A shared studio for data
Keep your data on your laptop. Use your voice to clean tables, connect data, and build dashboards with AI on your computer. Share only the files, workflows, and results you choose.
Clean tables, connect data, sketch ideas, and build charts with AI running on your laptop. Keep working offline. Invite your team into a shared studio when you’re ready.
With the tools you already use
Use Codex, Cursor, or Claude to operate your cloud studio and desktop workflows through access you configure and authorize. Inspect the work, refine each step, and choose what to share.
Let your laptop do the data work. n0is’s C++ engine and local AI run on your computer, including offline.
You configure and authorize any agent access. Each assistant’s own connection and permission requirements still apply.
From your files to your answer
Clean data and build charts on your laptop. Work through each step yourself, or describe what you need in plain language.
Work with your own files on your laptop. Connect a database when you need one. You choose the data your tools work with.
Explore data toolsJoin tables, fix columns, and filter rows on your computer. Ask your AI assistant for help, then inspect or change each step.
Explore workflowsBuild charts and dashboards from the results. Keep them on your laptop, share with your studio, or publish a chart for others to see.
Explore dashboardsYour work belongs to you
Use AI on your laptop without handing your private work to a hosted AI service. You decide when to bring something online.
We don’t sell your files, prompts, or results.
We don’t use your content to train our models. AI learning you run on your own laptop remains your work.
Online security checks cover the n0is app and its bundled plugins. They don’t scan your documents, datasets, model files, or other running apps.
Signing in, sharing, and publishing use online services. Files and messages you share are stored online for the people or audience you choose. Connecting an external AI service is also your choice.
Illustrated example: work on your laptop, then bring the files, workflows, or results you choose into a shared studio.
Shared by choice
Bring selected files, workflows, and results into a shared studio. Choose who can join. Keep the rest of your desktop work separate.
Invite your team to a studio. Work on the files and workflows shared there, chat through the next step, and build a result together.
Try a shared studioBuilt for your computer
Describe what you need, then inspect and edit the workflows, charts, and diagrams n0is helps create. Local learning keeps feedback and reusable preferences on your laptop, so you can build on work you’ve already refined.
See performance measurementsRepeated synthetic tests, including multi-turn conversations
All runs in this saved dataset
Observed in the saved run summaries
Inside the recorded tests
Two ways of exercising the native engine. These percentages describe the test mix.
80,643 attempts
A local model interprets the request. C++ builds and executes the workflow.
19,913 attempts
Reference plans check native execution without live-model inference.
These are historical evaluation attempts across multiple software versions and sets of cases. Repeated requests and whole multi-turn episodes are included. Both test modes use C++ execution; supplied-plan checks do not measure natural-language understanding. The split describes tests, not production answers or current accuracy.
14,008 non-passing attempts remain included. Failures stay in the record, too. The authored catalog contains 1,536 requests across 404 scenarios and 67 families; 31 families appear in the recorded run summaries.
Start with what’s yours
Start with your data and AI on your computer. Work privately, then invite people to the parts you want to share.
