The Enterprise AI Control Plane
Route every request. Govern every decision.
Turn enterprise AI into reliable, governed, auditable outcomes. Bring your hardest request — Metaplexus routes it to the right capability and returns the result with its checks shown.
Why Metaplexus
Governed components, one layer
Specialized capabilities orchestrated behind a single auditable entry point.
Audit-native by design
Every decision is audit-replayable — determinism-hash, audit trail, grounding fidelity.
A written constitution
A ratified set of principles defines what a good answer is.
Claims marked by evidence
Each claim in an answer is marked verified, inferred or unverified.
What is Metaplexus?
Metaplexus connects the AI tools an enterprise already uses into one network. It is the control plane above your AI estate — designed to govern, orchestrate, and audit every model and agent you run, routing each request to the right capability and returning a reliable, contextual result.
It is infrastructure, not a library. Metaplexus owns the components, the assembly line, and the quality gate each component passes before it is wired in.
What it is
- An Enterprise AI Control Plane
- An enterprise orchestration layer
- A contextual intelligence network
- A system for routing, execution, and resilience
What it is not
- A simple chatbot
- An LLM wrapper
- A static AI library or tool directory
- A single-model product
How a request flows
Intent in, governed outcome out. Every request passes through the same verifiable path.
A critic can review research answers
When it is switched on, a critic re-reads a research draft against the evidence it retrieved and asks for a revision if a claim drifts from the source. Each answer carries a numeric grounding-fidelity score (0–1) for how well it is anchored in cited evidence.
Eight invoked capabilities
Each is tied to working code with measurable test coverage — a mechanism the platform runs, not a claim it makes.
Planning depth
Reads each incoming task and sets the right planning depth — light, standard, deep, or strategic.
Decision-making
Scores options on eight kernel principles with an actor/critic review, producing a numeric verdict and recorded reasoning.
Research
Routes a question through five composition modes into six structured deliverables, with a grounding-fidelity score.
Capability production
Takes a need from definition to a shipped component without skipping a quality step.
Universal production pipeline
The single gated path every component travels: harvest, build, gate, wire.
Agent factory
Composes specialized agents for sustained, multi-step work.
Weak-spot detection
Detects where the system is weakest and proposes targeted upgrades.
Goal management
Carries a high-level goal down to concrete tasks and tracks whether the work converges on it.
Where Metaplexus is focused
Built for the critical players in the global economy — sectors where reliability and governance are not optional. Already in active enterprise engagements across industrial, commercial, and partner ecosystems.
Banking & Finance
High-security, high-reliability orchestration for regulated decisions.
Manufacturing
Process optimization and supply-chain cognitive mapping.
Holdings & Conglomerates
Cross-departmental intelligence unification for holding-scale organizations.
Funds & Family Offices
Large-scale asset and operational intelligence management.
Enterprise trust, by construction
Trust here is built into the platform's architecture: each mechanism below is part of how a request runs.
Circuit breakers
Each tool call runs behind a circuit breaker; a tool whose breaker is open is refused and the run goes on without it.
Constitutional quality gates
Each answer is checked against the written principles, and the result of the check is shown with the answer.
Traceable reasoning
Each run keeps an audit trail of its steps, and each claim is marked by how well it is backed.
Governed execution
Requests are routed to the components that fit them, and each tool call is checked against the caller's permissions before it runs.
Questions, answered
- Is Metaplexus an LLM wrapper or a chatbot?
- No. It is an orchestration layer that routes intent across specialized components with governance — not a single model behind a chat box.
- How is reliability ensured in production?
- Requests are routed to the components that fit them, each tool call is protected by a circuit breaker, and each answer is checked against written quality principles; an answer that could not be checked says so.
- Can we audit what the system did?
- Yes. Each run keeps an audit trail of its steps, and each claim in an answer is marked verified, inferred or unverified.
- How does it fit our existing stack?
- Metaplexus sits above the stack as the orchestration layer, connecting intent to the tools and execution systems you already run.
From intent to intelligent action.
Connected intelligence, executed — across governed components.