AI · For businesses

AI as a service.

Apply AI responsibly across the DevOps lifecycle, to make your infrastructure faster, cheaper and more reliable. Production-grade, never a gimmick.

AIOpsMLOpsIntelligent automationAI-assisted delivery

What we do

AI that earns its place in production.

AIOps

Find and fix incidents faster. AI correlates logs, metrics and traces to surface the root cause.

  • Incident correlation across logs, metrics and traces
  • Automated root-cause analysis
  • Anomaly detection
  • Smarter alerting, less noise

MLOps

Take AI/ML models to production with versioned, monitored and reproducible pipelines.

  • Reproducible training & deploy pipelines
  • Model monitoring & drift detection
  • CI/CD for models
  • Serving, versioning & rollback

Intelligent Automation

Self-healing infrastructure and workflow bots that handle the repetitive toil for you.

  • Self-healing infrastructure
  • Auto-remediation runbooks
  • Workflow automation bots
  • Toil elimination

AI-Assisted Engineering

AI-assisted IaC, troubleshooting and observability, woven across how we deliver.

  • AI-assisted Infrastructure as Code
  • AI-assisted troubleshooting
  • AI-assisted observability
  • Faster, safer changes

Common questions

Good to know.

Is our data safe with AI tooling?

Yes. We apply AI with guardrails, least-privilege access and human review, and never wire AI to act unchecked on production.

Do we need an ML team to use MLOps?

No. We set up the pipelines and practices so your existing team can ship and operate models reliably.

Is this just hype?

No. We apply AI only where it measurably helps: faster incident response, less toil and more reliable delivery.

Put AI to work in your cloud.

Tell us where AI could help, incident response, cost, reliability or delivery speed, and we'll show you what's practical.