We connect the systems your business already runs on, put the numbers in one warehouse, and build the dashboards, forecasts, and reports your team checks every morning.
Where the data lives now
Connect
We read each system on a schedule you can see and audit.
Reconcile
Duplicates, mismatched names, and missing fields get resolved before anything is counted.
Warehouse
One store holds the history, so last quarter is still queryable next year.
Publish
Dashboards, alerts, forecasts, and scheduled reports all read that one store.
The data path we build per client: the systems you already run across the top, the pipeline down the spine, and the dashboard your team opens at the end.
What we build
Not sure which one to build first? Tell us where the business is now and we send back a ranked build order.
Get your free growth roadmapOne screen with the numbers you actually run the business on, pulled live from the systems that already hold them.
Numbers that update while things are happening, plus alerts that fire the moment something moves outside the range you set.
Forecasts for demand, revenue, and churn built on your own history, with the error range shown next to every number.
Your team answers its own questions instead of queueing behind the one person who knows where the data lives.
Every system you run writes into one warehouse, so two reports on the same question stop returning two different answers.
The weekly report builds and sends itself, in the format each stakeholder expects, without anyone rebuilding a spreadsheet on Friday.
The whole business on one page for the people who only need the top line, with every figure clickable down to its source.
Spend, leads, and closed revenue in one view, so you can cut the channel that is not paying for itself.
Pipeline health, rep activity, and win rates in one place, so the forecast is built from data instead of optimism.
The AI work specific to your business, like document extraction or recommendations, wired into the systems your team already uses.
Not on this list? We build to spec.
How we work
We inventory every system holding your data, find where the numbers disagree, and settle the definitions before anything gets built.
We design the data model and mock the dashboards, so you approve the screens and the metric definitions before we wire a pipeline.
We build the connectors, the warehouse, and the dashboards, then demo them weekly against your real data instead of sample rows.
We go live, train the people who open it daily, and keep the pipelines running as your source systems change under them.
It depends on how many systems have to be connected and how clean they are. A focused dashboard on one or two tidy sources is usually 2 to 4 weeks. A BI platform with a warehouse behind it runs 4 to 10 weeks. Predictive model work runs longer, because it starts with cleaning history. You get a specific timeline during discovery, before any commitment.
Scoped per engagement. Price follows the number of source systems, the state of the data inside them, and whether you need dashboards, a warehouse, models, or all three. We quote after a discovery call rather than publishing a number that would not apply to you.
Databases such as Postgres, MySQL, and SQL Server. Cloud apps such as Salesforce, HubSpot, Shopify, and QuickBooks. Warehouses such as Snowflake, BigQuery, and Redshift. Spreadsheets, scheduled CSV drops, and anything that exposes an API. If a system holds your data and lets us read it, we can pull it in.
No. For one or two sources we read them directly and skip the warehouse entirely. Once you need history kept, several systems reconciled against each other, or models trained on that history, a warehouse stops being optional, and we build it as part of the work.
That depends on how much clean history you have and how stable the thing you are predicting is, so we will not quote an accuracy figure before we have seen your data. We backtest every model against your own history, publish the error range alongside each forecast, and keep watching it after launch so you know when it starts to drift.
Encryption in transit and at rest, single sign-on, role-based access so people see only their own slice, and audit logging on who queried what. When you want the data to stay inside your own cloud account, we build it that way and run the pipelines there.
We host it, monitor it, and maintain it. When a source system changes its API or an overnight pipeline fails, that is ours to fix, not a ticket you file. Your data, configurations, and workflows are yours and exportable at any time.
Bring the systems you pull reports from and the question nobody answers the same way twice. We scope the pipeline, the warehouse, and the dashboard.
Scope my data system