THE INTELLIGENCE CONTROL PLANE COMPANY

What is an
Intelligence Control Plane?

The governed operating layer between enterprise demand and AI execution. It controls how intelligence is selected, authorized, budgeted, evaluated, corrected, and transformed into outcomes.

Read the paper →
WHY ROUTING IS NOT ENOUGH

A route chooses a path.
A control plane governs the system.

Enterprise AI must decide whether an actor is authorized, what data may move, what a request may cost, which execution paths are eligible, whether the result worked, and what happens next.

THE ICP STACK

One accountable layer.
Many execution choices.

Applications and agents ask for outcomes. MC-1 decides which eligible intelligence path should act and records why.

CONTROL DOMAINS

The full intelligence
operating loop.

An ICP connects runtime decisions that point solutions leave fragmented.

01

Query Intelligence

Understand task, context, constraints, risk, and required capabilities before routing.

02

Model Intelligence

Maintain comparable capability, constraint, provenance, and performance evidence.

03

Economics

Apply budget, provider cost, workload value, and cost-per-outcome objectives before inference.

04

Agent authority

Bind actors to identity, mission, permissions, policy, revocation, and audit.

05

Evaluation

Verify outcomes with deterministic and model-assisted checks instead of assuming success.

06

Self-correction

Use bounded retry, escalation, alternate routes, and customer-approved adaptation.

07

Enterprise transformation

Connect controlled execution to discovery, planning, deployment, and measured business change.

08

Sovereignty

Keep restricted workloads within approved region, provider, private, local, or edge boundaries.

WHY NOW

Intelligence is abundant.
Control is the bottleneck.

Model choice, agent autonomy, provider fragmentation, AI spend, and enterprise security now change request by request. Static application logic cannot govern that environment alone.

MC-1 CORE

MC-1 Core

The governed runtime for selecting, executing, evaluating, and improving intelligence.

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MC-1 FORWARD

MC-1 Forward

The autonomous AI transformation engineer for evidence-led enterprise change.

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MC-1 INTELLIGENCE FINOPS

MC-1 Intelligence FinOps

Budget, allocate, and optimize intelligence spend without losing quality or control.

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AGENT IDENTITY + AGENT GUARD

Agent Identity + Agent Guard

Identity, authorization, policy, and evidence for every consequential agent action.

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MC-1 EVERYWHERE

MC-1 Everywhere

Bring the control plane to approved models, providers, private compute, and enterprise systems.

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FLAGSHIP PAPER

The Intelligence Control Plane

The Missing Operating Layer for the AI Economy

Read the architecture, system formulation, evaluation method, and research agenda behind the category.

Read the Intelligence Control Plane Paper ↗