Design and build cloud data platforms
and machine learning systems
We help teams deliver cloud‑native data lakes, ML platforms, and analytics that move from idea to production—securely and at scale.
From data foundations to
production‑ready AI
Partner across the lifecycle: design the right foundations, operationalize ML, and ship insights that matter.
Data Lakes
Design and build cloud data lakes and lakehouses on AWS, Azure, or GCP. Secure ingestion, governance, and cost control from day one.
ML Platforms & MLOps
Production‑grade ML with feature stores, experiment tracking, CI/CD for models, serving, and monitoring built for reliability.
Analytics & Models
From KPI dashboards to custom ML models. Quick wins first, with clear hand‑off to your team.
End‑to‑end services for your data and AI
from foundations to production
Data Lake Build
Plan and implement lake/lakehouse architectures on AWS, Azure, or GCP. Ingestion, catalog, governance, and cost optimization baked in.
ML Platform
Production ML made reliable. Experiment tracking, feature stores, CI/CD for models, serving, and monitoring.
Custom Analytics
Answer key questions fast with clean datasets, dashboards, and bespoke analyses. From exploration to production-ready reporting.
Data Shop
A curated data access layer so teams can discover and request datasets safely. APIs, permissions, and usage tracking included.
What we can build together
practical, production‑ready solutions
From quick wins to platforms, the focus is on measurable outcomes, maintainability, and a smooth hand‑off to your team.
Time‑series forecasting for demand, pricing, and operations using classical and deep learning methods. Backtesting, feature engineering, and MLOps to move models from notebooks to reliable production workloads.
Tech Stack
Cloud‑native, open‑source first
proven tools for modern data platforms
