platform engineering hero

FOR PLATFORM ENGINEERING

Infrastructure governance that actually scales.

Mia-Platform governs assets, compliance, and remediation: global maps, automated scorecards, and targeted campaigns.

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The governance loop: from asset to action. Continuously.

Every change in your infrastructure is detected, measured against your rules, and resolved through targeted action, without meetings, spreadsheets, or ad-hoc threads.

visibility

1. VISIBILITY

Map every asset

The Context Catalog connects to your clouds, DevOps tools, and on-prem systems through pre-built connectors. Every asset is cataloged with metadata, dependencies, and runtime state. Updates in real-time as your environment changes.

rules compliance policies

2. RULES, COMPLIANCE & POLICIES

Encode your standards

Scorecards turn compliance, resilience, and security rules into automated checks. Run against every asset, at every commit.

action route the work

3. ACTION

Launch the Campaign

Campaigns turn Scorecard findings into structured remediation plans. The Platform auto-detects every failing asset, generates the tasks, and routes each to the responsible engineer. Dashboard-delivered, ownership explicit.

validation confirm the fix

4. VALIDATION

Confirm the fix

Fixes are validated in real-time against the Scorecard. Wrong region? Flagged immediately. All criteria met? Scorecard flips from red to green. Head of Platform monitors live. The loop starts again with the next change.

Built for platform teams.
Trusted at enterprise scale.

Every capability is built around one question: can the platform team prove what runs, where, and under which rules?

engineering intelligence

Engineering Intelligence

The platform team’s operational console. One app that unifies the three building blocks of active governance.

Explore the Catalog Administration
scorecards

Scorecards

Validate every asset against your rules, at every commit. Legacy risk, CI checks, SBOM, CVE exposure…

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campaigns

Campaigns

Turn findings into structured remediation plans, routed to the right engineer, with live progress.

Explore the Campaigns

Console Orchestrator

environment as a service eaas

Self-service delivery, inside the rules you set.

The Platform Engineering Orchestrator, called Console, is how engineers and AI agents get environments, deploy services, and provision resources, without tickets and without stepping outside compliance. The platform team defines the golden paths once. Everyone works inside them automatically.

  • Self-service provisioning across clouds
  • Zero tickets for standard operations
  • Golden paths from commit to production
  • Governed by default runtime access

How to get it ->

Operational Abstraction

Infrastructure, tools, and services exposed to engineers and AI agents through a unified interface. GKE, EKS, AKS, OpenShift, on-prem Kubernetes, the interaction stays the same. The abstraction hides complexity without hiding control.

Golden Paths

Pre-approved deployment templates and paths-to-production codify what your platform team considers “correct.” Environments come with security profiles, observability baselines, resource limits, and compliance checks already in place.

80% of deployments flow through a path the platform team already approved. The other 20% get attention, not rubber-stamping.

Governed Self-Service

Engineers and AI agents invoke tools autonomously, without being granted direct infrastructure access. The Orchestrator translates intents into provisioning actions, applies the relevant policies, and executes inside the permission boundary of the requester.

The platform team stops being the bottleneck. It stops being the auditor, too, because every action is audited automatically.

Granular Control

Security profiles, access policies, resource quotas, and audit trails enforced consistently across all environments. Different teams, different projects, different clouds: one policy model, applied everywhere. No two teams drift into different security baselines. What ships in production matches what was approved.

All operations are configured, deployed, monitored, and governed at runtime through the Mia-Platform console. An AI Companion supports configuration and troubleshooting.

Questions we hear before the first call

What clouds, tools, and systems do you connect to?

Mia-Platform ships with pre-built connectors for major cloud providers (AWS, GCP, Azure, OCI), Kubernetes distributions (GKE, EKS, AKS, OpenShift, RKE), Git providers, CI/CD pipelines, artifact repositories, monitoring & observability stacks, and security tooling. Custom connectors cover on-prem and legacy systems. The goal is coverage, not lock-in.

Can we start small, with one cluster or one scorecard?

Yes. Most enterprise rollouts start with one use case: infrastructure health for one business unit, NIS2 compliance for one product line, legacy modernization for one application portfolio. The Catalog grows from there.

What's the deployment model? SaaS, self-hosted, or both?

Three options. PaaS, Bring Your Own Infrastructure (we manage the platform, you own the runtime), or self-hosted (licensed install on your infrastructure).

Ready to see what your platform actually looks like?

Book a session with our team and walk through the Context Catalog on your stack, with a real infrastructure scenario as the starting point.

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Read the Docs
Mia-Platform v15 is in Preview 🎉 Built for enterprise AI that actually works. ➡️