RGI Fabric customers can now reach more companies, segment markets with greater precision, and size AI opportunities with more confidence. Six major releases in Q2 2026 made that possible, each one extending a different piece of what the core feed can do: who you can reach, how precisely you can segment a market, how completely intent signal covers the tech landscape, and how confidently you can seize AI opportunities.
Here’s what shipped, and what it unlocks.
Quick Answer: RGI Fabric’s Q2 2026 updates:
- 200 million+ enriched contacts linked to the HG Company ID
- Security taxonomy expanded from 3 categories to 14 subcategories
- TrustRadius buyer intent delivered natively in the feed
- AI spend projections across 14 categories for 500K+ Enterprise companies and millions of SMB companies
- Company coverage expanded to 40 million, with a path to 100 million by year end
New data type: 200 million contacts, tied directly to your account data
RGI Fabric now delivers contact-level data alongside company, technology, and intent data. Up to 200 million contacts are available in the feed, each tagged to the HG Company ID, so contacts arrive already matched to the accounts and signals customers already work with.
In practice, customers can build target audiences using technology and company criteria, then filter contacts by job level, function, tenure, and geography to create an outreach-ready list without relying on a separate contact vendor or matching process
Contact details are refreshed at the time of data delivery rather than pulled from a static export. That distinction matters for data that changes as fast as people do.
Who benefits most: RevOps and data teams building their own pipelines, and customers running end-to-end sales and marketing motions from audience building to activation inside one dataset.
Security taxonomy expansion: 3 broad categories become 14 granular subcategories
HG’s Security Software taxonomy has been rebuilt. Broad categories often produced noisy segments. For example, a company using a basic IAM tool looked the same as one running a full Privileged Access Management solution. The updated taxonomy expands this into 14 named subcategories across four areas.
- Identity and Access Management: Access Management and Authentication, Privileged Access Management, Identity Governance and Administration
- Information and Threat Management: Security Operations (SIEM/SOAR/XDR), Endpoint Security, Data Security, Email Security, Web-based Threat Protection
- Vulnerability Management: Core Vulnerability Management, DevSecOps
- Cloud Security (new standalone category): Cloud Security covering CNAP, CSPM, and CASB
The updated structure aligns more closely with how the security market is actually organized.Cloud Security, previously scattered across other categories, is now a standalone category, so a vendor competing specifically in cloud security no longer gets grouped in with general security tooling.
This is the first release under a broader taxonomy overhaul that moves HG from a static list to one updated on an ongoing basis, with easier crosswalk to research firms like Gartner and IDC.
Who benefits most: Security vendors needing precise segmentation for competitive displacement or ICP targeting, and any customer working in a market where a broad category label produces too much noise.
TrustRadius intent, natively in the feed: broader coverage, owned at the source
TrustRadius, an HG company, generates buyer intent signals from people actively researching and reviewing products. These signals complement HG’s technology install data.
The latest release brings TrustRadius intent into RGI Fabric directly. HG has matched TrustRadius products, vendors, and categories to its own taxonomy, so the intent data arrives on the same identifiers customers already use. That means TrustRadius and HG product catalogs are now a single source of truth in the HG Fabric. TrustRadius Intent across all tracked products is now available with the 5 level HG category system.
The competitive distinction here is structural. ZoomInfo and 6sense license TrustRadius as a third-party signal among several. HG owns the source. That data runs natively in the same pipeline as HG’s install and intent data, on the same taxonomy. The result: customers get one intent signal instead of two data sources to reconcile.
Who benefits most: Customers targeting categories where HG’s existing intent coverage was thin, and intent users who want a broader signal without adding another vendor. Additionally, customers looking for intent signals tied directly to content aimed at buyers of technology via trustradius.com.
AI spend projections: projected AI budgets for 500,000+ Enterprise companies and millions of SMB companies across 14 categories
Many companies selling AI solutions still rely on assumptions when prioritizing prospects. An account may look promising because it has a large cloud footprint or a sizable technical team, but those signals alone do not indicate how much it is truly investing in AI or where that investment is concentrated across the AI stack. Without clear spending insights, sellers risk misallocating time and resources to accounts that are not yet ready to buy.
