Autonomous agents & workflows

Agentic workflows that run your business.

Minato builds autonomous AI agents and consistent, repeatable business workflows — for GTM, content, lead gen, and the ones you don't have yet. We design them with you, onboard your team, and run them for you.

Done for youBuilt · Onboarded · Run
Specialist agentsClaude Code · Codex · OpenCode
Kubernetes nativeHelm · Operator · Namespaces
Product tour

One operating surface for agentic work.

Direct the objective, keep human decisions in the loop, and retain the result with the evidence behind it.

Minato Director for Northstar Operations with agent roster, approvals, and workflows in the right rail.
  1. Minato Director for Northstar Operations with agent roster, approvals, and workflows in the right rail.
Built with

Specialists for the work. Infrastructure underneath.

Minato gives bounded workflow steps to specialist coding agents, then runs the system on a Kubernetes-native foundation you can inspect and operate.

  • 01
    Research and execution

    Claude Code

    Tool-driven specialist work across code, files, and longer-running tasks.

    Available to workflows
  • 02
    Implementation and review

    Codex

    Structured changes, analysis, and verification inside a working repository.

    Available to workflows
  • 03
    Terminal specialist

    OpenCode

    Command-line execution for bounded workflow steps and system integration.

    Available to workflows

Infrastructure foundation

  • Kubernetes
  • Helm
  • Temporal
  • Go
  • TypeScript
  • Playwright
How Minato works

The infrastructure beneath the operating surface.

The product UI is one layer. Under it, Minato coordinates specialist agents, durable workflow state, approvals, services, and evidence inside a Kubernetes-enforced boundary.

System slice
One operating model. Clear ownership at every layer.

Teams see work and decisions. Minato handles coordination. The tenant runtime performs the work. Kubernetes enforces the runtime boundary inside the environment your team controls.

Operator-managed workspace
  1. 01

    Product surfaces

    The operating view your team uses to direct and review work.

    • Director
    • Approvals
    • Workflows
    • Results
  2. 02

    Minato control plane

    Lifecycle, orchestration, policy, and governed model access.

    • Workspace lifecycle
    • Orchestration
    • Policy gates
    • Model access policy
  3. 03

    Tenant runtime

    A namespace-scoped system for specialist work and evidence.

    • Workspace control
    • Specialist agents
    • Model gateway
    • Services
    • Store + artifacts
  4. 04

    Kubernetes foundation

    The deployment and isolation boundary underneath the system.

    • Helm
    • Operator
    • Namespaces
    • Secrets + storage
Your Kubernetes environment
Minato operatorReconciles the workspace and its runtime boundary.
Control planeLifecycle · policy · model routing
Tenant runtimeAgents · gateway · services · evidence
Identity + secretsStorageIngress + policy
Deployment boundary

Run Minato in a Kubernetes environment you control.

Minato is Helm-packaged and operator-managed. We validate the target cluster, storage, ingress, identity, and policy controls as part of deployment planning.

Explore the platform
How we work

From one operating problem to a system your team can trust.

We start with a bounded workflow, make its evidence and controls explicit, then move it into the agreed operating environment.

  1. 01

    Map

    Trace the process, systems, people, approvals, constraints, and deployment boundary.

    OutputWorkflow blueprint
  2. 02

    Build

    Create one narrow agentic loop with the tools, evidence, and human control it needs.

    OutputWorking loop
  3. 03

    Prove

    Run real cases, inspect expected output and failure behavior, and make readiness visible.

    OutputEvaluation evidence
  4. 04

    Operate

    Deploy in the agreed Kubernetes environment, observe the system, and expand deliberately.

    OutputRunbook + boundary

Systems draft. Your team approves. Autonomy expands only after the workflow, evidence, and boundary are understood.

See how we deliver
Let's talk

Start with one operating problem.

Book a call to identify the workflow, the human decisions around it, and the Kubernetes boundary it should run inside.