The AI-native data platform

From zero to AI analytics by Monday.

Lakehouse, pipelines, and dashboards are built‑in. So are the AI agents that run it. Centralize your data, ask questions in English, and ship full data apps — all in one place.

Schedule a demo →Try Definite free

Salesforce⇌

HubSpot⇌

Stripe

Postgres

Attio⇌

Slack

*Any API

● Live

Lakehouse184M rows · live

Pipelines12 syncing now

Semantic layer47 metrics defined

AI agentsFi · MCP · Claude

Data apps→

dashboards · tables · flows

Ask Fi→

question → answer in seconds

Agents

Claude · Cursor · MCP

500+ sources

One platform

Every workflow

§ 01 — Integrations

Plug in everything.
Leave nothing behind.

500+ native connectors. If it has an API, Definite already speaks to it.

stripe

hubspot

salesforce

attio

slack

Google Sheets

postgres

supabase

Shopify

Intercom

Mixpanel

Segment

stripe

hubspot

salesforce

attio

slack

Google Sheets

postgres

supabase

Shopify

Intercom

Mixpanel

Segment

stripe

hubspot

salesforce

attio

slack

Google Sheets

postgres

supabase

Shopify

Intercom

Mixpanel

Segment

Google Ads

Meta Ads

LinkedIn Ads

TikTok Ads

Klaviyo

Marketo

Zendesk

NetSuite

QuickBooks

Airtable

Jira

GitHub

Google Ads

Meta Ads

LinkedIn Ads

TikTok Ads

Klaviyo

Marketo

Zendesk

NetSuite

QuickBooks

Airtable

Jira

GitHub

Google Ads

Meta Ads

LinkedIn Ads

TikTok Ads

Klaviyo

Marketo

Zendesk

NetSuite

QuickBooks

Airtable

Jira

GitHub

§ 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.

acme.definite.app/apps/loan-portfolio

Synced · 2m ago

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?"

§ 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

ready · mcp://definite

live

ChatGPT

ready · mcp://definite

live

◉

Cursor

ready · mcp://definite

live

◉

Custom agent

via SDK

live

§ 04 — Data apps, not dashboards

Apps that do things BI can't.

Custom visualizations. Bespoke data-heavy applications. Sub-second search across millions of rows, right in the browser.

01 · Custom vizFully custom to the use case

Global Revenue · by country · live

● LIVEQ3 2026

GlobeFlatHeat

8 regions · 59,126 customersclick or hover a node →

Detail · Country

United States

Revenue

$4.82M

↑ +12% QoQ

Customers

18,402

active 30d

Top products

Core Plan62%

Pro Plan27%

Enterprise11%

Drill to cityCompare →

02 · Component editsEdit one chart with the agent. Leave the rest alone.

Revenue cockpit · Q3 cohort

Revenue by month

Last 12 months

peak $104K

Channel mix

by source

Direct44%

Partner28%

Paid18%

Referral10%

New ARR · Q3

$1.24M

↑ +18.2% vs Q2

Cohort retention

12-week window

W1262%

W0874%

W0482%

W0196%

Fi · editing one component

You selected Revenue by month. Other charts are untouched.

ready

03 · Browser-native speedSub-second search across millions of rows.

DuckDB-Wasm · client-side

Rows in browser

4.2M

loaded from lakehouse

Dataset size

318 MB

parquet · columnar

Round trips

no server query

Query latency

—

p50 over session

Ask in plain English — “Pro users in the US seen this week”

⌘K

USER_IDEMAILNAMEPLANGEOARRLAST_SEEN

usr_af812sarah.k@acme.comSarah KimProUS$2,4002026-10-14

usr_af811m.chen@acme.comMarcus ChenProUS$2,4002026-10-14

usr_af810r.patel@globex.ioRavi PatelTeamIN$2502026-10-14

usr_af809a.kowalski@nova.coAnna KowalskiBizPL$1,8002026-10-13

usr_af808s.nakamura@kore.jpSora NakamuraTeamJP$2502026-10-13

usr_af807d.okafor@terra.ngDaniel OkaforProNG$2,4002026-10-13

usr_af806l.santos@lumen.brLucia SantosFreeBR—2026-10-12

Showing 7 of — · page 1 / —exec: duckdb-wasm v1.3 · zero network

“Most BI solutions require entire data teams to build warehouses and pipelines. With Definite, we were up and running in one day”

Aditya Sarkar

Co-Founder at Lean

§ 05 — The collapse

Five tools, four bills,
one unanswered question.

The modern data stack was an accident of history. Definite folds it into a single AI-native platform — with one login, one bill, and one source of truth.

— Before

The patchwork stack

Fivetran

ETL · $24k/yr

Snowflake

Warehouse · $80k/yr

dbt

Transformations · $12k/yr

Looker

BI · $48k/yr

Mode

Analytics · $18k/yr

~$182k/yr · 5 contracts · 3 engineersT+ 6 months

→

— After

One platform.

Ingestion

500+ connectors, native CDC

Data lake

Columnar, cheap, fast

Transformations

SQL + versioned models

Apps & dashboards

Where answers live

Fi, the AI analyst

Writes queries, builds charts

Starts free · 1 contract · 0 extra hiresT+ this afternoon

§ 06 — Pricing

Pay for answers.
Not seats, rows, or cores.

Credit-based pricing. You pay for queries run, connectors used, and agent time — nothing else. Starts free; scales with you.

See full pricing →

Growth

Free

2 users · 2 connectors · Fi AI assistant

Platform

$250/mo

Unlimited users · 500+ connectors · API

Enterprise

Custom

SSO · SOC 2 · dedicated support & SLA