The AI Model Built for GTM

Nex-LM, HockeyStack’s Proprietary LLM Built for GTM Data, Turns Plain English Contracts Into Automated Workflows

Trusted by leading GTM teams of all sizes

Case Study
Rakuten

Case Study
Justworks

Case Study
Firstup
How Firstup Scaled ABM and Aligned Sales and Marketing with HockeyStack Account Intelligence

“HockeyStack gave us full-funnel visibility, scoring we trust, and attribution that shows what’s actually working. Sales and marketing are finally aligned, and we can make faster, more confident decisions.” — Hollie Lemos, VP Revenue Marketing @ Firstup

Hollie Lemos
VP Revenue Marketing
Case Study
Stocksy
How Stocksy Scales Product-Led and Sales-Led Growth With HockeyStack

“We’ve become far more data-driven because of HockeyStack…we’re tying all our channels together, connecting to our CRM, and proving ROI well enough to secure more budget and scale our campaigns." — Masagi Sinnott, Sr.Marketing Ops Specialist @ Stocksy

Masagi Sinnott
Sr.Marketing Ops Specialist
Case Study
Airbyte
How Airbyte Rebuilt GTM with HockeyStack AI Analytics

“I think Odin is kind of like the analyst I wish I had on the team. I can just sit, have coffee, and really see at a 360-degree level what’s working and what’s not working. It’s been a game-changer.” — Mario Moscatiello, Head of Growth @ Airbyte

Mario Moscatiello
Head of Growth
Case Study
outreach

Case Study
Dice
How Dice Optimized Go-to-Market Strategy with a Connected Buyer Journey

“We consolidated three internal meetings into one comprehensive performance and collaboration meeting, thanks to HockeyStack’s unified reporting. From the CEO down, everyone was impressed — the clarity in our funnel numbers allowed us to restructure our nurture program.

“HockeyStack gave us one connected buyer journey that we could see, which gave us the ability to look at our data on multiple attribution models and to really make those types of budgeting decisions at different levels.”

Na'im McKee
Director of Marketing Analytics, Marketing Technology & Operations
Case Study
Mastercard

Case Study
Coro
How Coro Uses HockeyStack to Drive Qualified Pipeline

"I didn’t want leads—I wanted pipeline. With HockeyStack, I can finally see which programs are actually driving revenue, not just form fills. What used to take hours in Excel now takes five minutes—and the insights are 10x better." Justin Brock, VP of Demand Generation

Case Study
8x8
How 8x8’s Marketing Team Drives Business Growth with HockeyStack

“We’re doing very, very innovative things with HockeyStack… understanding the campaigns and touchpoints that accelerate deals at each stage.” Bruno Bertini, CMO @ 8x8

Bruno Bertini
CMO
Case Study
Tipalti

Case Study
RingCentral

Case Study
DataRobot
How DataRobot Built Data-Driven Enterprise Marketing Strategy with HockeyStack

“Before HockeyStack, our team was uncomfortable with data. Now every marketer presents their own metrics, tells the story behind them, and makes confident decisions. When they walk into a meeting with the CEO, they can explain their choices with evidence instead of opinions — and that mindset shift is the real return.” - Doug Cone, Director, Growth Marketing and Operations

Doug Cone
GTM Strategy / Analytics / Operations
Case Study
AppsFlyer

Case Study
sumo logic

Case Study
Forcepoint

Case Study
StackAdapt

Case Study
ActiveCampaign
How ActiveCampaign hit their monthly revenue targets after cutting ad spend in half

Chris Wood, Director of Demand Generation at ActiveCampaign, shares how HockeyStack empowered their team to overcome BI challenges, and optimize LinkedIn performance.

“HockeyStack is allowing us to understand trends over time and also predict where to go next.”

Chris Wood
Director of Demand Generation
Case Study
mimecast

Case Study
Rakuten

Case Study
Justworks

Case Study
Firstup
How Firstup Scaled ABM and Aligned Sales and Marketing with HockeyStack Account Intelligence

“HockeyStack gave us full-funnel visibility, scoring we trust, and attribution that shows what’s actually working. Sales and marketing are finally aligned, and we can make faster, more confident decisions.” — Hollie Lemos, VP Revenue Marketing @ Firstup

Hollie Lemos
VP Revenue Marketing
Case Study
Stocksy
How Stocksy Scales Product-Led and Sales-Led Growth With HockeyStack

“We’ve become far more data-driven because of HockeyStack…we’re tying all our channels together, connecting to our CRM, and proving ROI well enough to secure more budget and scale our campaigns." — Masagi Sinnott, Sr.Marketing Ops Specialist @ Stocksy

