Grounded Knowledge Answer Engine
An AI assistant that responds using only your own material, links every reply to its source passage, and says plainly when the answer is not there.
A single analytical data store where product, payment and marketing numbers reconcile, with tested models and documentation produced automatically from the code that defines them.
01 / Overview
Most disputes over reports are really disputes over what a word means, because each department builds its figures from a separate export. We set up a managed analytical database, ingest your sources on a fixed schedule and model them in code, so a definition like active customer is agreed once, versioned and protected by a test that fails as soon as the underlying data changes. The result supports your reporting now and gives any later AI initiative a trustworthy foundation to build on.
02 / Deliverables
03 / Fit
Ideal for
What we need from you
You share these through the technical brief in your dashboard after checkout.
04 / Outcomes
One agreed number for each metric, defined in code and protected by tests
Problems upstream appear as a failing test rather than a complaint from a customer
Analysts spend their hours interpreting data instead of assembling it
This is a remote engineering service, so nothing is shipped physically. Work is delivered into systems you control. Read delivery & handover and refunds & cancellation for the full terms.
An AI assistant that responds using only your own material, links every reply to its source passage, and says plainly when the answer is not there.
Leadership dashboards built on governed queries and agreed metric definitions, designed around the small set of monthly decisions your senior team genuinely needs to make.
Managed, observable data workflows with sensible retries, alerting and backfills, taking over from the forgotten timed scripts that your reports depend on without anyone noticing.
An evidence-based answer on whether your existing data can support the predictive model you are considering, delivered before you commit budget to building it.
Choose a published service, or describe the problem and we will point you to the right starting place.