HG Fabric is connected contextual intelligence: 12 data types that arrive already stitched together around one company record. Strategy, RevOps, marketing, sales, and data teams all work from the same view of the market.
The core idea: one company, one ID
Every signal and record in the Fabric maps to a single HG Company ID. That mapping holds across subsidiaries, corporate hierarchies, and buying centers worldwide. It is the one join key behind all 12 data types.
This matters for three reasons:
Context arrives connected. Technographics, intent, spend, and contacts for an account come through as one resolved company, not four sources to match on name and domain.
Fewer joins, fewer errors. HG does the entity resolution before the data reaches you.
Better grounding for AI. Complete, consistent context gives a model less reason to fill gaps with invention.
Companies, not just legal entities
Firmographics gives each company a profile. Corporate Hierarchies then links parents, subsidiaries, divisions, and locations to a Global HQ. It follows how an enterprise actually operates and where buying centers sit, not only who legally owns what.
The 12 data types
Group | Data type | The question it answers |
|---|---|---|
Foundation | Firmographics | Who is this company? |
Corporate Hierarchies | How does the corporate family fit together? | |
Technology signals | Technographics | Which products are installed, and where? |
Functional Area Intelligence | Which departments and roles use them? | |
Time Series | What was added or removed, and when? | |
Demand signals | Mentions | What topics is the company prioritizing? |
Contextual Intent | What is the company researching, in the context of its installed technology? | |
TrustRadius Buyer Intent | Who is actively evaluating products? | |
Spend and readiness | IT Spend | Where is technology budget going? |
AI Maturity | Is the company ready to build or adopt AI? | |
People and contracts | Contacts | Who should we reach? |
Company growth | Financing events | Has the company raised funds from VC? |
Contracts (ICT/BPO) | Which IT service work is outsourced, and to whom? |
How to read a signal
Technology and topic signals share a pattern: when HG first detected it, when it was last verified, and an intensity score. Intensity reflects how often the signal was detected, so higher intensity means higher confidence and a deeper footprint. A high score with a recent verification date means an active, established signal.
Where the signals come from
Technographics and Mentions are built from large document sources such as job postings, resumes, corporate websites, press releases, filings, and web crawling. Each detection is resolved to a company location through the Company ID.
Three ways to activate the Fabric
HG Copilots: Market Analyzer, Data Studio, and Sales Copilot for fast GTM execution
HG Agents: pre-built agents that run GTM tasks on their own
HG MCP Server: access to the Fabric for your own agents and MCP clients
You can also receive Fabric data in your own environment through the data feed, API, CRM integration, or Excel export.