Private AI enablement
Private AI is a system, not a tool.
Calliope AI combines a governed development workbench, a portable runtime, and an agent control layer inside the environment you choose. Adopt one product for the problem in front of you, or run all three as one private AI stack.
Start with your constraint
Three products. One path from idea to controlled operation.
Each product has a clear job and can stand on its own. Together they cover the full enterprise AI lifecycle without forcing your team to assemble the seams.
Calliope AI Workbench
Give engineers, analysts, and AI builders one sanctioned workspace for IDEs, notebooks, chat, data tools, and agents.
Explore Workbench pricing →Astrolift AI
Build in CI, deploy, and operate AI workloads through one portable runtime contract. AWS is supported today; other backends are in progress.
Explore deployment →Zentinelle AI
Observe AI traffic, evaluate policy in real time, enforce decisions, and preserve the evidence your reviewers need.
Explore governance →One lifecycle
Development, runtime, telemetry, policy, and evidence share an architecture instead of becoming five integration projects.
See the operating model →Your boundary
Run Workbench and workloads in the environment you choose. Keep model traffic local when zero egress is required.
Review the trust model →Your model choices
Bring approved provider keys or run local models. Model requests go directly to the endpoints your organization approves.
See the data flow →An open-core path
Astrolift AI and Zentinelle AI have MIT-licensed cores, so the operating layer is inspectable and the exit is real.
See what is open →Engineers in the loop
Use self-service where it fits, or bring in Calliope AI engineers for deployment, integration, and security review.
Discuss your architecture →Calliope AI Workbench
A sanctioned place for technical teams to build.
The Workbench brings daily AI development activities under one identity and administration model. It is the commercial Build product in the Calliope AI stack.
AI-assisted engineering
Work with code, repositories, and reviewable agent changes in a browser-based IDE.
Explore AI IDE →Agent coding
Let agents plan and edit while keeping proposed changes visible to the human responsible for the result.
Explore agents →Repository context
Give approved models the context needed for useful completion, explanation, and refactoring.
Explore code assist →Data agents
Investigate and transform governed data through natural-language tasks and repeatable workflows.
Explore Deep Agent →Notebooks and analysis
Use Jupyter-based workflows for data science, machine learning, and exploratory analysis.
Explore AI Lab →Governed chat
Give teams a sanctioned interface to approved models without scattering credentials across consumer tools.
Explore Chat Studio →Notebook assistance
Generate, explain, and revise notebook work while keeping data access in the chosen environment.
Explore notebook AI →Isolated tools
Run browsers, terminals, and workspace applications inside controlled sessions.
Explore secure tools →Local entry point
Start with desktop tools on macOS, Windows, or Linux, then move team workflows into Workbench.
Explore desktop apps →Adopt each product independently
- License Calliope AI Workbench per seat for a sanctioned Build environment
- Self-host the MIT-licensed Astrolift AI or Zentinelle AI core
- Add support, implementation, or Forward-Deployed Engineering when you need an accountable operator
Compose the full BROCS lifecycle
- Build in Calliope AI Workbench and CI
- Run and observe the platform through Astrolift AI
- Observe, control, and secure AI behavior through Zentinelle AI
- Keep every stage inside one deliberate operating model