Masagi Sinnott
Sr.Marketing Ops Specialist
Case Study
Airbyte
How Airbyte Rebuilt GTM with HockeyStack AI Analytics

“I think Odin is kind of like the analyst I wish I had on the team. I can just sit, have coffee, and really see at a 360-degree level what’s working and what’s not working. It’s been a game-changer.” — Mario Moscatiello, Head of Growth @ Airbyte

Mario Moscatiello
Head of Growth
Case Study
outreach

Case Study
Dice
How Dice Optimized Go-to-Market Strategy with a Connected Buyer Journey

“We consolidated three internal meetings into one comprehensive performance and collaboration meeting, thanks to HockeyStack’s unified reporting. From the CEO down, everyone was impressed — the clarity in our funnel numbers allowed us to restructure our nurture program.

“HockeyStack gave us one connected buyer journey that we could see, which gave us the ability to look at our data on multiple attribution models and to really make those types of budgeting decisions at different levels.”

Na'im McKee
Director of Marketing Analytics, Marketing Technology & Operations
Case Study
Mastercard

Case Study
Coro
How Coro Uses HockeyStack to Drive Qualified Pipeline

"I didn’t want leads—I wanted pipeline. With HockeyStack, I can finally see which programs are actually driving revenue, not just form fills. What used to take hours in Excel now takes five minutes—and the insights are 10x better." Justin Brock, VP of Demand Generation

Case Study
8x8
How 8x8’s Marketing Team Drives Business Growth with HockeyStack

“We’re doing very, very innovative things with HockeyStack… understanding the campaigns and touchpoints that accelerate deals at each stage.” Bruno Bertini, CMO @ 8x8

Bruno Bertini
CMO
Case Study
Tipalti

Case Study
RingCentral

Case Study
DataRobot
How DataRobot Built Data-Driven Enterprise Marketing Strategy with HockeyStack

“Before HockeyStack, our team was uncomfortable with data. Now every marketer presents their own metrics, tells the story behind them, and makes confident decisions. When they walk into a meeting with the CEO, they can explain their choices with evidence instead of opinions — and that mindset shift is the real return.” - Doug Cone, Director, Growth Marketing and Operations

Doug Cone
GTM Strategy / Analytics / Operations
Case Study
AppsFlyer

Case Study
sumo logic

Case Study
Forcepoint

Case Study
StackAdapt

Case Study
ActiveCampaign
How ActiveCampaign hit their monthly revenue targets after cutting ad spend in half

Chris Wood, Director of Demand Generation at ActiveCampaign, shares how HockeyStack empowered their team to overcome BI challenges, and optimize LinkedIn performance.

“HockeyStack is allowing us to understand trends over time and also predict where to go next.”

Chris Wood
Director of Demand Generation
Case Study
mimecast

Business Context
Nex-LM is built for GTM teams, with native understanding of deal stages, buying committees, engagement, attribution and more. No schema explanations or generic AI.
Built-in Reasoning
Nex-LM doesn’t just follow instructions — it reasons. Every request is broken down into a logical plan grounded in your data and logic.
Automatic Tool Calling
Nex-LM automatically pulls the right signals and tools without requiring you to specify queries or data sources.
Self Improving
Agents outcomes automatically improve over time as Nex-lm learns more about your outcomes and requests.
Validation
Nex-LM validates each Agent Contract before it runs, attempts to fix issues automatically, and highlights the parts that need user review.

Purpose Built for GTM

Contract Creation
Understand and Parse
Plan
Validate and Fix
AI Agent Execution
PHASE 3

Plan

Complex requests are broken into logical, sequential steps. Nex-lm creates a blueprint: what data to fetch, what to analyze, what decisions to make, and in what order. You describe the outcome; Nex-lm architects the path.

PHASE 4

Validate and Fix

Every workflow is checked before execution—once by Nex-lm to confirm it matches your intent, once programmatically to guarantee the structure is correct. If issues are found, Nex-lm fixes them automatically and alerts the user.

Frequently Asked Questions

How is this different from using ChatGPT or other AI tools?
Do I need technical skills to build agents?
What happens if the AI makes a mistake?
Can agents handle large volumes of data?

Ready to see HockeyStack in action?

HockeyStack turns all of your online and offline GTM data into visual buyer journeys and dashboards, AI-powered recommendations, and the industry’s best-performing account and lead scoring.

Ready to See HockeyStack in Action?

HockeyStack turns all of your online and offline GTM data into visual buyer journeys and dashboards, AI-powered recommendations, and the industry’s best-performing account and lead scoring.

Book a demo