What we do

• Data pipelines, batch and real-time, moving data from your source systems to where it gets used
• Lakehouse and warehouse design and migration, so your data lives in one trustworthy place
• Data quality and observability, so you find out when the data is wrong, and why
• Streaming architectures that react to events as they happen, not at the end of the day

So you get: A data foundation that scales with you, and that your own team can trust and operate.

• Predictive models, taken from data audit through deployment to a model people actually use
• LLM applications: RAG, agents, document understanding, and internal tools
• AI built into your product, integrated rather than bolted on
• Straight answers about where ML will and will not help, with the reasoning to back it up

So you get: AI that solves a named business problem, running in production, owned by your team.

• Decision-support dashboards for the questions your leadership asks every week
• Analysis that leads to a decision, not a PDF that goes in a drawer
• One definition of the metrics that matter, so two reports never disagree
• Self-serve tooling your team keeps using long after the engagement ends

So you get: Decisions made on current data, by the people closest to the work.

• Data platform architecture, cloud, hybrid, or on-prem, sized to your real scale
• Data and AI audits: what you have, what it is worth, what to fix first
• Roadmaps your board and your engineers will both believe in
• Standing senior data and AI expertise on call for your team

So you get: A plan you can fund and defend, and a team to execute it.