Test trading strategies in seconds, not hours.
WHY ORION
Close the context gap.
Get you and your coding agent on the same page.
Close the context gap
Research is exploratory and stateful - what matters is often in runtime state, not just the script. General coding agents work text-in, text-out, so they cannot see execution state and land in a context gap: wrong columns, guessed names, or code that looks fine but doesn't match the actual data.
- Orion pulls context from live cells, outputs, and tracebacks - so edits and explanations match cell state
- Goes past getting a cell to run - it reasons over the outputs to see if they align with your data and intent
- Reasons over notebook structure, cell dependencies and run order - so suggestions respect how your cells actually executed
Zero setup, 100% familiar
Orion connects from your browser directly into your local Jupyter env, and you're ready to go. Your notebooks, kernels and environment stay the way they are - no need to redo env setup, no file uploads to the cloud, no cumbersome integration steps.
- Runs in the browser, no install required
- Points at your local Jupyter
- Same notebook workflow you already know, augmented by AI
Leading AI models
Use models from providers you trust, or run local models on your computer or private cloud. Choose the setup that fits your workflow and privacy needs.
- Connect to frontier models from the providers you already use
- Swap models as your task changes - without breaking your notebook flow
- Prefer local inference? Point Orion at LM Studio or Ollama as an alternative
Data-aware at any scale
Orion is designed for scalability. Whether you're working with a small csv file or a large database, Orion can handle it.
Your data stays yours
We never use your notebooks, data, or code to train or improve our product.