We’re a consulting firm. For nearly three decades we’ve sat alongside clients — in their meetings, with their data, inside their processes — to make sure the decision at the end of the room has evidence behind it. Tools change every few years; the work doesn’t. Data without context is noise; our focus is the solution, not the stack underneath.
Three disciplines, one outcome: information that arrives in the right place, at the right moment, with enough context for someone to act on it. We consult on the solution — the technology underneath is whatever serves that goal best.
Numbers in the hands of the people who own a process — framed against the decision they are about to make, not the system they came from.
Data only becomes useful when it carries its context with it. We model that context — meaning, ownership, lineage — into the foundation everything else is built on.
AI applied where a business process needs a judgement made — a forecast, a classification, a recommendation — and where someone is accountable for the outcome.
Warehouses, lakehouses, LLMs — the stack is a means. A business outcome is the brief.
A number is useful only with the meaning, the moment, and the owner attached to it.
Insight that sits next to a workflow gets ignored. Insight that sits inside it gets used.
We were founded in 1996, the year the data warehouse went mainstream. The tools have turned over many times since — warehouses, lakes, lakehouses, ML, LLMs. Our work hasn’t. We’re still measured by one outcome: a decision a client could defend, because the data was there and it carried its context with it.
