Devotica builds the lakehouse, the pipelines, and the ML platform as one system — AWS-first, multi-cloud when you need it — so your dashboards are accurate, your models reach production, and your data finally earns its keep.
Streaming, batch, and modeling belong in one system. We build flows that ingest, transform, and serve data your BI and AI can actually trust.
A single, governed data foundation that serves analytics and AI alike.
Object-storage lakehouse with governed, open-format tables, so one source of truth feeds every team without copies and drift.
Real-time ingestion and transformation on Kafka, Kinesis and MSK, so data lands seconds after it's created.
Self-serve analytics on QuickSight or the BI tool you already own, modeled so the numbers always reconcile.
Feature stores, deployed endpoints, and production RAG, agents and LLM apps. Now a dedicated pillar — explore our GenAI practice.
Most AI pilots stall for lack of a platform to run on. We build the foundation first — governed data, feature pipelines, deployment, monitoring — so models go from notebook to production and stay there.
We'll map your current data flow, find where trust and freshness break down, and show you the path to analytics and AI you can rely on.
Map your data stack →