Any team at your company can use AI agents. Now, with control.
Nexus is the governance layer that sits between your teams and AI models — with multiple providers, cost control, security guardrails, and full traceability on every execution.
Nexus
Sessions, identity, permissions, routing, cost accounting.
Maestro spawns isolated, ephemeral agent workers for each run.
Agents
Isolated workers, warm standby, results streamed over HTTP/SSE.
Model proxy
Model-agnostic routing across providers, on a single bill.
Skills · MCPs · Guardrails
Versioned in Git, deployed through CI.
Reduces cost
We route every task to the best-fit model — including self-hosted open source — never the priciest by default.
Centralizes knowledge and development
Skills, MCPs, and context stay centralized under company governance, shared across every team.
Increases AI deployment speed
Every employee has what they need from day one — no separate rollout per team.
Your company wants to use AI. The risk isn't the technology — it's how it gets adopted.
Without a shared standard, every team solves this on its own. And that costs more in other ways.
Fragmented adoption
Every team sources, configures, and connects its own agents — no standard, no central visibility.
Unpredictable cost
Model calls multiply across teams, and no one really knows how much is being spent on AI.
Uncontrolled data
Sensitive information flows through agents no one reviewed — with no clear rule on what can reach a model.
Zero traceability
When something goes wrong, there's no log explaining which agent, which model, and which data drove the decision.
The problem isn't using AI. It's using AI without a control layer in between.
- Each team picks its own agent or model
- Credentials and integrations spread with no standard
- Cost is discovered on the invoice, not before it
- No one knows exactly what each agent can access
- Every team accesses agents through the same central layer
- Guardrails and permissions apply to every agent
- Cost is capped and visible per team, in real time
- Every execution is logged and auditable afterwards
Nexus isn't one more agent. It's the layer that governs all of them.
A single entry point for every AI agent used across the company — with multiple models, connectors, and combinable skills, and access, cost, security, and history under control.
Centralizes
One single entry point for every agent, regardless of channel or team.
Controls cost
Spend limits and visibility per team, before cost becomes a surprise.
Applies guardrails
Security rules and sensitive-data checks validated before any execution.
Logs everything
Every action from every agent is recorded, with a full, searchable history.
Multiplies
Models, connectors, and skills stack up without locking you to a single vendor.
Scales
A new team, agent, or model — without rebuilding governance from scratch.
Your company shouldn't have to choose between speed and control.
Talk to Diodorus about Nexus and see how to put AI agents into production, across any team, without giving up security and traceability.
$ native governance · guardrails · full audit trail · no vendor lock-in
or write to contato@diodorus.io