Data Agents
Read connected sources where they already live. No migration, no schema work.
RAWConnect all your data. Agents run overnight. Read one page at 6 AM, or open the app to dig deep.
UNDER THE HOOD
Four stages. Each one keeps less than the last. You never operate it.
Read connected sources where they already live. No migration, no schema work.
RAWFind the metrics that matter. Write the narrative. Forecast forward.
PATTERNSDrivers, cross-metrics correlations, and one next question with a name on it.
DRIVERSEvery brief in the workspace, synthesised into one daily lead.
ONE PAGEWhere it lands
All you actually touch. One to read, one to check, one to ask.
What moved overnight, ranked, in plain language — with the one question worth asking today.
INBOXPin charts from agents, drilldowns, or chat into views you build.
LIVEAsk in plain English across connected sources (multi-source supported).
ON DEMANDOPTIONAL CONTROLS
Set once, then left alone. Swappable models, outside data, and a record for every run.
Assign different models per task. Use platform models or bring your own keys.
ANY MODELEnrich your insights by adding outside market and competitor signals beside your own numbers.
OUTSIDE INPlug in any data source. That’s it.
Each AI Agent automatically surface 50+ metrics from your data with forcasts and narratives generated for important metrics. No setup. No manual metric definition.
Agent outputs merge into decision briefs and one Big Picture report with drivers, correlations, and what to ask next. Delivered at 6 AM in plain language. No dashboards. No queries.
Add more datasources. Activate specialised agents. Every addition sharpens the picture.
From the CEO to the frontline. One platform, every level of the business.
WHY IT WORKS
Observe everything. Decide later what matters
Traditional BI captures the metrics someone thought to include. Our system connects to your data and surfaces every measurable signal it contains - 50+ metrics generated automatically, including dimensions & relationships no analyst thought to define. The signals that no one was watching are often the ones that matter most.
Prediction is scientific act, not a feature
In science, a model is only meaningful if it makes explicit, testable predictions. We apply this standard to every metric we discover - not just the ones that seem important in advance, but all of them. Every signal gets a forecast. Every forecast is stated before the outcome arrives.
Data doesn't speak. Understanding does
A scientist doesn't end with a table of measurements. They end with a coherent explanation of what the data means, why it matters, and what it implies about the future. Our system does the same. It synthesizes signals into plain-language narratives about what is happening in your business and where it is headed.
Connect all your datasource. Databases to Spreadsheets to Documents.
Everything your sources contain, measured daily.
Everything measured, explained daily.
Everything measured and explained consolidated one clear report for directions.
Set once, then left alone. Swappable models, outside data, and a record for every run.
See the brain activity of your company.
Discover an insight that surprises you.
You walk into every meeting knowing more than anyone in it.