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AI built for GTM Teams from Startup to Enterprise

Atlas Makes AI Work

Most GTM AI applications are unreliable.

They function as point solutions, disconnected from the underlying data. Therefore, they fail to deliver consistent, actionable insights.

HockeyStack’s Data Foundation, Atlas, is built to solve that problem.

Atlas ingests GTM data from every system across your revenue stack, standardizes it, and applies an intelligent categorization layer. This creates a unified, trusted source of truth that our AI Agents can reliably reason over.

Action Layer

Now, you can make decisions and take action on your GTM data directly through the Dashboard UI, AI Agents, or our automated GTM Workflows.

Data Categorization and Governance

Your business context and definitions are applied to the cleaned data.  For example: How do you define funnel stages? What filters matter for your analysis?

Deduplication + Identity Resolution

Atlas matches and merges identities from different sources and buckets them into building blocks: person, company, action and metadata

Data Acquisition

Atlas ingests raw, complete, structured and unstructured data from every data source (CRM, MAP, Ad Platforms, Website activity, Data Warehouse)

On top of this foundation:

From reactive reporting to proactive growth.

By combining data integrity with purpose-built AI, HockeyStack transforms GTM decision-making.

Governance & Integrity

Data Governance

Consistent Data Framework

Enterprise-Grade Security

Cross-Source Data Fusion

Reasoning & Intelligence

Multi-Step Reasoning

Planning

Agentic & Async Deep Research

Built-in RAG

Insights & Optimization

Report Builder

Automated Benchmarking

Real-Time Evaluation & Continuous Optimization

Scheduled Insights

Scalability & Integration

Multi-Lingual (40+ languages)

Tool Calling

Integration List

Hear From HockeyStack Customers:

“I was in a meeting and someone asked how much we’d spent to date. I asked Odin, and it gave me the exact number—live, in seconds. That’s when I realized its value”

— Selin Kocalar, Co-Founder & COO @ Delve

Impact:

  • 50+ hours saved per quarter by eliminating manual reporting and spreadsheet stitching.
  • AI-powered marketing operations allowing a 2-person team to run like a full RevOps department.
  • Experiment-driven marketing engine: weekly test-and-learn cycles implemented, tied to actual demo outcomes.
Read Case Study

“Odin has massively helped our go-to-market reporting. What used to take hours now takes minutes, giving us fast clarity on attribution, channel performance, and what’s actually driving revenue.”

— Rich Elliot, Demand Generation @ Zenhub

Impact:

  • Transitioned from first-touch to full-funnel attribution
  • Achieved 2× increase in MQLs and pipeline generation
  • Enabled 16 users across 4 departments to use AI-powered insights for daily decisions
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“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

Impact:

  • Replaced dependence on RevOps/data teams
  • Enabled full self-serve analytics and unified GTM strategy
  • Used across SEO, SEM, RevOps, Sales, and Leadership teams for performance reviews
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"In a role where I need to have all the answers, Odin helps me validate decisions and move with confidence. Odin is like having a teammate who can instantly analyze performance and recommend what to do next. I’ve used it to refine our media mix and forecast exactly what we need to hit our goals.”

— Alex Shaefer, Marketing Operations @ Honeycomb

Use Case Highlights:

  • Used for rapid validation of strategic decisions
  • Supported forecasting and media optimization