◆ MLOPS × FINTECH

MLOps development for fintech

Training, eval, deployment, monitoring of ML and LLM systems. Reproducible runs, drift detection, cost-aware inference. Tuned for fintech — Payments, lending, custody, neobank rails, embedded finance. Engineered for regulated environments — FCA, FinCEN, MiCA, MAS.

◆ WHY MIR

Why teams pick us

Fintech-grade engineering

Payments, lending, custody, neobank rails, embedded finance. Engineered for regulated environments — FCA, FinCEN, MiCA, MAS.

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.

◆ FINTECH PAIN POINTS WE SOLVE

Where MLOps meets fintech

Double-entry ledgers that survive audits

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

Idempotent payments + reconciliation

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

KYC/KYB integrated without UX collapse

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

Regulator-ready audit trails

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.