HG Insights Contextual Intelligence Platform - AI GTM Intelligence

HG Insights Contextual Intelligence Platform gives go-to-market teams and AI agents the connected picture of market, account, and buyer they need to make better decisions and act with confidence and precision.

The platform connects and contextualizes market, company, technology, spend, buyer, intent, contract, hierarchy, and historical intelligence; transforms that data into decision-ready signals; and makes the resulting intelligence available through Fabric, HG Copilots, HG Agents, and HG MCP Server.

Why Contextual Intelligence Matters As AI becomes common across GTM, access to a model is no longer the primary differentiator. The quality and context of the intelligence behind the model increasingly determine the quality of the decision.

A company record, an intent signal, or a technology install becomes more actionable when it is interpreted in context: whether two records represent the same company, how a subsidiary rolls up to a parent, whether an account already owns a product, which buying center is involved, how much the account is likely to spend, whether a competitor is installed, and what has changed over time.

HG Insights turns those connected signals into Contextual Intelligence so teams and AI systems can interpret the market more accurately and act with greater precision.

How the Platform Fits Together

Fabric: the intelligence foundation Fabric connects the underlying market, account, technology, spend, buyer, and intent intelligence around unified company identities and corporate hierarchies. It includes deep technographics, 150+ IT spend categories, more than 15 years of install history, firmographics, verified TrustRadius buyer intent, cloud intelligence, contract signals, buying-center intelligence, and other proprietary signals. Fabric can also be purchased independently and delivered through API or Direct Feed.

HG Copilots: intelligence applied to GTM work HG Copilots help teams turn connected intelligence into precise action. Market Analyzer supports market sizing, segmentation, competitive analysis, and strategic planning. Data Studio supports analysis and modeling. Sales Copilot applies Contextual Intelligence through the lens of what each customer sells, who they sell it to, and the business problems they solve.

AI Scoring: transparent Fit, Need, and Intent prioritization AI Scoring researches the customer's business and offerings, then builds a model based on Fit, Need, and Intent signals. Teams can understand the signals, rules, and weights behind each score, adjust the model, run different models for different products or segments, and simulate how changes affect prioritized accounts before applying them.

HG Agents and HG Superagent: automated GTM workflows HG Agents automate complex GTM workflows and return finished, source-cited outputs. Depending on the use case, agents can research accounts, map buying committees, analyze triggers, build target lists, find contacts, score opportunities, and generate personalized outreach. HG Superagent interprets the user's objective and coordinates the appropriate specialist workflows.

HG MCP Server: Contextual Intelligence for customer-built AI HG MCP Server enables customer-built agents and MCP clients to query HG intelligence, retrieve contextual data, and execute curated workflows. This helps enterprises use a consistent intelligence foundation across multiple models, agents, applications, and AI platforms rather than rebuilding a separate GTM data layer for every AI initiative.

Key GTM Use Cases

Market sizing, segmentation, and territory planning Build bottom-up market views using company, technology, spend, and adoption intelligence. Identify whitespace, segment opportunity, analyze competitive penetration, and align territories to market potential.

ICP design and predictive account prioritization Combine firmographic, technographic, spend, Need, Fit, and Intent signals to identify high-value accounts and create prioritization models tailored to different products, segments, or sales motions.

Competitive displacement and expansion Identify competitive technology ownership, assess intent and account context, and distinguish new-logo, expansion, and displacement opportunities so sellers can lead with the most relevant motion.

Account research and seller guidance Generate decision-ready account context, identify relevant buying signals and contacts, and help sellers understand where to focus, what to lead with, and why.

AI-driven GTM workflows Give agents and applications trusted market, account, buyer, and opportunity context so automated workflows can operate on a stronger intelligence foundation.

Getting Started Contact HG Insights through AWS Marketplace to discuss the capabilities, users, AI workflows, integrations, commercial model, and deployment approach that best fit your GTM strategy.