The platform

One operating layer for enterprise work.

The CtrLoop engine keeps one shared context across your humans and agents and runs a graded execution loop over it - with contracts, evaluation and governance so agents can be trusted to run, not just demo. Model-agnostic, and deployable in your own cloud.

Humans and AI agents working around shared intelligence - plan, execute, analyze, optimize, collaborate

Architecture

The Work OS, layer by layer.

Everything shares one context and one set of controls - so a new use case reuses the permissions, integrations and audit you've already built, instead of rebuilding them.

Experience

Agent Teams
roles · handoffs · human-in-the-loop
Workspaces & CLI
where people and agents collaborate

Engine

CtrLoop Engine
one shared context · orchestrator · graded execution loop

Control plane

Contracts
no drift
Guardrails
policy & safety
Eval & traces
prove it's safe
Governance
RBAC · audit

Data & integrations

Market Intel
real-time signals
Connectors
your stack
Knowledge
context & memory

Foundation

Model-agnostic runtime
route each task to the model that fits - nothing is locked to one lab

The engine

A graded execution loop over shared context.

The engine removes the ~80% of effort AI builds waste re-establishing context. Every run plans, executes, reviews and learns against one context - so quality compounds instead of resetting.

01Plan
02Execute
03Launch
04Feedback
05Iterate
CtrLoopOne shared
context
PMProduct
AIAgent
OPSRun
AIAgent
DATAInsight
CMOGrowth
Plan

Plan against context

The team drafts the work grounded in one shared context - goals, data, prior decisions.

Execute & review

Act, then check

Agents execute with graded autonomy; contracts and evaluation gate the output before it ships.

Learn

Compound

Traces and outcomes feed back - the team beats its own baseline, run after run.

Why one layer

The advantages of a unified layer.

Model optionality

Nothing you build is locked to a model - each task routes to whichever model fits, on cost and quality.

Accelerated building

Permissions, integrations and audit are built once and reused - a new use case starts from what you already have.

Shared context

Humans and agents work off one context - no re-explaining the business for every task.

Centralized governance

One place defines who and what can access which data and actions - enforced across every agent.

Compounding intelligence

Every run improves the shared system - the loop is the moat, not any single output.

Flexible deployment

Multi-tenant SaaS, single-tenant, or in your own VPC across AWS, Azure and GCP.

Let's talk

See the platform on your workflow.

Bring your highest-value use case - we'll show you the build.

Book a demo