Three disciplines, one system of work. Data engineering, analytics, and applied AI built for modern business challenges.
Build the foundation that scales. Modern data pipelines, warehousing, and governance that keep your analytics and AI systems honest and performant.
▸ Data ingestion → Transform → Warehouse → Analytics
▸ Real-time streaming with sub-second latency
▸ Automated data quality & monitoring
Reliable, scalable ingestion from any source. Transformation logic that evolves with your business, not against it.
Modern cloud-native warehouses built for both analytics and AI workloads. Fast queries, cost-effective storage, governed access.
Metadata management, lineage tracking, and quality automation. Know where your data comes from and trust it.
AWS, GCP, Azure — we design and implement cost-effective, secure, and scalable infrastructure for your data estate.
Monitoring, alerting, and incident response. Keep your pipelines running and your data team sleeping at night.
Turn data into decisions. Real-time dashboards, ad-hoc analytics, and embedded intelligence that drive action across your organization.
▸ Real-time KPI tracking
▸ Self-service analytics for business users
▸ Embedded intelligence in operational apps
Beautiful, performant dashboards that tell stories. Built for your audience, from executives to operators.
Enable your team to explore data independently. SQL training, self-service tools, and analyst support to answer new questions fast.
Scheduled reports, alerts, and automated workflows that keep stakeholders informed without manual effort.
Intelligence built directly into your products and applications. Give your users insights without leaving their workflow.
What to measure and why. We help leadership teams design metric trees, north-star definitions, and measurement plans.
Machine learning and LLM systems built to ship — not to demo. Every model is evaluated, monitored, and tied to a business outcome you can measure.
▸ Models in production with continuous monitoring
▸ Measured business impact, not vanity metrics
▸ Responsible AI practices baked in
Retrieval-augmented systems for document search, extraction, and assistance. Evaluated rigorously — not vibes-tested.
Time-series and probabilistic models for inventory, revenue, and capacity planning. Calibrated to your operational reality.
Models for routing, scoring, ranking, and personalization — with feature stores and monitoring built in.
Model registries, CI/CD for ML, drift detection, and incident playbooks. The boring infrastructure that keeps AI honest.
Where AI helps, where it doesn't, and what your data needs to look like first. Clear-eyed advisory for leaders.
A focused 2–3 week engagement to map your data estate, surface the highest-leverage opportunities, and produce a costed roadmap. The fastest way to know what's possible.
Project-based delivery for a defined platform, dashboard, or AI system. We architect, build, and hand over — with documentation and training included.
An ongoing engineering and analytics partnership. We sit alongside your team, deliver on roadmap, and grow your internal capability over time.