AI Workspaces | Anaconda

Trusted building blocks and AI agents, in the tools you already use.
Before the real work starts, there’s the other work: the setup you rebuild for each new project.
Hunt for packages. Pick a model. Configure the environment. Wait on access. Then begin the work you came to do.
The hours go into rebuilding the foundation — not into the idea that started the project.
You shouldn’t have to choose between shipping fast and staying inside policy — or sit in a review queue to find out which one wins.
Both are reasonable. Most tools still make you pick one. We have over a decade of building for both with 55M+ Anaconda users and adoption across 95% of the Fortune 500.
Start from what’s already vetted, build in the tools you already use, and keep your agents inside policy — without giving up your model, cloud, or tooling choices.
Development is getting more agentic. Kilo brings AI-powered coding right into your workspace, next to the packages, models, and tools you already use.
Tell us what you’re building and we’ll show you AI Workspaces working on it.
We reach out within one business day to learn what you need and where your current setup is costing you time.
The builder feels it first. Platform, security, and the business feel it next.
Spend your time building, not assembling a foundation for each new project. The idea that excited you is the one that gets your hours.
Innovation without a new stack to run. Control without becoming the gate. You see what’s entering AI development without another manual review.
More ideas get out of experimentation and into production — because the foundation stopped being the thing slowing them down.
Start with ready building blocks
Discover models in one place
Configure environments
Start in ready environments
Manually recreate environments for production
Move from local to prod, reproducibly
Navigate disconnected tools
Work from a consistent foundation
Code everything manually
Build alongside AI agents
Add controls afterward
Build on an enterprise-ready trusted foundation
Complete the form, and we’ll reach out within 1 business day to discuss your requirements. Then, we’ll build a demo that addresses your real challenges.
Yes. No new execution model, no forced migration. Keep VS Code, JetBrains, JupyterLab, PyCharm, or Spyder. Point your IDE at the Python interpreter inside your conda environment, and your packages and dependencies follow. Kilo Desktop launches your IDE and manages environments without touching the command line, or use CLI when you need it. Quick-Start Environments resolve setup conflicts in one step so you get to work faster.
Not the way it probably does now. You don’t file a request with the security team and wait to find out what you’re allowed to use — the packages you can reach have already passed policy. Your administrators set that policy once: a channel filtered by CVE score, CVE status, license type, platform architecture, and package name. It re-runs on each update, so no one reviews it by hand each time you need a new package or model, and any vulnerable packages are updated automatically. Available on Business or Custom plans.
No. AI Workspaces works across open and closed models, the clouds and data platforms you’ve already chosen, and the IDEs and tools your team already uses. Auto-route models to control spend without losing the ability to change them later. The foundation stays consistent; the choices stay yours.
The people doing the building — developers, data scientists, and AI practitioners who’d rather start on trusted ground than build it themselves. It also serves the platform teams who own that ground and get one governed source instead of another stack to run. And the security teams, who get a secure AI supply chain with SBOMs and CVE tracking to see what’s entering AI development and block when needed without chasing anyone down.
An SBOM (Software Bill of Materials) lists every package and dependency in your software supply chain — the same standard used across the software industry. An AI-BOM extends that same idea to AI-specific artifacts: models, datasets, and their versions, licenses, and provenance. AI Workspaces generates both automatically, so you get one auditable record of everything running — code, models, and data alike.
Building is only the beginning. Leverage AI workspaces across the Anaconda Platform.
Autonomous red teaming and production guardrails to protect at runtime.
Get more AI ideas out of experimentation and into production, faster.
Start from trusted open-source building blocks, secured and governed for enterprise use.
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