Meet Fi

Your data analyst,
working 24/7.

Fi isn't an AI feature bolted onto a legacy BI tool. She's built into the stack — answering questions, writing SQL, shipping dashboards, and remembering every query since day one.

fi · ask anything
What drove the MRR bump last month? Build a dashboard I can share.
fi · thinking
Queried mrr_monthly · 14 rows
Found lift from Pro → Team upgrades (+$38K)
Secondary driver: EMEA expansion (+$12K)
Built dashboard: definite.app/d/mrr-q3
§ 02 — Fi, the AI analyst

Ask a question.
Get a data app.

Not a dashboard. Not a chart. A full application — sidebar, filters, KPIs, tables, and an inspector that explains every number.

fi
 
acme.definite.app/apps/loan-portfolio
Synced · 2m ago
Share
Loan Portfolio
Fintech · Production
Views
Filters
Search filters…
● Dark○ Light
Fi is building your app
connectors
schema · loans, borrowers, payments
writing 4 queries
laying out app
Full apps, not charts
Fi builds sidebar, filters, KPIs, tables — not a single chart.
Every number is auditable
Click any chart to see summary, facts, breakdown, and the SQL behind it.
Ask about this
An inspector chat on every element. No more "what does this mean?"
§ What makes Fi different

Not another AI chatbot.
An entire data team.

Built AI-native from day one, not retrofitted onto a decade-old BI tool.

01
Full stack access

Fi reads your warehouse, writes to the semantic layer, builds dashboards, and kicks off syncs. Not a read-only chatbot.

02
Complete memory

Every chat, query, dashboard, import, and sync since day one. Reference "last month's revenue analysis" and Fi knows exactly what you meant.

03
Built on your metrics

Fi queries the semantic layer, not raw tables. Numbers stay consistent across every answer, dashboard, and export.

04
Beyond Q&A

Ask once, get a dashboard. Paste an email, get a report. Fi ships work product, not just text replies.

05
Governance built in

Row-level security, audit trails, and permissions apply to every Fi query. Your CFO trusts the numbers she ships.

06
Always on

Fi works in the background — monitoring syncs, flagging anomalies, and keeping your dashboards fresh without being asked.

§ 03 — Model Context Protocol

Your data,
in your agents.

Definite speaks MCP natively. Point Claude, Cursor, or any agent at your warehouse — they'll get schema, lineage, and semantic context automatically. No glue code, no scraping, no guesswork.

Schema & lineage
available to any MCP client
Row-level security
permissions travel with the data
Semantic layer
metrics defined once, used everywhere
Connected agents
Claude
Claude
ready · mcp://definite
live
ChatGPT
ChatGPT
ready · mcp://definite
live
Cursor
ready · mcp://definite
live
Custom agent
via SDK
live

Your answer engine
is one afternoon away.

Book a 30-minute call. We'll build your first dashboard on the call — or you can stop paying us.