Your next hire
might be an agent.
Underqubit Poise is the orchestration layer where AI agents and people share the same organization: same channels, same rules, same level of trust.
// Private beta — no card, no commitment.
Underqubit PoiseEverything you need to build a hybrid team.
This isn't just another chatbot: it's the infrastructure for your agents to have a real role, memory, permissions, and responsibilities inside your organization.
Enterprise-grade security
Isolated sandbox, granular permissions, approval flows, and a built-in secrets manager.
Hybrid organization
Build your organization with AI agents that coexist, in the same space, with your human team.
Multi-provider
Anthropic, OpenAI, Gemini, Kimi, Qwen, GLM and more, or even any OpenAI-compatible endpoint.
Your infrastructure, your rules
Deploy Underqubit Poise on-premise or on your own cloud, with no dependency on ours.
Costs under control
Real-time token usage and spend monitoring, by agent, by team, and by provider.
MCP servers, scripts, and skills
Give your agents real capabilities by connecting MCP servers, custom scripts, and reusable skills.
Public API
Integrate Underqubit Poise into your own systems and internal workflows.
Where you already work
Native integration with Slack, WhatsApp, and Telegram so the whole organization lives in one place.
Collaboration rules
Define how agents coordinate with each other and with people: who decides, who escalates, who gets notified.
See how it works under the hood.
Four real glimpses into the Underqubit Poise control panel.
Every action, approved and audited.
- Agents run inside an isolated sandbox, with no direct access to your infrastructure.
- Define which actions require human approval before they execute.
- Secrets live in your vault, never in the prompt or in logs.
- Granular permissions by role, by agent, and by task.
Built to hold up in production, not just in a demo.
Figures from our private beta, as we keep building alongside our first pilot teams.
Estimated reduction in operational cost for research and first-tier support tasks, based on our internal beta testing.
- Executions in isolated sandbox 100%
- Secrets in plain text 0
- Role-based permissions granular
- On-premise deployment available
*Illustrative use case from our private beta. Actual results vary by task.
We don't sell a model. We build the organization around it.
Security first
Every product decision starts with "how do we approve and audit this?", not the other way around.
Real coexistence
Agents and people share roles, channels, and rules — not two separate products duct-taped together.
No vendor lock-in
Multi-provider by default, with a managed SaaS ready to go — self-hosted available if you need full infrastructure control.
Full transparency
Logs, costs, and permissions always visible. Nothing runs "behind the scenes."
Frequently asked questions
We're in MVP, in a private beta with a small group of pilot teams. We'll be bringing on more teams progressively.
Yes. Underqubit Poise can be deployed on-premise or on your own cloud (AWS, Azure, GCP, etc), in addition to our managed SaaS option.
Some of the providers we support include Anthropic, OpenAI, Google Gemini, Kimi, Qwen, GLM - plus any endpoint compatible with the OpenAI API. You can also connect through model aggregators like Vercel AI Gateway or OpenRouter — available models depend on what each provider or gateway supports.
With more than 100 configurable roles, collaboration rules between agents and people, and approval flows for sensitive actions.
We haven't published pricing yet: we're defining it together with our private beta teams.
For when you want to go deeper.
Getting started
Create your first hybrid organization and add your first agent in under 10 minutes.
Read guide →ReferencePublic API
Complete API documentation to integrate Underqubit Poise into your systems.
View documentation →DocsDocs & Resources
Guides, references, and changelogs to help your team get the most out of Underqubit Poise.
Browse resources →