 3 concurrent cloud models, and Max ($100/month) for 10 concurrent models.
Differentiator
Problem solved
Functional benefit
Products and services
- Ollama (Core Platform) Open-source desktop and server platform for downloading, managing, and running large language models locally on macOS, Windows, and Linux hardware, with automatic NVIDIA, AMD, and Apple Silicon GPU acceleration and a built-in REST API for programmatic access.
- Ollama Cloud
Quantifiable outcome
- Setup time under 5 minutes for most users vs hours for alternatives
- +2 more outcomes
Companies that use Ollama
Customer profileSegments3 records
Ideal customer profiles3 records
Ollama technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration28 records
AI capability11 records
Feature6 records
Ollama partnerships and signals
Strategic signalPartnerships
Nine partnerships are on record, tiered core.
- OpenAI (gpt-oss model partnership)coreOllama partnered with OpenAI to bring GPT-oss open-weight models (20B and 120B parameters) to the Ollama platform. These models feature agentic capabilities, function calling, web browsing, and full chain-of-thought reasoning. Available under Apache 2.0 license for local and cloud use.
- Google DeepMind (Gemma model support)coreOllama provides native support for Google's Gemma 4 open-weight models (E2B, E4B, 26B, 31B) designed for local execution on consumer hardware. Models achieved over 10 million downloads in first week and support reasoning, agentic workflows, and multimodal understanding.
- NVIDIA (GPU optimization)coreNVIDIA collaborated with Ollama for GPU optimization, including MXFP4 quantization format support for GPT-oss models and CUDA compatibility. Ollama supports NVIDIA GPUs natively with automatic detection for local inference acceleration.
- Apple (MLX framework integration)coreOllama 0.19 integrates Apple's MLX machine learning framework for Apple Silicon Macs, leveraging unified memory architecture and GPU Neural Accelerators. Delivers ~1.6x faster prompt processing and nearly 2x response generation speed.
- Alibaba (Qwen model support)coreOllama hosts Alibaba's Qwen3 series models including Qwen3.5 (up to 122B parameters) and Qwen3-Coder (30B and 480B variants) optimized for coding and agentic tasks with 256K context windows.
- Zhipu AI / Z.ai (GLM model support)coreOllama provides access to Z.ai's GLM models including GLM-5 (744B total parameters, 40B active) and GLM-5.1 for complex reasoning, coding, and agentic tasks. Licensed for commercial cloud usage.
- MiniMax (M2 model support)coreOllama's cloud is officially licensed with MiniMax for commercial usage of M2 series models (M2.1, M2.5, M2.7) optimized for coding and agentic workflows. Models offer competitive SWE-bench performance comparable to Claude Opus.
- Anthropic (Claude Code integration)coreOllama enables running Claude Code with locally hosted models via environment variable redirection (ANTHROPIC_BASE_URL), allowing free local use of the Claude Code agentic coding tool.
- VS Code / JetBrains / Xcode / Zed (IDE integrations)coreOllama integrates with major IDEs through official extensions and Continue.dev plugin, enabling inline code completion, AI chat, and agentic coding assistance within development environments.
Scale indicators4 records
Recent moves6 records
Expansion highlights5 records
Ollama competitors and assessment
Company assessmentDirect peers
- LM Studio: Desktop GUI for running local LLMs across macOS, Windows, and Linux. Most direct head-to-head competitor to Ollama's local-runtime model, targeting the same developer and prosumer audience with a more GUI-led experience.
- llama.cpp: Open-source C/C++ inference engine for LLMs on consumer hardware. Ollama is built on top of llama.cpp, and the two compete for the same technical audience running GGUF-quantized models locally.
- vLLM: High-throughput LLM serving engine widely used for production inference. Competes with Ollama's cloud/inference ambitions on throughput, batching, and developer ergonomics for serving open-weight models.
- GPT4All: Nomic AI's local LLM runner for desktops. Targets the same 'run LLMs locally' use case as Ollama with a focus on quantized open-weight models and offline chat.
- Jan: Open-source local-first ChatGPT alternative supporting Ollama-compatible model endpoints. Competes directly for desktop AI users who want local inference with a polished chat UX.
Emerging players
- Msty: Multi-provider local AI interface supporting Ollama and other backends. Overlaps with Ollama at the desktop client layer for users running models on their own hardware.
Broad incumbents
- Hugging Face: Broader ML platform hosting models, datasets, and Spaces. Many of the open-weight models Ollama distributes are hosted on Hugging Face, making it both an upstream supplier and a broader-portfolio competitor in inference tooling.
- Together AI: Cloud inference API serving open-weight models at scale. Directly competes with Ollama Cloud's Pro/Max tiers while also offering the dedicated capacity and SLAs enterprise customers expect.
- Replicate: Cloud API for running open-source ML models, including LLMs. Comparable business model to Ollama Cloud but with a much broader model catalog and developer-first API positioning.
- Anyscale: Ray-based AI compute platform offering managed inference and fine-tuning on open models. Competes with Ollama Cloud for production-scale open-weight model serving, especially in enterprise settings.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Ollama social profiles
Digital presenceOllama financial estimates
Financial estimateRevenue estimate
Valuation estimate
Ollama leadership team
Management profileNumber of profiles
Profiles1 record
Ollama funding detail
Funding detailFunding overview
Funding rounds3 records
Investors8 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Ollama M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Ollama
What does Ollama do?
Ollama builds an open-source local inference platform that lets developers download, manage, and run large language models directly on macOS, Windows, and Linux hardware, with automatic NVIDIA, AMD, and Apple Silicon GPU acceleration. A REST API and OpenAI/Anthropic-compatible interfaces expose the same models programmatically, while Ollama Cloud offers managed datacenter inference for larger models on a freemium subscription basis. Assistant modules such as OpenClaw and Hermes extend the runtime into messaging gateways and agentic workflows for individual developers and privacy-sensitive teams.
Is Ollama a public or private company?
Ollama is a private company. It is classified as venture growth investor backed and is currently operating.
When was Ollama founded?
Ollama was founded in 2021. It employs 11 to 50 people.
Where is Ollama based?
Ollama is headquartered in Toronto, Canada, in the North America region.
How does Ollama make money?
Four revenue lines are on record. Ollama Cloud - Cloud Model Access are the primary driver. The others are ollama Pro Subscription, ollama Max Subscription and open-Source Software (Free).
Who are Ollama's main competitors?
Direct peers on record are LM Studio, llama.cpp, vLLM, GPT4All and Jan. Msty is listed as an emerging player. Broad incumbents are Hugging Face, Together AI, Replicate and Anyscale.
Does Ollama have an API?
Yes. Ollama provides a REST API for running and interacting with LLMs programmatically. The API is available at http://localhost:11434/api for local installations and https://ollama.com/api for Ollama Cloud. It supports endpoints for generating responses, chat completions, embeddings, model management (list, show, create, copy, pull, push, delete), and version retrieval. The API is stable and backwards compatible with rare deprecations announced in release notes. Official SDKs are provided in Python and JavaScript/TypeScript, with 20+ community-maintained libraries available. Developer documentation is at docs.ollama.com/api/introduction.
What industry is Ollama in?
Ollama's product category is AI Developer Tools. Its primary akta.pro industry code is HDAAABAF, Model Deployment, Serving & Inference Platforms, with a secondary code of HDAEANAC, Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem). Its NAICS code is 5415 and its SIC code is 7372.