Hire a Revenue Engineer with perfect memory.
Get a forward deployed (human) Revenue Engineer paired with a context graph of all your go-to-market data, at a fraction of the cost of one full-time hire.
Harborline · $120,000
Deal history, 6 changes your CRM overwrote
Mar 3
Deal created
Discovery · $80,000
Mar 21
Champion joined
VP of RevOps added to thread
Apr 9
Amount raised
$80,000 → $120,000
Apr 30
Close date pushed
Jun 30 → Jul 31
May 14
Risk raised on call
Buyer questioned pricing
Jun 2
Close date pushed again
Jul 31 → Sep 30
Claude and ChatGPT only see today. Deal gives them the history.
Ask an AI why a deal slipped and it can only read the current record. Connect it to Deal and it can read every change, call and email that led there, with the date and source of each one.
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Your CRM forgets everything it overwrites.
Every time a rep changes a close date, an amount or a stage, the old value is gone. That's why nobody can say where last quarter's pipeline went, whose forecasts to trust, or why deals keep slipping. AI tools like Claude and ChatGPT can't answer those questions either, because they only see what's true right now.
Your CRM today
- Stage
- Negotiation
- Close date
- Sep 30
- Amount
- $120,000
Deal
- 6 recorded changes since March 3
- 2 close-date pushes totalling 92 days
- 1 pricing objection on the May 14 call
Example data
Connect once. Remember everything.
Connect your stack
CRM, email, calendar, calls, marketing, support and billing, connected by our team in your first week.
Record every change
Every stage move, close-date push, amount change and new contact, timestamped and matched to the right people and companies.
Ask anything
Query your revenue history from Claude, ChatGPT or our agents, and get regular reports from your own engineer.
Your CRM can't answer these questions.Deal can.
Sales
- Whose forecast calls can I trust?
- What did our won deals look like three weeks in, compared with the ones we lost?
- Which deals have pushed their close date more than once, and what do they have in common?
Marketing
- Which campaigns created pipeline that actually closed, not just leads?
- Did last quarter's pricing or messaging change actually move our win rate?
- Which leads did sales reject or ignore that later came back and bought?
Customer success
- Which current accounts look like our churned customers did 90 days before they left?
- What did our expansion customers do in their first 60 days that everyone else didn't?
- What did we promise this customer during the sale, and have we delivered it?
Agents that watch your revenue around the clock.
Sales
- Forecast Auditor
- Deal Rescue
- CRM Autopilot
- Revenue Reconciler
Marketing
- Pipeline Attribution Analyst
- Lookalike Prospector
- Second-Chance Leads
Customer success
- Churn Early Warning
- Promise Keeper
- Renewal Prep
We do the work. You get the answers.
Every customer gets a named Revenue Engineer. We connect your systems, run the agents and bring you the findings.
How it works- Every weekForecast audit before your forecast call
- Every two weeksA call with your engineer
- Every monthPipeline waterfall of what closed, slipped, shrank and was lost
- Every quarterA board-ready report on what happened
Where Deal fits.
Underneath the tools you already use, as the memory every team and every AI works from.
Sales
Catches deals that keep slipping, forecasts that drift and pipeline that quietly shrinks, before the forecast call.
Marketing
Shows which campaigns created pipeline that actually closed, using the full history, not last touch.
Customer success
Spots accounts that look like your churned customers did, and keeps track of what was promised during the sale.
Good questions. Straight answers.
Does Deal replace my CRM?
No. It works alongside it. Your CRM stays the place your team works; Deal records every change it makes.
How far back can you go?
From day one, we pull in the history your CRM already keeps, then record every change from then on.
Who sees our data?
Only your team and your named engineer. Your data stays private and is never used to train AI models. See our security page for details.
We already have Gong (or Clari). Why do we need Deal?
Gong and Clari only give you part of a picture. Deal is a full context memory layer underneath them both, pulling data from CRM, email, calls, marketing, support, and billing systems.
Is the engineer a real person or a chatbot?
A real person who configures your system, runs your reports and joins your reviews, from a team with over 100 years of combined experience. The agents are software; the engineer is not.
We're on HubSpot, not Salesforce. Does this work for us?
Yes. Deal supports both Salesforce and HubSpot as CRM sources, alongside Google Workspace or Microsoft 365, the major meeting and call-recording tools, and marketing, support and billing systems.
What does my team need to do?
Very little. Our team connects your systems, sets up the agents and builds the reports. You join a kickoff and the reviews.
Start with a 30-day revenue evaluation for $1,000.
Plans from $1,250 a month, with your own engineer included. Your evaluation fee is credited toward your first year.
See pricing
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See where your pipeline really went.
Apply for a 30-day revenue evaluation. We'll do the setup.