COLOMBOAI · THE INTELLIGENCE CONTROL PLANE COMPANY

MC-1
The Intelligence Control Plane for the AI Economy.

Models generate intelligence. Agents turn intelligence into action. MC-1 controls the system between them.

One adaptive control layer for models, agents, providers, enterprise systems, AI economics, trust, security, and autonomous transformation.

Explore MC-1 ↗Start with MC-1 Forward →Read the flagship paper →
APPLICATIONSAGENTSENTERPRISE SYSTEMS
01 / INTELLIGENCE CONTROL PLANEMC-1Understand · Authorize · Budget
Select · Evaluate · Improve
MODELSPROVIDERSPRIVATE COMPUTETOOLS
MEASURED OUTCOMES ACCOUNTABLE BY DESIGN
THE CATEGORY PROBLEM

Intelligence is becoming abundant.
Control of intelligence is not.

More models, agents, providers, autonomous actions, AI spend, and security decisions create a new operating problem. MC-1 brings them under one control plane.

More modelsMore agentsMore providersMore AI spendMore autonomous actionsMore security decisions
BEYOND MODEL ROUTING

Routing is a feature.
Intelligence control is the platform.

Routing chooses a destination. MC-1 governs how intelligence accomplishes an outcome across identity, economics, execution, evaluation, and evidence.

01DIRECT MODEL API

Call a model

02MODEL ROUTER

Where should the request go?

03SMART ROUTER

Which model is best?

04INTELLIGENCE CONTROL PLANE

How should intelligence accomplish the outcome?

THE MC-1 CONTROL LOOP

Every decision
has a next decision.

The control plane connects the entire lifecycle so a result can be authorized, measured, explained, and improved. Select a step to see what it controls.

01 / CONTROL LOOPUnderstand

Interpret the objective, task context, and constraints.

CONTINUUM · KEEP THE MISSION ALIVETRUST · RECORD THE EVIDENCEFINOPS · CONTROL THE ECONOMICS
THE INTELLIGENCE CONTROL PLANE

Models generate intelligence.
MC-1 controls the system between them.

MC-1 understands the query, authorizes the actor, applies economics and policy, selects an eligible path, evaluates the result, and records the evidence.

Explore the architecture →
BUSINESS OBJECTIVE↓MC-1 FORWARD↓MC-1 INTELLIGENCE CONTROL PLANE↓MODELS · PROVIDERS · AGENTS · TOOLS↓MEASURED BUSINESS OUTCOME
FLAGSHIP ENTERPRISE APPLICATION

MC-1 Forward

The Autonomous AI Transformation Engineer

Understand your enterprise. Discover the highest-value AI opportunities. Build the solution. Deploy it safely. Measure the outcome. Keep improving.

Explore MC-1 Forward ↗
  1. 01Connect
  2. 02Understand
  3. 03Discover
  4. 04Prioritize
  5. 05Design
  6. 06Build
  7. 07Deploy
  8. 08Measure
  9. 09Improve
Enterprise Intelligence GraphOpportunity EngineTransformation PlannerSolution BuilderSandboxOutcome Ledger

Current rollout starts with read-only, tenant-scoped discovery. Later write paths require identity, policy, evaluation, approval, and rollback controls.

MC-1 CONTINUUM · PRODUCT DIRECTION

Long-running missions
need continuity.

We are designing governed recovery across failures, model changes, provider outages, approvals, and policy transitions. Continuum is not yet generally available.

Explore Continuum →
STAGE 01Mission

Define the objective, owner, boundary, and success criteria.

Illustrative product direction · not live mission telemetry
THE MC-1 PLATFORM

One control plane.
Connected product systems.

Start with the capability you need. Every product has a focused page and connects back to the same governed intelligence layer.

01

Core

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

Open Core →02

Continuum

A product direction for durable, governed execution across long-running missions.

Open Continuum →03

Forward

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

Open Forward →04

FinOps

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

Open FinOps →05

Agent Guard

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

Open Agent Guard →06

Trust

Continuous AI trust infrastructure: evidence, evaluation, and live assurance for agents.

Open Trust →07

Everywhere

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

Open Everywhere →
REFERENCE ARCHITECTURE

One accountable layer.
Every eligible execution path.

Humans, applications, and agents connect through MC-1 to approved models, providers, tools, and private infrastructure.

ECONOMICS · AUTHORITY · TRUST

Control the system
around the model.

Each MC-1 system answers a different operational question while sharing one accountable control layer.

01 / INTELLIGENCE FINOPS

Control AI spend before the tokens are burned.

Budget, select, execute, and evaluate against cost per successful outcome.

Explore FinOps ↗
02 / AGENT IDENTITY + GUARD

Intelligence is not authority.

Bind an agent to identity, mission, capability, and policy before an action crosses the enterprise boundary.

Explore Agent Guard ↗
03 / MC-1 TRUST · DEVELOPMENT INITIATIVE

Trust should be continuous.

Connect evidence, evaluation, assurance, policy, and runtime monitoring.

Explore Trust ↗
BUSINESS OUTCOMES

Infrastructure control.
Business consequence.

Forward and FinOps connect the runtime to measurable enterprise value.

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Lower AI cost

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Faster AI deployment

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Higher FDE productivity

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Safer autonomous agents

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Better model/provider economics

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More reliable AI outcomes

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Continuous enterprise transformation

MC-1 EVERYWHERE · DEVELOPERS

One Intelligence Endpoint.

Connect an application or agent to MC-1, then execute through any eligible model or provider using OpenAI-compatible APIs, SDKs, and harness integrations.

View developer experience ↗
SECURITY + GOVERNANCE

One control plane
across the enterprise.

Organization policy, private and sovereign inference, Agent Identity, Agent Guard, FinOps, Forward, and audit evidence share one product architecture. MC-1 Trust extends this architecture toward continuous assurance.

Explore Agent Guard ↗Explore MC-1 Trust →
CLEAR ENTRY POINTS

Start with the control
you need now.

Build on MC-1 Core, begin a free Forward discovery assessment, or scope FinOps and enterprise requirements with ColomboAI.

View pricing ↗
FLAGSHIP RESEARCH

The Intelligence Control Plane

The Missing Operating Layer for the AI Economy

A concise architecture and research agenda for controlling how models, providers, agents, economics, policy, and evaluation work as one adaptive intelligence system.

Read the Flagship Paper ↗
THE CONTROL LAYER

The AI economy does not need another model.
It needs a control plane.

Connect your models, agents, providers, and enterprise systems to MC-1.

Explore MC-1 ↗Start with MC-1 Forward →
ColomboAI — The Intelligence Control Plane Company