Everything you need to run enterprise AI agents. All in one platform.
Design solutions with Solution Designer, build agents and workflows, connect the systems you already run, and govern every execution under one flat licence, on your infrastructure.
Build
- Design
Solution Designer
Describe the process. Lunnoa plans the solution, then builds it.
Read the overview - Orchestration
Workflow Builder
Design and run processes your teams can trust
Read the overview - Intelligence
AI Agents
Model-backed workers with clear boundaries and controls
Read the overview - Connectivity
Integrations
Hook into the systems you already run
Read the overview
Operate & govern
Designed to deliver tangible outcomes
Lunnoa is the AI agent platform enterprises deploy on their own stack: agents, workflows, integrations, observability, and governance in one system.
- Clarity over clutter: one control plane for agents and workflows
- People before features: human-in-the-loop where judgement matters
- Security as standard: self-hosted, policy-bound, audit-ready
Enterprise AI agent platform, defined
What is an enterprise AI agent platform?
The short version: a place to build, run, and govern AI agents on infrastructure you control, with the access and audit controls your security team already expects. Here is how that breaks down.
An AI agent platform is the software layer that lets a team build, run, and govern AI agents and workflows across production systems, connecting them to the business systems they already use, with observability and access controls built in from the start. Enterprise deployments add identity, audit, and data residency requirements on top of that same foundation.
An enterprise AI agent platform is the software layer that lets an organization build, run, and govern AI agents and workflows across production systems, with the identity, access, and audit controls IT and security teams already require. It typically includes an agent builder, a workflow engine, integrations into core business systems, observability for every run, and a governance layer for access and data.
Lunnoa runs entirely inside your own infrastructure instead of a shared cloud tenant. Agents, workflows, and data stay on servers you control, which matters for regulated industries with data residency or confidentiality requirements. Access is governed the same way you already govern the rest of your IT stack, through SSO, SCIM, and RBAC.
Yes. Lunnoa is built to be self-hosted from day one: the agent builder, workflow runtime, integrations, and observability all run on your own infrastructure under a single flat licence, with no per-seat or per-execution metering.
The core requirements are the same as for any production system: role-based access control, an audit trail for every agent action, clear boundaries on which tools an agent can call, and a deployment model that fits your existing security review process. Self-hosting removes an entire category of data-residency and vendor-access questions before the review even starts.
Für Teams, die Infrastruktur bereits ernst nehmen.
- CTOs und Platform-Teams, die die Passung zur eigenen Referenzarchitektur prüfen
- Security und Compliance mit Fokus auf Datenresidenz und Zugriffskontrolle
- Operations-Teams, die nachvollziehbare Läufe brauchen, keine Black-Box-Automatisierung
- Builder, die unbegrenzte Nutzung unter einer Pauschallizenz wollen