For GTM Engineers

Query Any Account in 10 Seconds. Build Workflows on Unified Context.

Stop digging through 6 tools to understand one account. Deepline gives you one API that returns CRM, product usage, support history, and outbound activity.

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Ship workflows in hours, not weeks

Built for how GTM engineers actually work

One Source of Truth for ICP and Personas

1 source

of truth
ICP definitions, personas, competitive intel, product positioning—all versioned and accessible to every workflow. Update once, propagate everywhere.
Realtime Events + Batch Jobs in One System

Real-time

+ batch
Trigger workflows on events (deal stage change, email reply) or schedule batch jobs (nightly enrichment, weekly scoring). One system to build, monitor, and debug.
Test on Historical Data Before Going Live

Backtest

before deploy
Run your AI workflow against past data. See predicted outcomes before deploying. A/B test prompts, context, timing. Know it works before reps use it.
Actions Surface Where Reps Already Work

0 new tabs

Your scoring model is useless if reps don't see it. We deliver to Slack and Salesforce—where work already happens.
Store Enrichment Once, Use Everywhere

1 API call

all tools
Call Apollo or Clearbit once. Store in your warehouse. Serve to Salesforce, Outreach, Slack—no duplicate API calls, no inconsistent data, no wasted cost.

The biggest piece I would say is currently missing is ability to have some sort of agent connected to all of our data tables. Figuring out where data is to get to the right tables and turn that into the right workflows. Context engineering is my difficulty right now.

GTM AI Lead

B2B Restaurant-Tech Platform

Measurable impact in < 30 days.

Real-time

Signal to Action
Deepline combines batch warehouse analyses with real-time webhooks & processing.

700+

Data Sources
Warehouse-native implementation enables integration with any data source.

0

Data Engineering
Required to get started

100%

Campaign Attribution
From outbound touch to closed-won

Built for how GTM engineers actually work

Hundreds of hours tuning prompts. No way to know if they're better.

Hundreds of hours burned on prompt iteration. No systematic way to test changes. Can't learn from what worked. Andrew Hirsch: 'The ability to have tools learning off the feedback loop of this is a success, this isn't—that's the big missing piece.'
Generate prompts from positive and negative cases. Feed in your best-qualified leads and your worst. The system learns what distinguishes them. Prompts improve automatically from outcomes.

Context is scattered. Reps waste 30 minutes before every call.

30+ minutes of research per call. Missed signals because nobody connected the dots. Reps show up underprepared. Deals slip. One GTM lead: 'Jumping between LinkedIn data and doing his own research—it's insane.'
One unified view: transcripts, lead history, ICP definitions, enrichment, product signals merged and ready before every call. Pre-call briefs generated automatically.

No attribution. You can't see what's actually working.

You built the outbound motion but have no idea which parts work. Tom: 'I want to track if someone starts in my campaign, accepts a connection, gets cold called—but I can't.' Leadership asks for proof. You don't have it.
Journey visibility from first touch to closed-won. Every touchpoint stitched together. See exactly which sequences, signals, and actions drive revenue.

Tool overlap is burning budget and creating conflicting data.

Wasted spend on duplicate functionality. Conflicting data across systems. Maintenance falls on you. Kevin: 'We have a large tech stack. Some of the tools do the same thing.'
One platform for enrichment, automation, and analytics. Consolidate the stack. Single source of truth. Stop paying multiple vendors for the same data.
[{"title":"40% of Your Time on Data Plumbing","problem":"Schema discovery. Data mapping. Figuring out where the hell that field lives. You're a GTM engineer, not a data archaeologist.","impact":"Schema discovery. Data mapping. Figuring out where the hell that field lives. You're a GTM engineer, not a data archaeologist.","solution":"Point at a warehouse, get a map of every table and field in 10 seconds. Query any account from your terminal in one call."},{"title":"Every Client Starts from Scratch","problem":"Your Clay tables don't talk to each other. Enrichments scattered across 15 tables. Research that lives in your head (or nowhere). Context that disappears when you switch clients.","impact":"Your Clay tables don't talk to each other. Enrichments scattered across 15 tables. Research that lives in your head (or nowhere). Context that disappears when you switch clients.","solution":"Call Clearbit once, use it everywhere. One record per account across your entire stack. Context that builds on itself instead of resetting to zero."},{"title":"30 Minutes of Pre-Call Research","problem":"Tab-switching nightmare. CRM. LinkedIn. G2. Product analytics. Support tickets. News. By the time you have context, the meeting started 5 minutes ago.","impact":"Tab-switching nightmare. CRM. LinkedIn. G2. Product analytics. Support tickets. News. By the time you have context, the meeting started 5 minutes ago.","solution":"Account context in one query. Everything unified, everything current. 30 minutes becomes 10 seconds."},{"title":"\"Did That Actually Work?\"","problem":"Which sequence drove that meeting? Which signal predicted that close? You shipped the workflow but have no idea if it's working.","impact":"Which sequence drove that meeting? Which signal predicted that close? You shipped the workflow but have no idea if it's working.","solution":"Attribution from first touch to closed deal. Know exactly which signals and sequences drive pipeline."},{"title":"Paying for the Same Data Twice","problem":"Called Clearbit for that account last week. Called it again today. Will call it again tomorrow. Same data, 3x the cost.","impact":"Called Clearbit for that account last week. Called it again today. Will call it again tomorrow. Same data, 3x the cost.","solution":"Call once, store forever, query anywhere. One record per account. Stop paying for the same enrichment twice."}]
[{"value":"3 days","label":"Scoring Live","description":"Ntopology case study"},{"value":"<2 weeks","label":"Full ABM Coverage","description":"Ntopology case study"},{"value":"<5 hrs","label":"Customer Effort","description":"Ntopology case study"},{"value":"15+","label":"Data Sources","description":"Unified in one afternoon"}]
[{"title":"Query Any Account from Your Terminal","description":"Your Claude Code skills connect directly to Deepline. Query accounts, trigger workflows, pull enrichments without leaving your terminal. Structured context ready to pass to Clay, Salesforce, or any downstream tool.","metric":"10 sec","metricLabel":"Full Context"},{"title":"Context That Builds on Itself","description":"Research findings, enrichments, signals: stored once and available everywhere. Not scattered across Clay tables. Not lost when you switch clients.","metric":"Reusable","metricLabel":"Across Clients"},{"title":"Stop Asking 'Where Does This Data Live?'","description":"Point at any warehouse: Snowflake, BigQuery, Postgres, Redshift. Get a map of every table, field, and relationship in 10 seconds. Understand the data before you write a single query.","metric":"10 sec","metricLabel":"Schema Discovery"},{"title":"Know It Works Before You Ship","description":"Run your new prompt against 6 months of historical data. See exactly how it would have performed. A/B test messaging variants on real accounts. Deploy with confidence.","metric":"2 min","metricLabel":"Backtest"},{"title":"Finally Answer 'Did That Work?'","description":"Tracking from first touch to closed deal. Which signals predicted closed-won? Which sequences drove meetings vs. just activity?","metric":"Complete","metricLabel":"Attribution"}]

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