Autonomous platform

SteadyState
Your systems. Working together.

Connect operational evidence, build specialised agents, and coordinate policy-controlled action across your infrastructure. Give your team a clear path from investigation to measured recovery.

Request a free pilot →Explore the engineering
A 10-second glimpse

See the workflow in motion.

Explore the self-healing workspace: detection, analysis, remediation, and verification, followed by the decision controls. A silent walkthrough of the demonstration environment.

SteadyState · Self-healing and decision workflows10 seconds · Silent
Try a free pilot with your team →
Inside the platform

One view of your operations.

SteadyState operations dashboard
Operations dashboard · Demonstration environment Open image to enlarge ↗
Business outcomes

Less fragmented work. More informed action.

Unify operational context

Bring authorised inventory, telemetry, recent changes, and incident evidence into the same investigation.

Reduce investigation effort

Connect symptoms to source evidence and competing causes so engineers can focus on the next useful action.

Keep control of execution

Review scope, permissions, risk, and approvals before supported actions run. Evaluate service health after execution.

Agent workspace

Build agents around the work.

Describe goals in natural language, start from specialist templates, and define the tools and permissions each agent can use. Connect operations, development, and governance workflows.

SteadyState Agent Builder templates
Agent Builder · Code review, incident response, and cloud operations templates Open image to enlarge ↗
Platform architecture

Evidence, action, and outcomes stay connected.

  1. 01

    Observe

    Connect authorised resources and collect operational signals.

  2. 02

    Diagnose

    Correlate context and trace evidence through specialist agents.

  3. 03

    Govern

    Check action scope, policy, risk, and required approvals.

  4. 04

    Act

    Execute supported actions within configured boundaries.

  5. 05

    Verify

    Evaluate post-action health against declared conditions.

  6. 06

    Learn

    Record outcomes and evaluate feedback before promoting changes.

Deployment and integration details

SteadyState brings together cloud and on-premises operations, including VMware, Kubernetes, AWS, Azure, and Google Cloud. Adapter, resource type, permissions, and network connectivity determine the available actions.

AetherGraph supports orchestration and traces. Learning workflows use outcome memory, replay, and promotion gates. Production learning promotion remains gated; successful command execution and verified service recovery are recorded separately.

Your workflow. Your first autonomous outcome.

See autonomy in action.
Start with a free pilot.

Curious how autonomous behaviour could work for your business? Bring a real challenge. We’ll help you define a focused pilot, explore the right product, and agree what success looks like in your environment.

Request your free pilot →

No guesswork. Start with a conversation.