To address this gap, RGI Fabric now includes a standalone AI Spend model, distinct from HG’s existing IT Spend data. The model covers 14 AI categories spanning AI Hardware, AI Software, and AI Services for more than 500K enterprises with annual revenue exceeding $50 million, with recent expansions extending coverage into HG’s SMB dataset.
The offering provides two complementary views. Absolute AI Spend estimates total AI investment at the account level, supporting opportunity sizing and account prioritization. Relative AI Spend allocates that investment across geographies and industries without double-counting, enabling more accurate territory planning and market sizing.
These figures are intended as directional estimates derived from a transparent methodology rather than direct measurements. In practice, a well-founded estimate is often far more valuable in customer conversations and strategic planning than an unsupported number presented with unwarranted precision.
AI vendors evaluating account potential, along with teams responsible for territory planning and market sizing, stand to benefit most from this new intelligence.
Who benefits most: AI vendors sizing opportunity by account, and teams doing territory planning or market sizing in a category where the numbers have been largely absent.
40 million companies, on the path to 100 million
Company coverage in the HG ecosystem grew to 40 million in Q2 2026, on a path to a 100 million target by year end. The expanded company set is available in all HG product offerings.
Growth is built on a Unified Company Model that resolves multiple identities and company hierarchies into single canonical records, entity resolution controls that target a duplicate rate at or below 1.5 percent, and a focused effort to pull more long-tail and international companies through the Cloud Dynamics Sensor Network.
The goal is not a larger number on a product page. It is durable, high-quality coverage, where breadth does not come at the cost of accuracy. Weighted accuracy targets for firmographic fields are held at or above 85 percent as the set expands.
Who benefits most: Customers targeting long-tail companies, specific international markets, or any segment where HG’s previous company coverage left gaps.
What it adds up to
These recent updates share a direction. RGI Fabric is expanding what customers can reach (more contacts, more companies, more products), how precisely they can target (granular taxonomy, natively owned intent), and what they can quantify (AI spend across 14 categories).
All of these updates are delivered through the existing feed. No new tooling, no new integration work.
HG Insights built RGI Fabric as the data layer for the full GTM motion: company, technology, intent, spend, and now contacts, all connected by one identifier. Q2 moved that layer closer to complete. Explore what’s live: RGI Fabric.
Frequently asked questions
What is RGI Fabric?
RGI Fabric is HG Insights’ B2B data layer, delivering company, technology (technographic), intent, spend, and contact intelligence through a single API and data feed. Every record is tied to the HG Company ID, so data types connect without a separate matching step. It is built for RevOps and data teams embedding HG intelligence into their own pipelines and workflows.
How does contact data in RGI Fabric differ from a standard contact list?
Every contact in RGI Fabric is linked to the HG Company ID, which means contacts arrive pre-matched to the account’s technology installs, intent signals, and spend data. Contact details are refreshed at time of delivery, not pulled from a static export, and customers can filter to precise job functions, levels, and geographies before data is delivered.
What changed in HG's security taxonomy in Q2 2026?
HG expanded its security taxonomy from 3 broad categories to 14 granular subcategories across Identity and Access Management, Information and Threat Management, Vulnerability Management, and Cloud Security. Cloud Security is now a standalone category covering CNAP, CSPM, and CASB. The taxonomy is updated on an ongoing basis and crosswalked to Gartner, with IDC to follow.
What is AI spend data and how is it different from HG's IT spend data?
AI Spend is a new, standalone data domain in RGI Fabric, separate from HG’s existing IT Spend model. It projects AI-related spend across 14 AI-specific categories for 500,000-plus companies. It delivers both account-level totals (Absolute AI Spend) and geography or industry distributions (Relative AI Spend) without double-counting. The data arrives in the same feed as IT spend, with no new tooling required.
