New platform unifies dynamic data, buyer intelligence, and AI-ready execution across marketing, sales, and revenue operations

PALO ALTO, CA | June 10, 2026 — Leadspace today announced the launch of its GTM Data Intelligence Cloud™, a unified system of record for go-to-market intelligence that helps revenue teams operate with speed and confidence in an AI-driven, buyer-led world. Built on more than a decade of investment in enterprise-grade data intelligence, the platform brings unified identity and buying-group context together with AI-ready execution, delivering real-time intelligence and action to mid-market and enterprise B2B organizations alike.

As go-to-market teams accelerate AI adoption across marketing, sales, and revenue operations, many remain constrained by fragmented, outdated data spread across disconnected systems. Without unified, continuously updated intelligence, organizations struggle to understand true buying groups, interpret real-time buyer signals, and act with confidence as decisions are being made.

Where traditional data providers stop at delivering information, the GTM Data Intelligence Cloud™ is built to act on it — among the first platforms in the B2B data industry designed to do the work of go-to-market on behalf of revenue teams, not just supply the data behind it. The platform is built in three connected layers: a continuously updated data foundation, and two new products that surface its intelligence where revenue teams work — one in the flow of an individual rep's day, and a shared workspace for marketing, sales, and revenue operations to act on real-time buyer signals.

• Dynamic Data Intelligence: the shared data engine beneath the entire platform, refined through more than a decade of sustained investment and available today — resolves identity across accounts, contacts, and the corporate hierarchies that define buying groups; continuously ingests first- and third-party signals, including intent, website, and social activity, job changes, and funding events; and layers on firmographic and technographic enrichment. Accessible through APIs and the Leadspace MCP Server, it feeds every product above it.
  
  
  

• Leadspace Sidekick — the company's first new product under the platform, launched this week — brings AI-powered selling intelligence to individual reps in the flow of work. Available today as a Chrome extension, with a companion web app to follow, Sidekick combines conversational AI with real-time contact, company, and firmographic intelligence — generating account research, personalized outreach, buying group identification, and lookalike modeling that surfaces similar contacts and companies on demand. Reps can build target lists in natural language and push contacts to Salesforce, HubSpot, or Outreach, or export them to file.

• Leadspace Command Center: the AI-native workspace shared across marketing, sales, and revenue operations — turns the platform's continuous, first-party buyer signals into prioritized, one-click actions. An embedded conversational AI layer lets users ask natural-language questions and take action without leaving the workspace. It draws on inbound buyer activity from across digital channels — web visits, email engagement, content interactions, LinkedIn intelligence, and more — resolved to the account and contact level, triggering signal-driven execution programs that orchestrate next steps across CRM, campaigns, and sales engagement.

Rather than simply surfacing insights, this layered approach enables marketing, sales, and revenue operations teams to identify real demand earlier, understand who is involved in each buying decision, and move from signal to action in real time as buyer behavior changes.

"Data is at the heart of modern go-to-market success, but most teams are still operating on data that was never built for today's buying reality," said Eric Presbrey, Chief Executive Officer of Leadspace. "The GTM Data Intelligence Cloud reflects a new mental model for go-to-market. It is built to serve as the system of record for GTM intelligence, unifying identity, intent, and buying-group context so teams can identify buying intent, understand who is involved, and take action while buyers are actively making decisions."

"In an AI-driven GTM model, data is not a supporting layer. It is the system of record that powers coordination and execution," said Geoff Smith, Chief Marketing and Product Officer at Leadspace. "By connecting unified intelligence with AI-ready workflows, we enable go-to-market teams to move from insight to next-best action with speed and confidence."

As AI becomes embedded across GTM workflows, organizations that unify identity, intent, buying-group context, and execution within a single system of record will be best positioned to compete and grow. The GTM Data Intelligence Cloud™ is designed to be that system — from the first signal to the last action.

For more information, visit www.leadspace.com.