HG Insights Fabric - B2B Contextual Intelligence & GTM Data

HG Insights Fabric is the data and intelligence foundation of the HG Insights Contextual Intelligence Platform. It connects fragmented market, account, technology, buyer, and intent data into a common intelligence layer so people and AI systems can make more precise go-to-market decisions.

Why Contextual Intelligence Matters AI models and GTM applications are increasingly capable of producing fast answers, but the quality of those answers depends on the intelligence behind them. A signal is more useful when the system also understands who the company is, how its subsidiaries roll up, what technology it uses, how much it spends, which buying center owns the technology, whether active intent represents a new-logo, expansion, or competitive-displacement opportunity, and how those conditions have changed over time.

Fabric provides that connected context. HG Insights links technology installations, spending, firmographics, buyer intent, corporate hierarchies, contracts, buying centers, contacts, cloud activity, and historical changes around unified company identities. The result is decision-ready intelligence that can be used by GTM teams, data teams, applications, and AI agents.

Core Intelligence

Technology Intelligence Understand technology adoption at the company, location, and product level, including hard-to-detect behind-the-firewall products. Use intensity and historical install intelligence to understand where technologies are deployed, how deeply they are adopted, and how that footprint changes over time. Fabric includes more than 15 years of install history.

IT Spend Intelligence Model expected technology spending across more than 150 categories spanning hardware, software, services, and communications. Use account-level spend signals to estimate opportunity, segment markets, allocate territories, and prioritize accounts with relevant budget potential.

Buyer and Intent Intelligence Combine HG intelligence with verified TrustRadius buyer intent and other intent signals to understand where active research is occurring and add context about the account's technology environment. Contextual Buyer Intent helps teams distinguish among new-logo, expansion, and competitive-displacement opportunities instead of treating every interested account the same way.

Company, Hierarchy, and Firmographic Intelligence Use company attributes such as revenue, employees, industry, geography, and corporate relationships to build markets, segments, and territories. Corporate hierarchy intelligence helps teams connect subsidiaries and parent organizations so market and account analysis reflects the business structure behind the records.

Buying Center and Contact Intelligence Identify the functions and locations associated with technology ownership and buying activity, then connect those signals to relevant contacts and roles to make account intelligence actionable.

Cloud, Contract, and Competitive Intelligence Understand cloud adoption and consumption patterns, identify relevant contract and renewal signals, and analyze competitive technology footprints to support displacement, expansion, and account-planning motions.

AI and Data Readiness Signals Use AI Maturity and related data-management signals to identify organizations demonstrating AI adoption, infrastructure maturity, and relevant research activity.

Example Use Cases

Market sizing and segmentation Build bottom-up market views using company, technology, spend, and adoption intelligence. Identify total relevant market, whitespace, competitive penetration, and high-value segments.

ICP design and account prioritization Combine firmographic, technographic, spend, and intent criteria to identify accounts that match your ideal customer profile and show the strongest opportunity signals.

Competitive displacement Find accounts using competitor technologies, assess adoption depth and timing signals, and prioritize accounts where replacement or modernization opportunities are more plausible.

GTM data enrichment Bring HG intelligence into your data environment to enrich CRM, warehouse, analytics, and operational workflows with consistent company, technology, spend, and buyer context.

AI and agent data infrastructure Give customer-built AI applications and agents a reliable intelligence foundation without requiring every team to assemble and maintain the underlying GTM datasets themselves.

How Fabric Is Delivered Fabric can be purchased independently and delivered via API or Direct Feed into customer data environments. It also powers HG Copilots, HG Agents, and HG MCP Server, enabling the same contextual intelligence foundation to support both human workflows and AI-driven GTM experiences.

Getting Started Contact HG Insights through AWS Marketplace to discuss data requirements, delivery method, target use cases, and commercial terms.