AI business intelligence
Turn scattered data into decisions you can act on.
Custom dashboards and AI-driven insights that unify your data and tell you what is working, what is not, and what to do next, in plain language.
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Who it is for
Teams making decisions on gut and stale spreadsheets who want a clear, current view of the business.
What we build
Data unification and pipelines
Connect your sources, unify and clean the data, and make it ready for reporting.
Live dashboards
Visualize the metrics that matter with dashboards your team can trust every day.
Automated reporting
Send the right updates to the right people without manual spreadsheet work.
AI insights and anomaly alerts
Layer AI insight on top so the system explains what changed and what to look at next.
Simple forecasting
Use historical signals and current activity to support practical planning.
One trustworthy view
Give the team one current view of the business instead of stale spreadsheets and scattered reports.
How we work
Connect your sources, unify and clean the data, visualize the metrics that matter, then layer AI insight on top.
01. Connect
We connect the sources that matter across sales, finance, operations, product, and customer data.
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02. Clean
We unify, clean, and structure the data so the numbers are consistent and trusted.
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03. Visualize
We build dashboards and reporting around the metrics your team actually uses to make decisions.
04. Add insight
We layer AI insight on top so the system explains changes, anomalies, and next steps in plain language.
FAQ
How is AI business intelligence different from regular dashboards?
Dashboards show what happened. We add an AI layer that explains what changed, flags anomalies, and suggests what to look at next, in plain language. Instead of a wall of charts, your team gets answers: what is working, what is not, and what to do about it.
Which data sources can you connect?
Sales, finance, operations, product, and customer data. Typical sources: your CRM (Attio, HubSpot), Airtable, Stripe, spreadsheets, product databases, and support tools. We unify and clean the data first, so every number is consistent before it reaches a dashboard.
Do we need a data warehouse first?
No. Most seed to Series B teams do not need one on day one. We start with the sources you already have, structure the data properly, and add warehouse-grade infrastructure only when volume demands it. Foundation first, complexity only when it earns its place.
How long until we see working dashboards?
The first connected, trustworthy dashboard ships within the first weeks. We start with the metrics your team already uses to make decisions, connect and clean those sources first, then visualize them and layer AI insight on top, expanding from there.
Real-time visibility, faster decisions, and one trustworthy view of the business.
Book a discovery call