Full-stack app and agent delivery workspace
Reduce tool stitching and rework while keeping the code and runtime under the team's control.
Build your own version
Reduce tool stitching and rework while keeping the code and runtime under the team's control.
Reduce tool switching and handover work while keeping the generated codebase owned and deployable.
Run autonomous coding agents under isolation, oversight and auditability.
Reduce rework and review load while keeping developers in control of consequential code changes.
Run training and inference jobs on pooled GPU capacity through one owned portal.
Reduce context switching and manual tuning effort while keeping kernel changes reviewable.
Reduce tool sprawl and rework while keeping one reviewable record of every label.
Reduce tab switching and streamline tasks while keeping data in the browser.
Reduce tool sprawl and repeated context setup while keeping code review and release decisions with the team.
Run agent code in isolated cloud sandboxes and return the files and artifacts it produces.
Reduce unsafe agent actions and review effort while keeping the team's own workflow.
Reduce exposure to undetected synthetic media while keeping a reviewable record of each verdict.
Reduce manual design-to-code copying while keeping design files and code aligned.
Give agents and applications one owned API for search, scraping, crawling and structured extraction.
Reduce tool sprawl while keeping agent execution and data on the team's own machines.
Run AI models locally with no per-token charges and keep data on your own machines.
Generate working apps from plain-language descriptions while keeping projects and data on the user's own machine.
Reduce tool sprawl while keeping assistant data and workflows on the buyer's own machines.
Keep recordings, transcripts and notes on the device while producing reviewed meeting outputs.
Run AI models locally on your own device instead of in the cloud.
Reduce time spent reconstructing past work while keeping captured data on the user's own device.
Reduce the time spent re-reading and re-explaining long material while keeping a source-linked record of every answer.
Reduce infrastructure and maintenance work while keeping agent data and keys under the owner's control.
Reduce the time and coordination needed to run training and inference on specialized accelerators.