About Fluint
Everyone has a theory about what wins deals. We built the context layer that proves it.
Revenue teams are putting AI into every part of the funnel, but most of that AI runs on raw records and a playbook somebody wrote two years ago. So we built Fluint to engineer context from what actually closed, and then put it to work with your reps and agents.
Why we exist
Most GTM decisions get made on opinion. Your data could settle them, if someone did the data science.
Leadership says it was the relationship, the rep says it was the demo, and your LLM will happily agree with both of them. The data to settle it is already sitting in your CRM, your call recordings, and your inbox, but turning it into an answer takes connectors, entity resolution, a time-series store, and a model for each sales stage.
By our own estimate that's 35 to 40 engineer-weeks before you run your first project (we know, because we built it). Which means most teams keep running the playbook they've always run, and now they're feeding it to their agents too.
We started Fluint so RevOps and Enablement could know for a fact what's working in their GTM, and get their people and agents doing more of it.
By our own estimate that's 35 to 40 engineer-weeks before you run your first project (we know, because we built it). Which means most teams keep running the playbook they've always run, and now they're feeding it to their agents too.
We started Fluint so RevOps and Enablement could know for a fact what's working in their GTM, and get their people and agents doing more of it.
What We Built
Loop engineers your context from the deals you've won and lost.
Loop does three jobs:
Prove it
We do the messy data work. Your CRM, calls, email, calendar, and Slack land in one time-series history, matched to the right deal. Then your private model compares deals where a behavior happened with similar deals where it didn't, and ranks each predictor by how much it moves your win rate, for every segment and stage.
Deliver it
The Context MCP serves the same briefs, predictors, and plays to Claude, ChatGPT, Cursor, or your own agents, with the deals, calls, and emails behind every answer. It's one connection, and it follows the permissions in your source systems.
Do it
Each top predictor becomes a play your reps can run. Or hand it to a proactive agent, which watches every open deal and drafts the step when one drifts off the path your best deals took. The rep reviews it and sends.
And every play your team runs (or skips) goes back into the model overnight, so predictors re-rank, plays re-order, and agents adjust to how your buyers are behaving this quarter.
Our Approach
We built the hard infrastructure first, then the agents.
We started with the unglamorous parts: connectors, entity resolution, point-in-time snapshots, a model for each sales stage, and retraining as deals close. So under the hood, Fluint looks a lot like a data platform. It sits underneath the agents and tools your team already uses, and gives all of them the same proof to work from.
Private by default
Every customer gets their own model, trained only on their own deals. Your data and weights are never shared with anyone else.
Closed-loop
Every play and agent is measured against similar deals it didn't touch. Every closed deal retrains the model overnight.
Rep in the Loop
Agents draft by default, and reps review and send. Nothing goes out on its own unless you turn that on.
Open delivery
MCP and REST, with no proprietary SDK. Swap AI vendors, and your context comes with you.
Built by people who've scaled engineering and revenue systems.
Nate Nasralla & Jon Crawley, Co-Founders / CEO & CTO
Jon built and led architecture teams at JumpCloud, where he managed 500+ developers and shaped the DevOps practices that scaled the platform through hypergrowth. Nate built and scaled enterprise sales teams, and wrote Selling With and Brief & Brilliant about how complex deals actually get bought.
Fluint came out of a pattern we both kept seeing, where revenue teams hit the same wall engineering teams hit a decade ago: lots of tools, lots of activity, and no reliable way to test what's working before you scale it. We built Fluint to run that test on your own deals.
See what's actually winning in your deals.
Start free. Connect Salesforce and your call recorder, and you'll see your first predictors in one session.