A RevOps leader at a B2B tech company spends a piece of every quarter doing the same thing: rebuilding the target account list. That means pulling from the CRM, layering on intent signals, and cross-referencing what reps flagged on recent calls. It’s time-consuming work. And when it’s done, there is still no clear answer on whether the list actually reflects the full market opportunity is still unanswered.
That gap, between knowing a market exists and knowing which accounts within it are ready to engage, is where most pipeline strategies break down . It’s not a strategy problem. It’s a data problem.
The Revenue Growth Intelligence Fabric is HG Insights’ revenue intelligence layer, built to give high-performing GTM teams a continuously updated, verified view of the market. It brings together technographic data, intent signals, and behavioral context across millions of companies, so every account carries actionable intelligence rather than requiring a research cycle to produce it. For revenue teams, that means moving from list-building to execution, without the lag in between.
As of March 31, 2026, RGI Fabric covers more than 25 million companies. That milestone matters because of what this level of coverage enables. There’s now a data layer dense enough to support high-confidence GTM execution across virtually any market, segment, or territory.
TL;DR: RGI Fabric is HG Insights’ revenue intelligence layer, now covering 25M+ companies with over 240 million verified technology installations tracked over time. It gives GTM teams the account-level intelligence, technographic data, intent signals, and behavioral context needed to prioritize, target, and act with precision at scale.
RGI Fabric: The intelligence layer that turns data into direction
Most B2B GTM teams are not short on data. They’re short on data they can trust and act on immediately.
RGI Fabric was built to solve the data problem at its foundation, not at the symptom level. It works as a continuous intelligence layer, pulling together technographic data (verified records of the technology products companies have installed) alongside intent signals and behavioral data, then keeping that picture current across millions of accounts. And it powers the RGI Platform. The data isn’t static. It’s maintained, verified, and ready when a rep or analyst needs it.
That coverage now spans over 25 million companies. At that scale, your team can enter any market segment or territory with account context already built in.
It’s true that some platforms claim databases in the hundreds of millions. But breadth alone isn’t the differentiator. It’s the depth you can go with the data that matters. A company record without verified technology context is just a name on a list. RGI Fabric’s 25 million companies each carry in-depth account-level intelligence: verified installations, historical stack behavior, and intent signals. That encompassing view allows teams to skip the surface-level outreach and start directly with pain points happening in real time.
Freshness is the advantage most data providers can’t offer
Scale is one part of the equation. Timeliness is another, and it’s the part that most often determines whether an outreach lands or misses.
RGI Fabric includes more than 126 million verified technology installations within the last two years. That figure represents active, continuous verification of what companies are running right now, within a window recent enough to reflect current buying conditions rather than a market snapshot from 3 years ago.
For revenue teams, data freshness creates a specific kind of edge. It creates the ability to identify accounts where something has recently changed. A company that just adopted a new platform, swapped out a legacy tool, or expanded its technology footprint is often in a different buying posture than one that hasn’t touched its stack in two years. Recognizing that movement early, before it shows up as a qualified lead in a competitor’s CRM, is how teams get to prospects at the right moment.
Why fresh data matters for GTM teams
High-performing GTM teams win on timing as much as targeting. When a company swaps out a core platform or adds a new tool, that often signals broader organizational change: new budget, or new priorities. Teams that can identify those moments early have a structural advantage in pipeline building.
The difference between reaching a prospect at the moment of change versus three months later can be the difference between creating a deal and losing one.
What does this actually change for your team?
In practice, this shifts the prospecting motion. Rather than running the same account list through the same outreach cycle every quarter, reps can prioritize accounts that have made a recent change over ones that simply look similar to last quarter. That kind of signal-based prioritization reduces wasted outreach, tightens the loop between data and execution, and gives reps a sharper answer to “why now” on every call.
The full technology journey of every account
Understanding where an account is today is valuable. Understanding where it’s been offers a different kind of advantage.
Having tracked more than 240 million technology installations over time, RGI Fabric provides a longitudinal view of how companies build, expand, and replace their technology stacks. That historical visibility gives GTM teams something they rarely have: the ability to anticipate what an account is likely to do next, rather than simply reacting to what it’s doing now. Here’s how it works:
- Adoption patterns reveal budget cycles.
- Replacement cycles surface competitive displacement windows.
- Expansion patterns point to accounts that are growing into adjacent solutions.
The depth of the product catalog makes this precision possible at scale. With coverage across 25,000+ products and 11,000+ vendors, RGI Fabric provides context across the full spectrum of the enterprise technology landscape. Whether an account runs niche vertical software or a sprawling multi-cloud stack, there’s enough data to build genuine relevance into every interaction.
How billions of signals can create clarity, not noise
The B2B data industry has a clarity problem.
Billions of intent and behavioral signals flow through modern GTM platforms every day. The challenge is knowing which ones indicate genuine buying momentum and which are background noise. Without the right infrastructure beneath those signals, it’s hard to tell whether they’re generating confusion or insight.
The RGI Fabric gives signals context. When you know a company’s technology footprint, its recent installation activity, and its historical stack behavior, an intent signal stops being an isolated data point. It arrives with a backdrop that tells your team why this account is active and what kind of conversation is most likely to resonate. The result is clarity that produces faster decisions, with less time spent on pre-call research and more time spent on meaningful engagement.
That shift, from high-volume signal processing to high-confidence account prioritization, is what separates revenue teams that move quickly from those that move cautiously.
RGI Fabric keeps expanding
HG Insights is already working to scale RGI Fabric well beyond 40 million companies, with expansion focused on both breadth and depth. We’re looking to add technology sites for more granular installation visibility, improved entity resolution through parked and inactive domain matching, and full install history for lifecycle and trend analysis. Each addition makes the accounts already in the Fabric more actionable and extends the coverage to new markets, regions, and segments that were previously underrepresented.
For GTM teams, the practical implication is clear — the intelligence layer powering your targeting, segmentation, and outreach is getting stronger. And the blind spots that limited earlier data generations are closing.
Building a high-performing GTM pipeline starts with knowing your market completely. HG Insights helps revenue teams prioritize the right accounts, engage them at the right moment, and act on data they can trust. See how RGI Fabric can support your GTM strategy.
Frequently Asked Questions
What is RGI Fabric?
RGI Fabric is HG Insights’ revenue intelligence layer, providing GTM teams with technographic, intent, and behavioral data across 25M+ companies. It aggregates and verifies technology installation records alongside billions of signals to help revenue teams prioritize accounts, target with precision, and make faster, higher-confidence decisions at scale.
How does technographic data improve GTM pipeline performance?
Technographic data reveals the specific tools and technology products a company has installed, giving GTM teams the context to identify fit, time outreach around technology changes, and personalize messaging based on actual stack composition. This precision improves conversion rates and reduces prospecting time by replacing generic outreach with account-specific context grounded in verified data.
Why does data coverage scale matter for B2B GTM teams?
Broader coverage reduces blind spots in account segmentation and territory planning. When a revenue intelligence platform covers 25M+ companies, GTM teams can prioritize accounts across more markets without worrying that high-potential prospects are missing from their view. Scale also improves signal reliability, since patterns become more statistically meaningful across larger datasets.
What is the difference between intent data and technographic data in GTM?
Intent data reflects that a company is actively researching a topic or solution category. Technographic data reveals what that company is already running in its technology stack. Used together, they provide both the signal that an account is in-market and the context to engage them with a message that speaks directly to their existing environment and likely next move.
