◆ MLOPS × COMPLIANCE / REGTECH

MLOps development for compliance & regtech

Training, eval, deployment, monitoring of ML and LLM systems. Reproducible runs, drift detection, cost-aware inference. Tuned for compliance / regtech — AML, transaction monitoring, sanctions, KYC, KYB, case management. Built to clear regulator reviews, not impress investors.

◆ WHY MIR

Why teams pick us

Compliance / Regtech-grade engineering

AML, transaction monitoring, sanctions, KYC, KYB, case management. Built to clear regulator reviews, not impress investors.

MLOps where it counts

Training, eval, deployment, monitoring of ML and LLM systems. Reproducible runs, drift detection, cost-aware inference.

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.

◆ COMPLIANCE / REGTECH PAIN POINTS WE SOLVE

Where MLOps meets compliance / regtech

Transaction monitoring rules that scale

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

Sanctions screening with low false-positive rates

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

Case management with full audit trails

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

Evidence pipelines for FCA / FinCEN / MiCA

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

◆ STACK

What we build with

Modal / RunPod / AWS Weights & Biases / MLflow DVC / LakeFS Triton / vLLM Prometheus + custom drift checks
◆ PROCESS

How we ship

  1. Reproducibility first — frozen envs, pinned data, lineage tracking.
  2. Eval harness before any production rollout.
  3. Canary + shadow deploys for every model update.
  4. Drift + cost dashboards from day one.
◆ START A PROJECT

Tell us what you're building

We respond within 24 hours. NDA available on request.