USE CASE 05 · Private Model

Build a private AI model, trained on your revenue data.

the gap

Everyone's racing to bolt knowledge bases like Glean and Notion onto their LLM.

But knowledge and context graphs alone only retrieve what's already written down. They can't learn which patterns actually drive your revenue, because they don't train on the outcome.

STEP 1 · UNIFY

Unify your GTM data into a single pipeline, built for model training.

Fluint builds a unified data layer out of your CRM, conversation, email and revenue history. Cleaned, tagged, and structured as a time-series data store ready for training.

STEP 2 · TRAIN

Train a private, predictive model on your revenue outcomes.

Get gradient-boosted and small language models, trained on your closed-won history with private weights, to predict deal health and surface what drives your wins.

STEP 3 · MAINTAIN

Evaluated, retrained, and sharper every cycle.

Fluint evaluates model accuracy, catches drift, and retrains on new outcomes, fully managed, so you get production MLwithout standing up MLOps.

Start free

Run a guided POC

Explore

Where teams start.

Loop

Prove what your AI agents closed

Agent-to-revenue attribution for every action.

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Loop

Cut AI spend

Up to 70% fewer tokens via pre-enriched context.

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Loop / Context

Context for every agent

The context layer, delivered over MCP.

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Chat

Build your own sales agent

Ship a fully configured, white-labeled AI sales agent your reps trust, live in about a week.

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Ai for revops

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Questions about AI
for RevOps.

Fundamentals

What is AI for RevOps?

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How do I measure whether AI agents impact revenue?

Is my revenue data private?

Context & Cost

How does a context layer reduce AI token spend?

What is MCP and why does it matter for revenue teams

Can I buy a fully managed AI sales agent instead of building one?

Get Started

Get a private revenue model, fully managed

Start free, connect your stack, and Fluint starts building your private model on your data.

Start free

Build your assistant

Build a private AI model, trained on your revenue data.

Everyone's racing to bolt knowledge bases like Glean and Notion onto their LLM.

Unify your GTM data into a single pipeline, built for model training.

Train a private, predictive model on your revenue outcomes.

Evaluated, retrained, and sharper every cycle.

Where teams start.

Prove what your AI agents closed

Cut AI spend

Context for every agent

Build your own sales agent

Questions about AIfor RevOps.

Get a private revenue model, fully managed

Questions about AI
for RevOps.