MLOps Enablement

From Prototype to Production — Make Your ML Models Actually Deliver

Over 85% of AI/ML models never make it to production. Most teams can build models — but deploying, monitoring, and scaling them? That’s where things fall apart.

At LeanOps, we help data-driven startups and growing tech teams turn machine learning prototypes into real, resilient production systems — fast.

Why MLOps Matters — And Why It’s Hard

ML success isn’t just about great models. It’s about delivering value in the real world.

But that’s where most teams get stuck:

Data scientists aren't DevOps engineers.
Infrastructure for ML is complex and fragile.
Manual deployment wastes time and increases risk.
Models drift. Pipelines break. Costs spike.

You need scalable, automated systems — not more Jupyter notebooks.

What We Do: End-to-End MLOps, Built Right

LeanOps offers complete MLOps enablement, combining DevOps discipline with ML expertise. We design and implement the systems you need to deploy, manage, and monitor machine learning in production — reliably and repeatedly.

Our MLOps services include:

CI/CD for ML — Automate model training, testing, and deployment
Data & Model Versioning — Track experiments and maintain reproducibility
Infrastructure-as-Code — Reusable, scalable environments built on Terraform, Docker, Kubernetes
ML Pipelines — Kubeflow, MLflow, AWS SageMaker, or your stack of choice
Monitoring & Drift Detection — Keep models accurate and reliable post-deployment
Security & Compliance — Role-based access, data governance, and auditability baked in

Why LeanOps?

Run by a former AWS engineer, LeanOps brings big-tech experience to fast-moving startups and scale-ups.

We’re not generalist consultants — we’re DevOps and MLOps specialists.
We don’t hand off slides — we build production-ready systems.

What sets us apart:

🔧 Deep AWS + DevOps expertise — battle-tested architectures
🚀 Speed: We’ve deployed scalable ML infra in as little as 3 weeks
💬 Partner mindset: We work as part of your team, not outside it
📈 Outcome-driven: Our work unlocks ROI from your ML investments

What You Get

✨ A working MLOps pipeline tailored to your stack
🔄 Models deployed as APIs with CI/CD and rollback
🧩 Integrated observability for performance, usage, and drift
🧠 Documentation and training so your team can take over
💸 Faster iteration, lower risk, real ML impact

Let's Talk

Whether you’re working on your first ML feature or scaling an AI product line — we can help you go live faster, safer, and leaner.

🚀 Book a free consultation today
We’ll assess your current ML stack and recommend a battle-tested path to production.

Schedule a Call