What Jan does

Jan is a Singapore-based, privately held open-source AI company founded in 2023 that builds a cross-platform, local-first framework for running and orchestrating large language models on user hardware. Its core product, Jan Desktop, is a free application for macOS, Windows, and Linux that runs AI models entirely on-device via the llama.cpp and MLX inference engines, exposing an OpenAI-compatible local API server at localhost:1337 and supporting the Model Context Protocol (MCP) for tool integrations. The company also distributes Jan Web (browser-based chat), Jan CLI (terminal-based model serving and agent launching), and Jan Platform (an upcoming infrastructure layer for third-party AI products), alongside a proprietary family of Apache 2.0-licensed foundation models including Jan-Code-4B, Jan-v3-4B, Jan-v2-VL, Jan-v1, Jan-Nano, and Lucy.

The business model is currently entirely free and open-source with no disclosed pricing tiers, subscription, or API fees; revenue generation is not explicit and likely relies on future monetization through Jan Platform or premium features rather than direct consumer charges. Distribution is purely product-led and self-serve via the jan.ai website, GitHub releases, Flathub, Linux package managers, and a deep HuggingFace integration, with no sales organization or channel partners. Customer segments are horizontal and persona-based — privacy-conscious individual users, developers and AI enthusiasts, educators, legal professionals, and researchers — reached through community channels (43.2K GitHub stars, 15K+ Discord members, 5.9M+ cumulative downloads) rather than enterprise sales motion.

The company has an active release cadence (v0.4.3 in December 2023 through v0.8.3 in June 2026) covering local inference engine improvements, AMD ROCm and Apple Silicon MLX backends, multimodal support (image, video, audio), MCP extensibility, and agent integrations including a Claude Code backend and OpenClaw. Ownership and funding are not disclosed; the company operates as a private open-source initiative with no institutional investors or parent company mentioned in available materials.

Name

Jan

Legal name

Jan

Website

https://jan.ai

Company type

Private

Founded year

2023

Operating status

Operating

Headcount range

11–50 employees

Short description

Jan is a Singapore-based open-source AI company that builds a free, cross-platform, local-first framework for running large language models and AI agents on user hardware, serving privacy-conscious individuals, developers, and professionals through community-led distribution.

Ownership category

akta.pro rank

Product category

Open-Source Local AI Platform

NAICS

Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Model Hosting, Serving & Inference Platforms (HDAAACAB)

akta.pro secondary industry

Prompt Engineering, Orchestration & LLMOps Tooling (HDAAACAD)

Keywords

• Local AI assistant
• Open-source AI platform
• LLM inference engine
• Offline AI deployment
• Private AI framework

Headquarters

HQ city

Singapore

HQ country

Singapore

HQ region

Asia

Markets served

GTM type

B2C

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

1. Open Source / Community: Jan is free and open-source under Apache 2.0 license. Revenue generation is not explicit in the sources - likely relies on grants, donations, or future premium features.

Pricing tiers

Go-to-market motion2 records

Distribution channels5 records

Marketing channels7 records

Core offering

Jan builds an open-source, cross-platform AI platform that lets users run large language models entirely on their own hardware. Its primary deliverable is the Jan Desktop application for macOS, Windows, and Linux, which combines a local inference engine (built on llama.cpp and MLX) with a chat interface, project organization, custom assistants, an OpenAI-compatible local API server, and Model Context Protocol integration. The company also releases proprietary Jan foundation models and a browser-based client (Jan Web) plus terminal interface (Jan CLI) to extend the same local-first AI experience beyond the desktop.

Product overview

Jan is an open-source AI platform offering multiple interconnected products for local AI inference. The core offering is Jan Desktop, a cross-platform application (macOS, Windows, Linux) with full offline support. Complementary products include Jan Web (browser-based chat interface), Jan Server (built-in OpenAI-compatible local API), and Jan CLI (command-line interface for terminal-based usage). Jan Platform is an upcoming infrastructure layer for building AI products. The platform supports a family of proprietary foundation models including Jan-Code-4B (code generation), Jan-v3-4B (general-purpose), Jan-v1 (reasoning), Jan-v2-VL (vision-language), Jan-Nano-128k (deep research with 128k context), Jan-Nano-32k (research), and Lucy (web search). All Jan models are Apache 2.0 licensed and available on Hugging Face. The platform also integrates with Claude Code and OpenClaw for coding agents, and supports Model Context Protocol (MCP) servers for extensibility.

Differentiator

Problem solved

Functional benefit

Brands

• Jan Desktop: Desktop application for Mac, Windows, and Linux with full offline support
• Jan Web
• Jan Server
• Jan CLI
• Jan Platform
• Jan Hub
• OpenClaw

