What We Build
From raw data to real decisions
Data Engineering & Pipelines
Robust ETL/ELT pipelines that move, clean, and transform data from every source — in real time or batch — so your analysts always have fresh, trusted data.
Analytics & BI Platforms
We implement and configure Looker, Metabase, Tableau, or custom dashboards that turn raw numbers into decisions your leadership can act on.
Machine Learning Models
Predictive models, recommendation engines, anomaly detectors — built, trained, and deployed by experienced ML engineers, not just data scientists.
AI Agent Integration
AI agents that query your data, surface insights in plain English, and trigger downstream workflows — cutting analyst time on routine reports by 70%+.
Data Governance & Quality
Data catalogs, lineage tracking, and quality monitoring so you can trust every number in every report.
Cloud Data Warehousing
Snowflake, BigQuery, or Redshift architectures designed for performance and cost — with automatic partitioning and query optimization built in.
Real Results
What this looks like in practice
Churn prediction model that identifies at-risk accounts 30 days before cancellation, giving CS teams a head start.
Real-time recommendation engine that increased average order value by 22% within 60 days of deployment.
HIPAA-compliant data warehouse unifying EHR, billing, and outcomes data for a regional health system.
Fraud detection pipeline processing 50K transactions/minute with sub-100ms latency and 99.4% accuracy.
Our Stack
Best-in-class data tooling
Warehousing
Pipelines
ML / AI
BI & Viz
FAQ
Common questions
Turn your data into your biggest advantage
Talk to our data team — we'll show you what's possible with what you already have.
Talk to a Data Engineer →