A data app is custom software built for one job in your business: a dashboard your team acts on, a workflow that retires a fragile spreadsheet, a clean layer over data that used to sit behind an IT queue. We scope it, build it, and hand you the keys.
Off-the-shelf tools make you bend to their model. Building from scratch is slow and expensive to maintain. A data app is the third option: the fit of custom software, on shared infrastructure that ships in days for a fraction of a bespoke build.
Shaped to how your team works. Changed as fast as the business changes.
Multi-user, secure, versioned, and governed. It doesn't break when the person who built it leaves.
Your definitions, your workflow, your data. Software built around the business.
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.
We do both at once. The second part is where the value is.
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, fast — which is also how you ship a quicker version of the wrong thing. The value comes from re-imagining the work now that AI changed what's possible: the report that reads itself, the process that runs without the handoffs, the decision made where the data sits.
Fast, secure, production-ready. That's the easy part.
Scoping against your P&L, spotting what to retire, drawing the app around the new shape of the work. That's the part that pays off.
Re-imagining the work, not just running it faster, is the difference between using AI and operating with it.
The team decides what to build. The platform is how it ships fast and lands in production.
Apps work against data drawn from your systems. Anything the app produces (writebacks, custom tables, model outputs) is exportable back to you. The source of truth stays in your systems.
Every app is a codebase you own. If you outgrow us, you keep it: the app, the logic, and the data flowing through it.
Apps run on our infrastructure, isolated per customer. Role-based access, autoscaling, and observability baked in. No DevOps oncall for your team.
AI writes the code, humans review it. That's why a custom app ships in days at a fraction of a bespoke build's cost.
Pick the engagement that fits where you are. Most teams start with a half-day Executive Alignment Workshop or a two-week Discovery Sprint.
