Jan's Goal
to build a superintelligence that you can self-host and use locally on your own devices.
We know it’s hard but we believe this will be possible in the next decade through a combination of models, applications and tools. For this we are…
building Jan as the ecosystem that ties all of these seamlessly so that users, regardless of their technical background, add intelligence to their day-to-day lives like they would, but better, with similar tools.
Core Principles
1) Build the Full Stack
Models alone aren’t enough. Neither are applications. Superintelligence requires models that understand your needs, tools that extend capabilities, and applications that tie it all together. We’re building all three, openly.
2) You Choose Who Runs It
Run Jan on your laptop. Self-host it on your servers. Use our cloud. The same superintelligence works everywhere. Your data, your compute, your choice.
3) Start Simple, Scale Infinitely
Open Jan and start chatting. No setup required. When you need more - better models, advanced tools, team deployment - everything’s there. The complexity scales with your ambition, not our architecture.
The Path to Superintelligence
Today we have the Foundation
- A desktop app that works both with local and cloud-based models
- Jan models small enough to run on any laptop and powerful enough to scale on any server
- Basic tools enabled through MCP Search, file parsing, simple workflows
Next 12 Months: Ecosystem
- The Jan v1 models are a specialized series of models with general capabilities but optimsed for specific tasks like search, analysis, creative writing and more
- The Jan server works as a self-hosted AI infrastructure for teams
- Advanced tools like browser use, deep research, and long-term memory works across devices, excels across different day-to-day use cases, and scales with the needs of large teams
- Cross-device sync allows you to take your AI everywhere
End State: Open Superintelligence
Not one massive model, but an ecosystem of specialized models, tools, and applications working together. Built in public. Owned by whoever runs it.
Why This Matters: The Status Quo
Every other AI company wants to be your AI provider. We want you to own your AI.
- OpenAI/Anthropic: Their models, their servers, their rules
- Open Source Models: Powerful but fragmented - no cohesive experience
- Jan: Complete ecosystem you can own, modify, and deploy however you want
Watch Us Build
Live Model Training
We train our models in public. Check the models page to see:
- Real-time training progress
- Failed runs and what went wrong
- Models in testing before release
No “trust us, it’s good.” Watch the entire process from dataset to deployment.
Help Evaluate Our Models
Every model needs real-world testing. Join our open evaluation platform where you can:
- Compare model outputs side-by-side
- Test specific capabilities you care about
- Vote on which responses actually help
- Suggest improvements based on your use cases
Think LMArena, but you can see all the data, run your own evals, and directly influence what we train next.
Our Models Training Right Now
We don’t just talk about open development. Here’s what’s actually happening:
| Model | Progress | Status | Details |
|---|---|---|---|
| Jan-Search-7B | ████████░░ 82% | Testing | View run • 2.1M steps • ETA 3 days |
| Jan-Write-13B | ████░░░░░░ 41% | Training | View run • 980K steps • On track |
| Jan-Analyze-13B | ████████░░ | Failed | View logs • OOM at step 1.5M • Restarting |
These are our actual models training on our hardware in our Singapore office. Click any run to see:
- Live loss curves
- Training datasets
- Evaluation metrics
- Even our failures
Get Involved
We build in public. Everything from our model training to our product roadmap is open.