HockeyStack Raises $50M to Build Revenue Agents for the Enterprise

Revenue Agents for the Enterprise.

Man with curly hair sits at a desk with laptops and an orange book, overlaid with text boxes stating 'Deals scanned.', 'Next steps created.', 'Outreach drafted.', and 'Pipeline forecasted.'

Your best rep's judgment on every deal.

Trusted By Leading B2B Revenue Teams
GitHub
Harvey
Firstup
DataRobot
Justworks
Rakuten
Mimecast
Forcepoint
StackAdapt
RingCentral
Tipalti
Mastercard
Sumo Logic
Dice
Outreach
AppsFlyer
Yext
ActiveCampaign
8x8
GitHub
Harvey
Firstup
DataRobot
Justworks
Rakuten
Mimecast
Forcepoint
StackAdapt
RingCentral
Tipalti
Mastercard
Sumo Logic
Dice
Outreach
AppsFlyer
Yext
ActiveCampaign
8x8
Superior Technology

Anatomy Of A Revenue Agent

Atlas: data foundation
Data Acquisition
Ingests structured and unstructured data as a time-ordered event chain
Deduplication + Identity Resolution
Continuously merges duplicates across systems into one clean, trusted view
Categorization + Governance
Stages and segments computed in real time to accurately reflect how teams operate.
Anatomy diagram — blueprint_ml
Agents
Deal Agents
Dedicated autonomous agents for every deal.
Rep Cockpit
A contextual, adaptive workspace synced to each rep's calendar. Agent-driven tasks with clear reasoning behind every action.
Manager View
Rep performance, pipeline health, winning patterns, and coaching insights in one place.
Blueprints: machine learning

Multi-layer machine learning pipeline to identify which series of interactions leads to successful outcomes. Feedback loops ensure continuous improvement

The outcome

The Rep Cockpit

Reps operate from a contextual cockpit that adapts to their calendars, where Revenue Agents surface direct tasks with clear reasoning. Every action is driven by validated blueprints, so execution becomes consistent across every rep and every deal.
The Rep Cockpit dashboard
The outcome

The Manager View

The Manager View surfaces rep performance, pipeline health, and coaching insights in one place. It shows which deals are deviating from the winning process. 1:1s become more strategic and team-level pattern analysis can be used for enablement.
The Manager View dashboard
The outcome

The Deal Agent

Dedicated Deal Agents provide full context from every interaction across the opportunity. They answer questions, research stakeholders, create content, and flag risks so that every rep performs like your best.
The Deal Agent interface
For Your Brand

New Business. Expansion. Retention.

One data foundation. One blueprint. Every revenue team.

Revenue Agents run autonomously on every deal 24/7 — powered by machine learning that reverse-engineers your winning process.

AMS (AI Media Scaling) is the media-and-intelligence system inside Digicon. AMS runs one motion with two engines: a Production Engine that ships 200 to 500 short-form video variants per month, and an Intelligence Engine that detects the brand's Micro ICPs, validates winning formats, and returns a sharper creative brief every four weeks. AMS is built for Direct to Consumer brands preparing for launch, scaling past a paid-media ceiling, or opening retail gates. Korea-rooted, category-native. Three-month minimum engagements; Month 1 is free with commitment.