Trusted answers on the warehouse—not another six-figure science project.
Building for mid-size by design — we exist to bring governed, self-serve warehouse answers to teams that should not need a six-figure investment to get there.
Where we started
That team was buried in ad hoc reporting and one-off asks. Every initiative to “do more with data” collided with the same constraints: thin capacity, fragile context, and tools that were never meant to carry the weight of how the business actually runs.
We wanted to help them accelerate insight and decision-making in a way the whole leadership team could trust—not a demo tuned for a board deck, but something that could sit under real AI workloads later.
The gap we saw
Serious answers on governed warehouse data were routinely quoted on the order of a hundred thousand dollars a year—before the hard work of adoption, iteration, and proving value in production. For a mid-market operator, that is often the end of the conversation.
Our bet: the right architecture, delivered as a product, should make that class of capability accessible at a fraction of the cost—without asking companies to trade away governance, security, or the credibility of their data team.
What we brought to life
Fabric is a dedicated answer layer on your warehouse: plain-language questions, definitions that match how you operate, and controls your data team can stand behind. We are intentionally focused—less surface area, more depth on the path from question to trusted answer.
Product + delivery
We pair the software with hands-on rollout so pilots turn into habits—not shelfware after a flashy kickoff.
Foundation for AI
When models sit on messy semantics and one-off SQL, adoption stalls. We care about the substrate: metrics, permissions, and answers leadership can repeat.
Where we are headed
Our mission is to earn the right to consolidate a meaningful share of a mid-sized company's software spend—by replacing brittle, expensive patterns with something that drives revenue and efficiency together. We want data teams back on strategic work that compounds: new initiatives, better forecasting, and safer AI adoption with an executive team that is not flying blind.
Budget that breathes
Shift spend from duplicate tools and manual rework toward answers the business uses every week.
Revenue & efficiency
Surface the questions that move margin, throughput, and customer outcomes—not just charts.
Strategic data teams
Free analysts from ticket queues so they can own definitions, quality, and the next layer of insight.
AI adoption you can defend
Give leadership a governed layer to augment—not replace—the people who know the business.
How we think about the team in the room
The system we are building is meant for an executive team augmented by a data team—not a black box that bypasses them. Executives need defensible narratives; data teams need ownership of metrics and guardrails. Fabric sits in the middle.
Executives & operators
- Self-serve answers in plain English, tied to how you measure the business
- Less waiting on one-off reports when the question is urgent
- A credible path toward proactive signals as the layer matures
Data & analytics
- Definitions and permissions that reflect real roles—not generic role templates
- Room to iterate on logic without rebuilding the entire stack
- Air cover for AI initiatives that need an audit trail and a single source of truth
We are only a few months into the journey, so we are honest about what is live today versus what we are building toward—including richer proactive insight as usage and trust compound.
From days-long BI turnaround to trusted answers in seconds—how one team put Fabric on their warehouse and gave branches self-serve clarity.
