Control plane
One place to run, observe, and govern every agent and automation in the business.
One coordinating layer — agents, automations, and a retrieval layer composed into a system your business actually runs on, instead of a drawer of disconnected scripts.
AI shows up in most companies as scattered point solutions: a chatbot here, a Zap there, a script someone wrote and left. Each works alone; none share context, oversight, or a place to see what happened.
The result is fragility and blind spots — automation no one fully understands and cannot safely extend.
We design an AI operating system: a shared context layer, a retrieval layer over your knowledge, and a set of agents and automations coordinated through one control plane with a common audit trail.
New capabilities plug into the same foundation instead of bolting on — so the system compounds in value rather than complexity.
One place to run, observe, and govern every agent and automation in the business.
A common knowledge and state layer so components reason from the same source of truth.
Agents, automations, and RAG built as modules on one foundation, not silos.
Roles, approvals, and end-to-end logs so autonomy stays accountable.
The coordinating layer that ties your agents, automations, and retrieval into one system the business runs on, rather than a drawer of disconnected scripts — giving every automated action a shared context, audit trail, and place for human oversight.
Point tools are fine to start, but they fragment context and oversight as they multiply. An AI operating system gives them a shared foundation, so capability compounds instead of complexity.
Usually, yes. We connect existing automations and tools into the control plane and shared context layer rather than rebuilding from scratch.
Role-based access, approval gates for high-stakes actions, confidence thresholds, and complete audit logs — autonomy with accountability designed in.