◆ DEVOPS × AI / ML STARTUPS

DevOps development for AI/ML startups

Infrastructure that doesn't wake you up. Terraform, Kubernetes when justified, serverless when smarter, observability always. Tuned for ai / ml startups — From the eval harness up. We help AI startups ship past the demo and into production — with cost ceilings, observability, and a real moat.

◆ WHY MIR

Why teams pick us

AI / ML startups-grade engineering

From the eval harness up. We help AI startups ship past the demo and into production — with cost ceilings, observability, and a real moat.

DevOps where it counts

Infrastructure that doesn't wake you up. Terraform, Kubernetes when justified, serverless when smarter, observability always.

Senior team, no pyramid

9+ years building outsourced product teams. Every engineer is a senior shipping production code — not a 5-person team with one architect on top.

◆ AI / ML STARTUPS PAIN POINTS WE SOLVE

Where DevOps meets ai / ml startups

Evals that catch regressions before users do

We've shipped this in production. We design for it from day one — not as a retrofit.

Cost ceilings on LLM calls

We've shipped this in production. We design for it from day one — not as a retrofit.

RAG pipelines that survive real document corpora

We've shipped this in production. We design for it from day one — not as a retrofit.

Production observability for non-deterministic systems

We've shipped this in production. We design for it from day one — not as a retrofit.

◆ STACK

What we build with

Terraform AWS / GCP Kubernetes (when scale demands) Vercel / Cloudflare for edge GitHub Actions Datadog / Grafana / Honeycomb
◆ PROCESS

How we ship

  1. Audit current cloud spend and on-call burden.
  2. Cut both — usually 30–60% on each.
  3. Codify everything in Terraform, no click-ops.
  4. Hand off with runbooks and SLO dashboards.
◆ START A PROJECT

Tell us what you're building

We respond within 24 hours. NDA available on request.