HG Insights Launches Contextual Intelligence Platform

HG Insights today launched the Contextual Intelligence Platform, giving go-to-market teams and agents one unified, connected picture of markets, accounts, and buyers, grounded in decision-ready intelligence.

"Every GTM team is adding the same agents, the same tools, the same playbooks. When the infrastructure is equal, whoever knows the account best wins," said Rohini Kasturi, CEO of HG Insights, in a statement. "Most vendors still sell disconnected data and call it intelligence. We've built the intelligence layer for autonomous, agentic GTM. Our platform connects the data, gives it context, and derives decision-ready signals that power teams and AI agents to execute with precision."

HG's Contextual Intelligence connects technology installations and usage, spending, buyer intent, buying centers, and contacts to an account and its corporate hierarchy. It tracks changes over time and computes new signals, giving teams and AI agents the context, combined with first-party data, to distinguish opportunities, prioritize accounts and leads, and guide GTM execution .

The HG Insights Contextual Intelligence platform includes the following:

• Fabric, the data and intelligence foundation of the platform, has expanded its company, technology, and spend coverage and now includes funding and mergers and acquisitions intelligence, automatic hierarchy updates, and contacts matched to the buying centers that own a given technology. A new Momentum signal has been added that shows whether a vendor, portfolio, or product is gaining or losing ground.
• HG Copilots, including Market Analyzer, Data Studio, and Sales Copilot, help GTM teams assess markets, optimize coverage, target accounts, build audiences, and engage buyers. Sales Copilot now tailors its guidance around each customer's own products, buyers, and sales motions. A rep opens a ranked account list with research, engagement history and intent signals, suggested sales play, product pitch, and buyer committee contacts, all with clear reasoning. That same transparency now extends to predictive AI scoring across HG Copilots. Fit, Need, and Intent models update dynamically to sharpen lead and account prioritization while staying deterministic, explainable, and adjustable.
• HG Agents automate time-consuming GTM tasks, such as expansion sizing, territory coverage, account research, signal monitoring, brief and outreach drafting, and enrichment. HG Agents are reachable from Slack, Microsoft Teams, the HG interface, or embedded directly into customers' own applications using standard Model Context Protocol (MCP). A new HGSuperagent interprets user requests, selects the right specialist agents, and assembles the result with every claim cite-sourced.
• HG MCP Server gives customers' AI agents and applications direct access to HG's contextual intelligence. Through one secure, governed connection, they can query market, account, and buyer intelligence alongside TrustRadius product reviews, SEC filings, federal contract data, and other live web research. They can also draw on a growing library of curated workflows, trigger and monitor HG Agents, and query the Fabric for custom analysis, market sizing, ideal customer profile segmentation, account-based marketing, and campaign design. Every result traces back to its source data.
• Customer Voice, powered by TrustRadius, further extends the platform. It feeds the Fabric with downstream buyer-intent signals from a community of more than 12 million technology buyers actively researching products. It also accelerates the collection of customer-verified, in-depth reviews and ratings for social proof, SEO, and AI citeability, plus GEO monitoring to track how vendors show up across AI search.