01
ML pipelines
Training, deployment, retraining, and rollback — automated end-to-end.
Production ML and intelligent automation — not slideware.
Most AI projects fail to leave the notebook. We help teams cross that gap — building ML infrastructure that actually ships, with the operational maturity to keep models healthy in production for years.
Not slides. Not a kick-off deck. Concrete artifacts you can touch, click, and show your team.
Most engagements move from first call to kick-off in 5 – 10 business days, contracts permitting.
Your first model in production behind a feature flag, serving real traffic.
A training pipeline that re-runs on schedule with automatic rollback paths.
Observability dashboards covering drift, latency, and per-tenant inference cost.
Training, deployment, retraining, and rollback — automated end-to-end.
Knowledge-grounded LLM apps that cite their sources.
Pipelines, warehouses, and lakehouse architectures that scale.
Dashboards and reporting that earn an executive's trust.
What models exist, what data feeds them, where the gaps are.
Pipelines, infra, and the ML platform that turns research into product.
Models in production behind feature flags with safe rollback paths.
Drift detection, performance dashboards, and incident playbooks.
We pick boring technology where we can and novel technology where it matters — always optimizing for what your team can maintain.
Bespoke products engineered around your business.
Modern, performant web apps on a battle-tested stack.
Native and cross-platform apps that feel right at home.
Tell us where you are, what you need, and when you need it. We'll come back within a business day — with recommended engagement model and honest pricing.