Your team wants AI. Your data can't leave.
We make private AI real — secure, governed, in your own cloud.
The problem
Your team wants to build with AI. Your data can't leave, your security team can't see what's running, and standing it up yourself takes months. So AI either stalls or sprawls.
Both ways out are expensive. Stall, and you fall behind. Sprawl, and the next incident is yours to explain.
Environment config, model integrations, secrets — from scratch each new initiative.
Standing up an AI environment takes weeks before a line of AI code gets written.
Who launched what, who accessed which environment, what's running — nobody knows until something breaks.
Unapproved tools spreading, each with a different security posture and its own credentials.
The solution
Calliope AI brings AI to your data, not your data to the AI. Your team puts it to work on the proprietary code, data, and knowledge that actually set you apart — without any of it leaving your perimeter.
Calliope AI gives every team a complete, isolated AI environment — purpose-built by us, plus curated open-source add-ons.
Inside the Workbench
AI Lab — JupyterLab with an AI copilot. Ask in plain English, get the query, get the chart — over data that never leaves your cloud.
AI IDE & Agents — five modes, 12+ model providers, background agents that plan and execute — every edit staged for human review.
Governance (Zentinelle) — observability, real-time policy enforcement, compliance mapping. Catch violations before they become incidents.
Nothing leaves your VPC.
Built to port — switch models or deployment targets without retraining your team or rewriting a line. Runs on AWS today; more backends on the roadmap. No vendor lock-in.
Not a toolchain to assemble and reconcile.
Models, tools, budgets, rate limits — all under policy.
Not 18-month build cycles.
The run layer puts the whole stack in your account — runs on AWS today, built to port. BYOC and VPC peering, with more backends on the roadmap.
Explore deployment →
The governance layer — observability and real-time policy enforcement. 24 policy controls mapped to SOC 2, HIPAA & the EU AI Act, with every agent action audited.
See governance →
Secure wraps all of it — private deployment and real-time enforcement, in your cloud or colo, inside your perimeter, under your security controls.
Use cases
Build it once, on infrastructure you own.
Autonomous agents that plan and execute, inside your perimeter.
Ask in plain English over data that never leaves your cloud.
Internal assistants with policy and audit built in.
Wire workflows across the stack, all logged.
Free download
The guide we use with enterprise teams: the BROCS reference architecture (Workbench + Astrolift + Zentinelle) for self-hosting AI in your VPC, a security & GRC checklist, and the path from zero to governed production.
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Stop choosing between moving fast and staying in control.
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