AI-accelerated data platform

Clear visibility into your revenue data

We build your revenue data platform — turning disconnected CRM data into one trusted, AI-ready source of truth. Done for you.

Same CRM · Q2 Pipeline · 3 answers

Sales

$1.2M

Finance

$548K

Marketing

$820K

Verified

Q2 Pipeline · one definition

$1.2M

Teams we've worked with

CaseGuardFluidstackCamundaConcealMycroftAgility RecoveryShoplogixA2X
CaseGuardFluidstackCamundaConcealMycroftAgility RecoveryShoplogixA2X
The Problem

The same question. Three different answers.

The next best action to protect and grow revenue should be obvious. But the data layer keeps changing the story.

Sales view

$1.2M

Pipeline

Marketing view

$820K

Sourced

Finance view

$548K

Forecast

3 answers from the same CRM
01

Data is incomplete, with multiple sources of truth.

Sales, marketing, and finance all read from disconnected fields and arrive at different answers for the same revenue question.

Board reportDraft A
Pipeline$1.1M
Close dateJul 31
At risk4 deals
RevOps exportDraft B
Pipeline$980K
Close dateMissing
At risk7 deals
Manual corrections before the meeting
02

Reports take hours to pull from multiple sources.

Teams copy, reconcile, and redline numbers across exports before anyone can trust the story behind the forecast.

Ask your revenue data

Which rep is hitting quota this quarter?

Alex Martinez · 142%

Fabricated — no matching records

Pulled from a stale export
No single source of truth
Numbers don't reconcile
03

AI that makes things up.

Point AI at disconnected, unmodeled data and it fills the gaps by guessing — confident, plausible answers built on the wrong numbers.

Data Jungle delivers. Standard Salesforce and Revenue Cloud reporting just doesn’t get you there. There are basic things it can’t even tell you about your own funnel. Data Jungle took our messy Salesforce data and turned it into a clean, trustworthy warehouse, then gave me reporting and data access I couldn’t get anywhere else.

The biggest change is that my team can finally see the bottlenecks in our funnel, something we genuinely couldn’t do before. When a stage isn’t converting the way it should, I can spot it early, dig into the underlying calls, and act on it instead of letting it drag on invisibly for months.

It also plugs our warehouse and call transcripts into an AI layer, so I can just ask questions in plain English. Which fuel lines are converting, who’s struggling, what changed in the last week. If you have a data or reporting gap your CRM can’t close, this is what actually closes it.

Craig Whetstone

Craig Whetstone

COO — Conceal

What Clients Say About Our Work

“Highly responsive and quick to troubleshoot. They understood the reports investors want to see and tailored everything to our Salesforce instance. I’d recommend them to anyone wanting accurate revenue visibility.”

Sean Abas

Sean Abas

CEO — CaseGuard

“Transitioning to a forward-facing renewal model gave our GTM teams much better visibility into upcoming renewals and aligned sales, finance, and customer teams around a single source of truth.”

Courtney Jones

Courtney Jones

Sr. Manager, RevOps — Camunda

“We engaged Data Jungle to support a unique revenue reporting requirement. The end result was a set of reports that delivered exactly what we needed for better visibility into our revenue and renewal metrics.”

Dan Carpenter

Dan Carpenter

VP of Worldwide Sales — Fluidstack

“Data Jungle helped us align on objectives during a migration that fundamentally changed how we track our key metrics. Their guidance helped us navigate a complex transition we couldn’t have executed alone.”

Carlos Ramirez

Carlos Ramirez

Manager, GTM Systems — Camunda

How it works|Gold Standard GTM Analytics

Data Sources

CRM

Salesforce
HubSpot

ERP

Sage
QuickBooks
Xero

DBs, Files, APIs

PostgreSQL
CSV
SQL Server

Web Analytics

Google Analytics
Airbyte
Python
Model & Warehouse

Orchestrate

Airflow

Data Warehouse

BigQuery
StagingWarehouseMarts

Transform

dbt
Share

Analytics & BI

Evidence
Google Sheets

Data Science & AI

Jupyter
OpenAI
Claude
Gemini

Reverse ETL

Hightouch
Salesforce

The Data Knowledge Graph

In the age of AI, we turn your unstructured data — calls, docs, CRM logic — into a living model of how your business actually works. Not generic. Yours.

Inputs · unstructured

Business calls

conversations with your team & stakeholders

Documentation

Notion, Drive, wikis, runbooks

Salesforce metadata

automation, validation rules, data inspects

Your businessDataKnowledge Graph
Unlocks

Config builds itself

the graph writes your pipeline setup — no hand-coding

Snaps onto proven models

pre-built dbt models, auto-configured

Live in weeks

not months of custom modeling work

GTM Analytics Engine

Reporting your board actually wants to see.

Production-grade GTM dashboards, crafted from verified data and designed for operating cadence.

ARR Waterfall

Closing ARR

$4.7M

Net ARR Change

+$1.1M

OpeningNewExpansionLost
MayJunJulAugSepOctNovDecJanFeb
Conversational analytics

Just ask — right where your team works.

Anyone can ask a revenue question in plain English and get a grounded, source-backed answer in seconds — no dashboards, no SQL, no waiting on RevOps.

#revenue-questions
MB
Marcus Bell2:37 PM

@SQL Monkey which lead source drives the most deals to Demo? filter to deals created in the last 12 months

3 replies
🐵
SQL MonkeyApp3:26 PM

🐒 swinging through the data…

Here are the lead sources that drove the most New Business deals to Demo in the last 12 months:

  • Outbound SDR— 22 deals
  • Webinars— 15 deals
  • Referral— 12 deals
  • Paid Search— 10 deals
  • Field Events— 8 deals
  • Organic Search— 6 deals
  • Partner Co-sell— 5 deals
  • Cold Inbound— 4 deals

🍌 So what: Outbound SDR is the clear top-of-funnel engine, but Webinars + Referral + Paid Search combined (37) outpace it — healthy diversification, though Outbound alone drives ~27% of all deals reaching Demo.

MB
Marcus Bell4:59 PM

Thats actually really interesting

In Slack

Ask questions in plain English, right in your channels — like above.

Via MCP

Connect your company's own LLM straight to the modeled data marts.

How we work

Live in weeks. Yours to keep.

Start with a free audit, deploy in weeks not months, and own everything we build — the warehouse, the models, and the code. No long contracts, no lock-in.

Start here ↗
Step 01

Data audit

~1 week · Free
  • Assessment of your current CRM data health
  • Recommended architecture fixes and quick wins
  • No commitment — if we're not a fit, you walk away with a report worth acting on
No commitment required
Step 02

Core deployment

2–4 weeks · done for you
  • Infrastructure setup (BigQuery + pipeline)
  • Proven data models deployed against your CRM
  • Lifecycle mapping configured to your pipelines
  • Core reports — pipeline, funnel, and data quality
  • Full walkthrough and handoff
Fully deployed in weeks, not months
Step 03

Professional services

Monthly · as needed
  • Custom metrics and models as you grow
  • Ongoing maintenance and support
  • Scoped monthly to your needs — never a long contract
You own 100% — code, models, and warehouse
Book a call

Start with a free data audit.

We map where your revenue data lives, what's breaking, and how fast we can stand up a trusted, AI-ready data platform for your team.

Book a call