Data and AI
Data pipelines, warehousing, analytics, and deployment of intelligent systems. Built for real decision making, not dashboards nobody opens.
Data infrastructure that earns trust.
Most organizations have data. Few can use it confidently. We build the pipelines, warehouses, and models that turn raw data into decisions you can defend.
Data pipelines
Reliable extraction, transformation, and loading from every source that matters. Idempotent, monitored, and version controlled. No silent failures.
Warehousing and analytics
Centralized warehouses with governed access, modeled schemas, and performance tuned queries. Built on modern cloud platforms, sized to your actual workloads.
ML deployment
Machine learning models in production, not notebooks. Feature stores, model registries, monitoring, and rollback. Every model is observable.
Data governance
Classification, access policies, retention rules, and audit trails. Everything documented to NDPR standards and defensible at audit.
Business intelligence
Dashboards and reports that people actually use. Metric definitions agreed upon once and applied everywhere. No conflicting numbers across teams.
Real-time analytics
Streaming pipelines for decisions that cannot wait for batch. Event processing, low-latency aggregation, and alerting on operational signals.
Define the question first.
Data projects fail when the question is unclear. We start with the decisions you need to make, then build backward to the data required to make them.
Decisions before dashboards
We document the questions before building anything. Every dataset and model must serve a specific decision.
Single source of truth
One agreed-upon definition per metric, applied everywhere. No conflicting reports across teams.
Data quality enforced in pipelines
Tests run against every table on every load. Bad data is caught at the source, not discovered months later.
Model monitoring from day one
Models drift. We track performance continuously and alert when predictions degrade beyond thresholds.
Data handled to NDPR standards.
Personal data is classified, encrypted, and access controlled at every stage. Data flows, retention, and processing activities are documented and defensible.
Often paired with these.
Have data you cannot trust yet?
Tell us what decisions you need to make. We'll help you build the pipelines, governance, and analytics to make them confidently.