Solutions

AI Analytics That Goes Company-Wide

Most AI analytics initiatives stall because the data layer wasn't built for them. Definite ships the governed foundation and the AI agent together so your team gets answers it can actually trust.

§ Live with
§ 01 — Benefits

The Foundation and the AI Ship Together.

One integrated system — ingestion, semantic layer, and AI agent — so the governed data layer and the transformation arrive at the same time. No stack to assemble first. No pilot that waits on infrastructure.

01
AI that does the work, not just the talking
Fi builds dashboards, sets alerts, and runs analyses on governed data. It doesn't just answer questions. It acts on them.
02
Central context every AI answer draws from
Define revenue, conversion rate, and active customer once. Every answer Fi gives pulls from that same definition. No more confident wrong answers at scale.
03
No stack to assemble before AI can run
Ingestion, storage, modeling, and AI are all in one system. There is nothing to wire up before the transformation starts.
04
Live in days, not after a six month implementation
The foundation and the AI arrive at the same time. You don't wait for infrastructure before the first result.
§ 02 — How it works

This Is What Getting Set Up Actually Looks Like

Step 01
Connect every source your business runs on
Salesforce, HubSpot, your databases, and your finance tools connect via managed extractors or direct database connections. Every source your AI needs to reason over lands in one place — no custom pipelines, no fragile integrations to maintain.
Step 02
Everything lands in one governed system
All your data syncs into Definite's built-in data lake with AI integrated throughout. One source of truth. No stitching a warehouse, ETL layer, and BI tool together before you can start — the foundation is already there.
Step 03
Define your metrics once — and trust them everywhere
Build your semantic layer: revenue, conversion rate, and every other metric your business runs on. Once defined, every AI answer draws from the same source. The "whose number is right" debate ends the first week.
Step 04
The AI agent builds what your team needs
Ask Fi to build a dashboard, set an alert, or run an analysis in plain language. The agent builds from your governed metrics — so every output is trustworthy, not just fast. Business leaders get answers directly. Analysts get leverage, not a queue.
Step 05
AI analytics reaches everyone, not just analysts
Schedule reports to Slack or email. Non-technical leaders self-serve directly. The transformation goes company-wide without a training program — because the AI handles the complexity, not the user.
§ Integrations

Connect the sources your AI analytics needs to run on

Definite connects directly to your CRM, databases, and finance tools — the data your business actually runs on.

Salesforce
Salesforce

Pull accounts, opportunities, and pipeline to power revenue reporting.

Hubspot
Hubspot

Sync contacts, companies, deals, and email events. Prebuilt lifecycle analytics.

PostgreSQL
PostgreSQL

Connect and analyze data from PostgreSQL with Definite.

Microsoft SQL Server
Microsoft SQL Server

Connect and analyze data from Microsoft SQL Server with Definite.

MySQL
MySQL

Bring your MySQL data with automatic schema detection and historical loads.

NetSuite
NetSuite

Connect and analyze data from NetSuite with Definite.

“People can now have a direct relationship with their data. My team gets to focus on higher-value work.”
Omar Mussa
Omar Mussa
Director Credit Strategies at Sunlight Financial
Sunlight Financial logo
§ 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
§ FAQ

Questions, answered.

Adding AI on top of an existing stack means the AI is reasoning over inconsistent, ungoverned data. It returns confident answers that are often wrong. Definite ships the governed foundation and the AI together so every answer draws from one trusted source.
Most AI analytics tools fail because they assume the data layer is already clean and governed. It never is. Definite solves that problem first. The semantic layer means every metric is defined before the AI ever touches it.
Because the architecture wasn't ready. Fragmented sources, inconsistent metric definitions, and no governance layer mean AI returns plausible but ungoverned answers. Teams lose trust and the initiative gets tabled. Definite removes those conditions before the AI runs.
No. Fi is designed for business leaders, not analysts. Ask questions in plain English and get answers back in seconds. If you have analysts on the team, they can go deeper with SQL and the semantic layer — but neither is required to get started.
Most teams connect their first source and start getting AI-built answers the same day. A full deployment — sources connected, semantic models built, AI agent configured, dashboards live — typically takes days. There's no separate infrastructure to provision: the data lake, semantic layer, and AI agent are all in one product.

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.