Products and services

• Jan Desktop Cross-platform desktop application (macOS, Windows, Linux) that runs local AI models with full offline support. Includes a chat interface, Projects for organizing AI work, custom Assistants, agent integration, MCP support, and a built-in local API server.
• Jan Web Browser-based chat client that provides web access to Jan's AI capabilities without requiring a desktop installation.
• Jan Server (Local API Server) Built-in, OpenAI-compatible API server that runs entirely on the user's computer, powered by llama.cpp. Exposes endpoints at http://127.0.0.1:1337 for models, chat completions, and Anthropic-compatible messages, with support for streaming, tool calling, and multi-turn conversations.
• Jan CLI Command-line interface for serving local AI models and launching autonomous agents from a terminal, with commands such as 'jan serve' for model serving, 'jan launch' for agent wiring, 'jan models' for model management, and 'jan threads' for conversation inspection.
• Jan-Code-4B Lightweight 4B parameter code-tuned AI model optimized for code generation, editing, refactoring, and debugging, available on HuggingFace in Q4_K_M, Q5_K_M, and Q8_0 GGUF quantizations under Apache 2.0.
• Jan-v3-4B Compact 4B parameter general-purpose instruction-following model with a native 262k token context window, 36 layers, and a GQA architecture. Serves as the base model for Jan-Code-4B and is intended for further fine-tuning.
• Jan-v1 4B parameter reasoning and problem-solving model based on Qwen3-4B-thinking, optimized for question answering, reasoning tasks, tool calling, and instruction following. Achieves 91.1% accuracy on SimpleQA benchmark.
• Jan-v2-VL 8B vision-language model built on Qwen3-VL-8B-Thinking for long-horizon multi-step agentic tasks. Supports UI automation through screenshot grounding and executes up to 49-step automation chains in a single turn.
• Jan-Nano-128k Compact Jan language model with a native 128k token context window for deep research. Architecturally rewired for 128k contexts (not extended via PI/YaRN) and delivers 15% improvement over Jan-Nano-32k on complex multi-document tasks.
• Jan-Nano-32k Compact 4B language model designed for deep research tasks and optimized for MCP integration. Requires web search via MCP for full capabilities. Minimum 8GB RAM (iQ4_XS) or 12GB VRAM (Q8).
• Lucy 1.7B parameter model built on Qwen3-1.7B, optimized for web search through tool calling. Achieves competitive SimpleQA performance at small size by integrating effectively with search APIs like Serper.

Quantifiable outcome

• Over 5.9 million downloads
• +3 more outcomes

Segments5 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration6 records

AI capability13 records

Feature11 records

Partnerships

Six partnerships are on record, tiered core and minor.

• HuggingFacecoreTechnology or IntegrationDeep integration with HuggingFace for model hosting and distribution. Jan Hub connects directly to HuggingFace Model Hub. Users can search, download, and use any GGUF model from HuggingFace. Jan also hosts its foundation models on HuggingFace (123 models available). 'Use this model' direct integration allows opening any HuggingFace model in Jan.
• llama.cpp / ggml-orgcoreTechnology or IntegrationCore technology dependency - llama.cpp powers local LLM inference. Originally created by Georgi Gerganov, now maintained by ggml-org community. Enables efficient inference on CPU and GPU without specialized AI accelerators.
• Anthropic (Claude Code)coreTechnology or IntegrationJan serves as local AI backend for Claude Code. Users can replace Claude's cloud models with local Jan models for fully private coding workflows. Supports Opus, Sonnet, and Haiku tier replacements.
• Model Context Protocol (MCP)coreTechnology or IntegrationJan is an MCP host supporting Model Context Protocol - an open standard for language models to interact with external tools. Enables connection to various MCP servers for web search, browser control, code execution, databases, and more.
• r/LocalLLaMA CommunityminorOthersAcknowledged in documentation for 'ideas, feedback, and debate' - significant community influence on product direction.
• mlx-swift-lmcoreTechnology or IntegrationJan integrates MLX via mlx-swift-lm for Apple Silicon inference, running a local inference server with Metal GPU acceleration on macOS.

Scale indicators6 records

Recent moves5 records

Expansion highlights6 records

Direct peers

• LM Studio: Desktop application for running local LLMs across Mac, Windows, and Linux. Most direct competitor to Jan: same target user (developers, privacy-conscious individuals), same local-inference value proposition, similar product-led open model. Differentiates more toward power users.
• Ollama: Open-source local LLM runtime and model library used by developers to serve models via a CLI and local API. Direct competitor to Jan's backend (Jan runs on llama.cpp just like Ollama) and competes for the same developer audience.
• Open WebUI: Open-source web-based chat interface for local LLMs, originally built on top of Ollama. Competes with Jan Web for users wanting a ChatGPT-style local UI; similar self-host and privacy positioning.
• GPT4All: Nomic AI's open-source desktop application for running local LLMs and embedding models. Direct competitor targeting privacy-conscious individual users and developers, comparable cross-platform desktop experience.
• AnythingLLM: Open-source desktop and Docker-based application for chatting with local documents and models, including built-in RAG. Comparable to Jan's Projects feature and the same developer/privacy-focused target buyer.
• PrivateGPT: Open-source project for ingesting private documents and querying them entirely offline using local LLMs. Direct competitor for the privacy-first local-AI niche Jan targets, though less of a polished consumer product.
• LibreChat: Open-source ChatGPT-compatible chat UI supporting multiple model providers including local endpoints. Overlaps Jan Web and Jan Desktop for users wanting a multi-provider, self-hosted AI interface.

Broad incumbents

• Hugging Face: Broad platform for hosting models, datasets, and Spaces, including the GGUF hub Jan deeply integrates with. Not a direct chat-product competitor but a key ecosystem incumbent Jan depends on for distribution and model supply.
• Perplexity: Consumer AI answer engine with web search and deep research features. Comparable to Jan's 'Perplexity Pro but local' positioning (Lucy/Jan-Nano with Serper MCP), but cloud-hosted and much larger scale.

Others

• Cursor: AI-native code editor that can run Claude Code locally using Jan as a backend. Not a direct competitor — Jan is an infrastructure-layer choice inside Cursor-adjacent workflows — but the closest commercial example of Jan's developer-tool integration thesis.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• Xx.com/janframework
• GitHubgithub.com/janhq/jan
• LinkedInlinkedin.com/company/opensuperintelligence

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Jan