Deepline partner

Point your reps at the accounts that actually close.

We fix your data with Deepline. Then we rank your accounts, verified against deals you've already won and lost. So you know it works before your team calls anyone.

Book a call See the proof

30 minutes, no pitch deck.

Watch first
Trusted by leading B2B GTM teams
MaestroQA
Nooks
Sendoso
CollegeVine
WareSpace
Concept3D
ConnectWise
Tracksuit
Tavrn
Keen
The problem

Your CRM is the most expensive database you don't trust.

Too generic to trust.

Powerful, but expensive and complicated.

The right tool. You just don't know where to start.

Which leads to
→

Sales wastes hours researching accounts by hand.

→

Marketing burns budget on bad-fit accounts.

→

RevOps is stuck updating records by hand.

→

So nobody trusts the CRM, or uses it.

The solution

Verified data first, then a ranking that holds up.

Three steps, one record. Enrich it, verify it, then use it to decide where your team spends the week.

1 Enrich fit and timing

Deepline and AI agents fill every gap: who this account is, and whether now is the moment.

Northwind Systems
Fit
employees1,240
segmentMid-market
erpNetSuite
Timing
hiring4 AEs
fundingSeries C
2 Verify it

Every property is checked by hand against a golden set. You see the accuracy before it ships.

PropertySourceAcc.
Fit
employeesFilings98%
segmentAgent93%
erpWeb96%
Timing
hiringJob posts95%
fundingDeepline97%
3 Know where to focus

Fit crossed with timing gives one priority per account. Then we prove the ranking holds against deals you already won and lost.

FitTimingPriority
A Now P1
B Now P2
A Quiet P3
C Quiet DQ
The check

Validated against 1,284 of your closed deals. If the ranking does not predict what you already won and lost, it is wrong and we retune it.

P1 38% won
P2 24% won
P3 17% won
DQ 3% won
The system

Pipeline OS: a 30-day sprint, not a project.

Live in your CRM by Day 10. The other 20 days are rollout and measurement, the part every other vendor skips.

Scope Days 1–2
Build Live · Day 10
Deploy Days 11–30
Phase 1 Days 1–2

Scope

Fuzzy→Defined
01

Define your ICP, mapped to CRM properties.

02

Turn fuzzy rules into executable logic and scoring.

03

Sign the plan. No scope changes mid-sprint.

Phase 2 Days 3–10

Build

Unverified→Scored
04

Enrich and verify every property to a 95%+ accuracy bar.

05

Score fit and timing, then tier the whole base.

06

Validate the score against deals you won and lost.

Phase 3 Days 11–30

Deploy

Graveyard→Adopted
07

Sync to your CRM, backed up and stamped.

08

Train the team, then pilot with two or three reps.

09

Go wide, then report what the scoring is telling you.

Live by Day 10, guaranteed.

If you hit your dates and we miss it, we keep working at no additional charge until it is live.

Day 30+

Maintained and improved, or handed over.

Most clients stay on: the refresh runs automatically, scoring retunes against new closed-won every month, and we build new segments and signals as the business changes. If you would rather own it outright, we train your team and hand it over.

Book a call 30 minutes, no pitch deck.
Fair questions

The four things you are right to be skeptical about.

From 62 recorded sales calls, in the order they come up. Open one for the proof.

01

"We already bought data. It was garbage."

You bought a list. Nobody measured accuracy before it reached your reps.

+
02

"Can you even get the one data point my business runs on?"

Which ERP they run. What trial phase they are in. Physicians, not employees. We test before you sign.

+
03

"Why wouldn't we just do this in-house?"

You could. The constraint is calendar, not talent.

+
04

"I have to sell this internally."

We define how success gets measured on the first call, then hand you the case to take upstairs.

+

Nothing touches your CRM until you trust it.

Backed up first.
You sign off on a sample pass rate.

Every record stamped.
Source and date on every field.

Run cost forecast.
Hard auto-pause on overruns.

Yours either way.
If we stop, the system does not.

Proof

What a clean data layer does for pipeline.

+$11M
pipeline in H1, and a 13% connect-rate lift
"The data finally matched what our reps saw in the field."

VP Marketing, ConnectWise

+35%
data coverage at 95%+ accuracy
"We stopped second-guessing the CRM and started working it."

VP Marketing, Nooks

$1M+
in pipeline from a re-scored account base
"The list we had written off was mostly good data waiting to be fixed."

CEO, Sendoso

The next step

See what a real data layer does for your pipeline.

30 minutes. We look at your CRM, your ICP, and where Deepline does the most for you.

Jacob

Built by an operator, not a reseller.

Jacob Tuwiner, 10+ years in GTM and one of the first people to specialize in Clay.