The full stack of modern data work.
Senior analysts and engineers, paired with AI-native tooling. Pick one capability or combine them into an end-to-end engagement.
AI-Leveraged Data Enablement
Ship AI that answers your real business questions.
We configure language models to deliver data insights within your existing architecture. That includes building and tuning the semantic layer so AI asks the right questions of your data, not just any questions.
- LLM configuration for data insights
- Semantic layer design and tuning
- Integration with existing data stack
- Modern data platform migration support
Stakeholders ask questions in plain English and get accurate, SQL-backed answers.
Data & AI Strategy
A plan that survives contact with reality.
Most AI initiatives stall because they focus on technology and ignore everything else. We build strategy around four pillars: people, process, platform, adoption.
People
Build data literacy and AI fluency at every level.
Process
Find manual work that costs you time and automate it intelligently.
Platform
Choose, implement, and integrate tools that fit your business.
Adoption
Tools only work if people use them. Change management from day one.
- Current-state assessment
- Roadmap with measurable milestones
- Platform selection and RFP support
- Change management and adoption plan
A 90-day plan with named owners, not a 100-page deck.
Analytics Engineering
Models your team can trust and extend.
High-quality data pipelines and transformations, built with technical expertise and AI-assisted development. Every model is tested, documented, and reviewable.
- dbt models and transformations
- Data quality tests and monitoring
- Semantic layer and metric definitions
- AI-assisted development workflows
Clean, tested models. A repo your team can own after handoff.
Data Infrastructure + Analytics
Modern data stack, shipped in weeks.
End-to-end solutions spanning infrastructure, data warehouse migrations, and modern analytics stack implementation. We lean hard on AI tooling to compress traditional timelines.
- Warehouse setup and migrations (Snowflake, ClickHouse)
- ELT pipelines (custom or managed)
- BI implementation (Omni, Hex, Looker)
- Embedded analytics for your product
A production data platform with decision-grade dashboards in your first quarter.
Not sure which fits?
Most engagements combine two or three. The intro call is the fastest way to map your needs to a concrete plan.
Book a 30-min intro