Agents that work inside the systems you already run.
Fidel Labs enables businesses to build, connect, orchestrate and deploy AI agents across their existing tools — with control over what each agent can reach, and what it is allowed to say.
Most agent stacks let a model decide everything. Fidel Labs decides what must be deterministic.
Standard tool-calling spends unpredictable reasoning on something a system can decide cheaply and repeatably: which tool answers this request. Fidel Labs makes that step deterministic, keeps every agent inside a defined boundary, and reserves generative models for where language actually helps.
From an existing system to a published agent.
Each layer narrows what the next one can do. That is what makes the result controllable.
Connect your systems
Register MCP servers once — local sockets, subprocess daemons, or authenticated external endpoints — in a shared registry. Fidel Labs speaks the Model Context Protocol, over standard JSON-RPC 2.0.
Expose controlled tools
Each tool a system offers can be verified and given a defined response. Only tools that are ready are routable — nothing half-configured reaches an agent.
Build a specialised agent
Compose an agent without code: choose the subset of tools it may use, write its system prompt, fix known values, and attach knowledge sources where the agent needs to answer from documents.
Orchestrate behaviour
Choose per agent how it routes and how it replies. Route by embeddings, with no language model in the loop, or hand routing to a model you configure. Reply from templates, or let a model phrase already-retrieved results.
Publish for users
Release an agent behind its own token-gated chat link, scoped to the tools it was given — and no others.
Route first. Reason only where it helps.
Semantic embeddings work out what a request means before any generative model is engaged. Routing happens inside the agent's scope, so a request either maps to a tool the agent owns — or it doesn't.
Deterministic routing
Intent is computed as an embedding and matched against the agent's tools. Same request, same tool.
Scoped by construction
The tool set is the boundary. An agent can't call something it wasn't given.
Controlled fallback
Below a confidence threshold the agent declines, rather than inventing an answer.
Build with Fidel Labs. Integrate it into your existing systems.
Fidel Labs is the AI platform behind FidelonX — and it doesn't depend on any FidelonX product. Use it on its own, in front of the systems your business already runs.
Where FidelonX builds vertical solutions such as SiteQura, Fidel Labs is the intelligence layer designed to sit alongside them: SiteQura understands physical execution, Fidel Labs reasons across the systems around it.
Get early access.
Fidel Labs is in developer preview with limited access. Leave your email and we'll be in touch.