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AI workloads changed cloud economics. We keep them honest.

Migration was the easy part. Keeping cloud fast, governed, and affordable once AI runs on it is the real work. Our engineers build it right and keep it that way. Armed with AI that catches the drift before your invoice does.

2500+

Product sprints shipped

10M+

Daily users served on infrastructure we run

40+

Enterprises trusting us with critical infrastructure

400+

Engineers, designers, and product experts

Your cloud bill got unpredictable the day AI arrived.

94%
Of engineering leaders report they still cannot optimize AI infrastructure cost effectively.
98%
Of FinOps teams now manage AI spend. Two years ago it was 31%.

94%

Of engineering leaders report they still cannot optimize AI infrastructure cost effectively.

98%

Of FinOps teams now manage AI spend. Two years ago it was 31%.

What we do

Infrastructure capabilities for teams running AI in production.

We put every workload where it costs the least. And keep it there.

Most providers move everything one direction and call it done.


We work the economics:
  • Bursty and unpredictable stays in the cloud
  • Steady and heavy often costs far less on owned infrastructure
  • Reviewed continuously, moved again when the math changes
How it gets done:
  • Our architects decide what moves, what stays, where it belongs
  • AI watches every workload and flags the waste around the clock
  • A migration done once drifts in months. We hold the gains.

You get automation's reach and the judgment of people who have run infrastructure that can't go down.

Cloud Migration

Onto the platform, without the downtime.

  • Assessment, architecture, zero-downtime execution
  • Each workload placed where its economics make sense
  • Governance and lineage carried through intact
  • Nothing lost. Not data, not institutional knowledge.

Infrastructure

The platform your engineers ship and scale on.

  • Internal developer platforms that compress delivery cycles
  • Multi-cloud, hybrid, or sovereign by design
  • Cost controls wired in from day one

DevOps

Pipelines that move at your speed.

  • CI/CD designed against your release cadence
  • Infrastructure as code, versioned and governed
  • Every release validated before it reaches production

AI Observability

Cost and performance visibility.

  • GPU hours, token spend, and inference costs attributed per workload
  • Drift caught before it reaches your invoice
  • Cost-per-token and cost-per-inference tracked against business value

AIOps

Autonomous operations with engineers on the calls that matter.

  • Anomaly detection, scaling, and remediation running continuously
  • GPU utilization and inference behavior monitored at the workload level
  • Our engineers own the decisions that automation flags

What we ship

Your infrastructure, your perimeter, your rules.

Built for operations that answer to regulators. Finance, healthcare, government, defense.

Public cloud, private, hybrid, or fully air-gapped

Data residency by design, not exception

No workload running anywhere your policy doesn't allow

Our engineers run it on your ground, on the same sovereign platform that powers Mustang.

Not sure where your cloud economics stand?

Two weeks against your real workloads. Every GPU hour, inference endpoint, and storage tier reviewed. A clear picture of what's recoverable before you commit to anything further.

Providers

AWS · Azure · GCP

Kubernetes · Helm · Terraform · Pulumi · Crossplane · Backstage · ArgoCD

GitHub Actions · GitLab CI · Jenkins · Azure DevOps · CircleCI

NVIDIA H100/H200 · CUDA · vLLM · KEDA · Ray

CloudZero · Kubecost · Apptio · FOCUS · AWS Cost Explorer · Azure Cost Management

OpenTelemetry · Datadog · Grafana · Prometheus · Jaeger

Weights & Biases · Arize · LangSmith · DCGM Exporter

Falco · OPA · Gatekeeper · Aqua

Providers Orchestration & Platform CI/CD AI Infrastructure FinOps & Cost Governance Observability & Monitoring AI Observability Security & Policy

The stack keeps changing.
Being first to master it is the constant.

 Two weeks.
One number.

We assess your cloud against your actual workloads and show you exactly what's recoverable and what's at risk. A quantified baseline before you commit to anything further.

Building AI on it?

What we're thinking about right now.

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