Unlike general coding assistants, it understands your dataset, reasons about your experiments, and proposes new ideas to explore.
Jovyan understands your data and research hypotheses. It can propose ideas, design experiments, analyze results, and iterate accordingly.

Jovyan works seamlessly with Jupyter Notebook. It creates code cells, runs them, and reads the outputs to inform its next steps. No more copy-pasting code between your IDE and notebook.

Jovyan automatically documents your experiments, results, and insights in a structured format that you can review and share. It can even propose new ideas based on that.




To iterate 10x faster — a breakthrough idea might be one experiment away.
From days to hours — implement faster than ever before.
Jovyan handles boring-but-important tasks such as experiment logging, parameter tuning, result visualization, etc.
New data scientists can be more productive in minutes.
Consistent best practices across projects.
“Jovyan AI is an essential partner that helps me in my data science projects. What amazed me most is its “process of thinking”. You put your task and what you want to build, it start to work, generate the code, then run it, read the output, and according to the output it rethink and continue to generate the next code.”
“Jovyan AI integrates seamlessly into the notebook-based workflow. It understands code cells, plots, and execution context, making its suggestions highly relevant to real analytical tasks.”
“What I appreciate most is how it lets me stay in a high-level reasoning mode. Before, I'd be thinking about which algorithm or visualization to use, only to interrupt myself with 'wait, how do I do that in NumPy or Matplotlib again?' Now Jovyan handles the implementation while I stay focused on the ideas.”
Simple monthly plans with weekly usage that resets automatically.
Insights on data science, AI agents, and building better workflows.