See the state of the business on numbers everyone trusts.
Tiles and charts drawn from your warehouse, wired to your team's definitions, not a vendor's. You author the query shapes once; everyone else varies the values.
One job in your business, done properly: the fit of a bespoke build, on shared infrastructure that ships it in days.

Off-the-shelf makes you bend to its model. Building from scratch is slow to ship and expensive to keep.
Every data app does one of a handful of jobs. Most combine two or three. Here's the vocabulary.
Tiles and charts drawn from your warehouse, wired to your team's definitions, not a vendor's. You author the query shapes once; everyone else varies the values.
A chat or canvas surface where anyone composes the question, with guardrails baked in: cost caps, row limits, timeouts. The answer that would otherwise sit in a queue.
| Order | Customer | Stage | Owner |
|---|---|---|---|
| #4021 | Harbor Supply Co | Shipped | AL |
| #4022 | Cedar & Vine | Packed | MR |
| #4023 | Northwind Traders | Picking | JP |
| #4024 | Atlas Mercantile | Delayed | KD |
Whole records your app authors and owns: intake, status, owners, handoffs. The fragile spreadsheet becomes a repeatable, multi-user process with the numbers reconciled.
Editable grids and review queues with an audit trail: a person’s fix, an AI-proposed enrichment, a merge across systems. You own the corrected attribute; the record still lives upstream.
Approval gates and writeback to your CRM, warehouse, or ops tools, every action captured in a run log: the last mile where analysis becomes outcome. The system of record stays theirs.
A read-only dashboard people screenshot into slides.
An app your team acts in: edits, writeback, the next step taken in the same place.
Monitor + ActA spreadsheet one person maintains and everyone else is afraid to touch.
The same logic as a repeatable, multi-user process, versioned, with the numbers reconciled.
Create + MonitorData locked behind an IT queue.
A governed layer the business can query and build on, with the guardrails IT needs still in place.
AskA sample of the data apps we've built. Each one runs on the client's own infrastructure, against their own data.
AI lead generation plus self-service data apps
Monitor + Create + Act10k+ target leads per week; non-technical teams now build their own apps.
AI tied directly to commercial outcomes
Act as a P&L leverProjected multi-million-dollar annual margin improvement.
Pricing intelligence for a lean, high-volume ops team
Monitor + ActAsync-first delivery on a two-day weekly cadence.
A mature warehouse turned into leverage the business can act on
AskUnrealized analytical leverage made usable.
A platform builds whatever you spec — which is also how you ship a quicker version of the wrong thing.
Fast, secure, production-ready. That's the easy part.
Scoping against your P&L, spotting what to retire, re-imagining the work now that AI changed what's possible. That's the part that pays off.
Four things that are true of every build, before we start talking about yours.
Apps read from your systems, and everything they produce is exportable back to you. The source of truth never moves.
Every app is a codebase you own. If you outgrow us, you keep it.
Isolated per customer, with role-based access, autoscaling, and observability. No DevOps oncall for your team.
AI writes the code, humans review it. That is where the speed comes from.
Pick the engagement that fits where you are. Most teams start with a half-day Executive Alignment Workshop or a two-week Discovery Sprint.