$250M+
Revenue closed won by Fluint users
$28K
Average increase to ACV
38
Days cut from sales cycle time
Used by Teams Like:
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One AI hire to get the highest-value work done.

AI was supposed to free up the humans to do the truly strategic work. But if we’re honest:

Leaders are spread thin across
40+ deals

RevOps is sifting through a backlogof 100+ requests

Enablement ships a new playbook… that nobody uses

Revenue teams don't need more tools: they need a chief of staff. One person who can work across every GTM role, and make what should be happening… actually happen.

Use cases

Olli finds exactly what works in your GTM, then executes it across every GTM role. (Without you having to ask or remind him.)

01

AI Deal Review

Olli surfaces and fights deal risk before reps even know it's there. Spotting patterns in a dedicated ML model built on your win data, plus 150K+ similar cycles.

02

Sales Onboarding

No more asking your top reps to do “ride alongs” with new hires. Olli onboards reps in weeks vs. months, with a Living Playbook built on your biggest wins.

03

Sales Coaching

Olli models out exactly what your top reps do differently, then pushes those paterns to every other rep. While spotlighting major gaps to your leaders.

04

Sales Execution

Olli runs proactive plays to cut slipped and stuck deals, with pre- and post-meeting work done. All the stuff nobody has the time or creativty for, handled.

05

Sales Tool Adoption

Cut the tools that don't do the work. Olli replaces or integrates your stack, then shows up where you already work: Slack, your CRM, Claude, and more.

01

04

What our customers are saying

Smiling woman with long light brown hair wearing a black top against a blurred outdoor background.

Samantha P

From what I’ve seen, there’s really no better resource than Fluint right now for supporting your buyer through a complex buying process.

Smiling man with short hair wearing a dark blazer and a checkered shirt against a plain background.

Chris B

I bet my career on Selling With and rolling out Fluint in front of our board. We’ve been all in, and it’s paid off, big time — including our largest deal in company history.

Headshot of a young man with dark hair wearing a white shirt and dark jacket, standing outdoors in an urban setting with blurred buildings in the background.

Julien B

Fluint helped me triple the size of a deal we just closed last month, the biggest of my year. We expected it to take 12 - 15 months to close it. Did a 7+ figure deal in 9 months.

Smiling man with short hair and beard wearing a light green collared shirt standing outdoors in an urban setting.

Matt G

We have a bunch of tools, but none of them have had a bigger impact on our GTM efforts than Fluint. And it's not even close.

Compare

Fluint vs the competition

Compare Fluint to stuff that sounds good, but doesn't win upmarket

Revenue Intelligence
(Gong, Clari, Sybill)
Deal Rooms
(Dock, Accord, Attention)
Generic LLMs
(ChatGPT, Claude, Gemini)
Built for:
Call analysis
Buyer collaboration
General-purpose content
Pipeline forecasting
Post-demo resource hubs
Writing + summarizing
Manager coaching
Shared plans
Manual context setup
What It Replaces:
Call notes
Shared folders
Email drafts
Coaching docs
Static plans
Summary docs
Forecast spreadsheets
Buyer onboarding templates
One-off research
Who It Helps:
Sales managers
AEs & buyers
Marketers and ops
RevOps (some rep benefit)
CSM for post-sale
Not built for GTM execution
Enablement teams
Content creators
Why It Wins:
Strong visibility
Looks buyer-friendly
Flexible, but disconnected
Good for coaching
But rigid & generic
Requires constant prompting
Delayed impact
Doesn’t evolve with the deal
Not sales-native
Reactive not proactive
AI-Native:
Retrofitted AI layered on top of call data and dashboards
Light AI used for writing or task suggestions
AI-first but not sales-aware
Not deeply integrated
Lacks pipeline visibility or sales training

Got questions? We got you.

Scan some quick answers here, or book a time to chat 1:1

How is Olli different from HockeyStack?

HockeyStack deploys a fleet of agents. One per deal, one per account, plus separate manager and analyst agents. Olli is a single agent that handles deals, accounts, and rollups out of one model and one memory. The patterns compound across everything Olli sees, not split across a swarm.

The starting points are also different. HockeyStack came out of marketing attribution and is built around event-stream data. Olli is built around closed-won deal patterns and judgment in the field. Different products for different jobs.

How is Olli different from Sybill?

Sybill is an AI sales assistant built for AEs. Strong on call summaries, CRM autofill, follow-up email drafts, and pre-meeting briefs. Olli does that work too. But the center of gravity is different.

Sybill is in the rep's inbox. Olli is in the Office of the CRO. Surfaces risk before the rep knows it's there. Runs plays the rep didn't think to ask for. Rolls impact up to RevOps and leadership. Sybill makes reps faster. Olli makes the whole revenue org sharper.

How is Olli different from Gong?

Gong records and analyzes conversations. Excellent at it. The output is mostly intelligence: dashboards, coaching clips, forecast inputs. Olli starts where Gong stops.

Olli takes the patterns across calls, deals, and motions and executes against them. Pushes the play. Writes the multithread. Surfaces the deal going quiet for a real reason. Most Olli customers already have Gong. They keep both, or they collapse the stack.

How is Olli different from Attention?

Attention is a multi-agent platform with coaching, forecasting, and follow-up agents you configure. Configuration-heavy. Scorecard-led.

Olli works the other direction. One agent, no configuration. Reads your data, trains on your closed-won, and starts running. Day one. The judgment comes from the model, not from you wiring up scorecards.

What is AI deal execution?

AI deal execution is the mid-funnel work that closes complex deals. Surfacing what's at risk. Running the plays that move stuck pipe. Multithreading the right contacts. Briefing executives. Writing the business case a champion can carry internally. The work most reps don't have time to do well, and most AI doesn't do at all. Olli is the AI agent purpose-built for it.

What does Olli do day one?

Reads your CRM, your call recordings, your enablement library, your last quarter of QBRs, and your win-loss data. Trains a private ML model on your closed-won. Surfaces the at-risk deals before the rep flags them. Most teams see the first plays running by end of week one.

Still have questions?

Let's dig into your use case live. We'll make sure you leave with clear answers:

Olli AI Sales Agent

Ready to put Olli to work?

Start in the sandbox. Try Olli on a real deal, no long setup or demo required.