HG Insights sells intelligence on the technology companies have installed, including products that leave no trace on a public website, with IT spend, cloud consumption, contract and buyer intent data around it. It is built for the seller of infrastructure, enterprise software or services who needs to know what runs behind a prospect's firewall.
This guide is for teams weighing a different kind of source: technographic data detected on company websites, with every change dated, and joined to hiring, intent and announcements on one company index. It sets out what HG Insights publishes, what it is built for, what other vendors offer, and how the stack on a company's website and the tools named in its job postings combine into one dated view of its technology.
What HG Insights offers
HG Insights calls its category Revenue Growth Intelligence. Its packaging page lists five solutions: the RGI Platform, with the modules Market Analyzer, Data Studio and Sales Copilot; the RGI Fabric, which is the data; the RGI Agent Builder, which connects AI agents to the Fabric over MCP; Intent-Driven Leads; and Customer Voice, for review sourcing, review campaigns and content.
Among the data types the RGI Fabric page names are technology installs, IT spend, AI spend, buyer intent, contact intelligence, firmographics, cloud consumption, contracts and buying centres. On technology installs it describes detection behind the firewall, using AI to capture and analyse technology job postings, comments, contracts and other sources, with the intensity and locations of use. Its page on why to choose HG Insights adds to the method what it calls global sensor network traffic monitoring, and the analysis of public structured and unstructured sources.
The Fabric page also describes spend forecasts for the next twelve months in more than 140 categories across hardware, software, services and communications. It describes buyer intent that incorporates behaviour signals from TrustRadius, and verified contacts with emails and phone numbers.
Delivery, on the Fabric page, is by REST API, by connections to data warehouses including native S3 connections, by integrations with Salesforce and HubSpot and by MCP for AI tools, beside the platform itself. The pricing guide describes Starter, Growth and Enterprise plans structured around seats, credits and leads processed. It states that no pilot or free trial plan is available at present, and it sets out the contract terms.
What HG Insights is built for
- Technology that does not face the web. A database or an ERP system leaves nothing on a public website. HG Insights describes finding products that are difficult to detect, using job postings, contracts and other sources.
- Spend. HG Insights describes IT and AI spend forecasts by category, and a Market Analyzer to size your market.
- Cloud, contracts and buying centres. HG Insights describes cloud consumption, contracts with systems integrators and product usage by department and location.
- Intent from buyer behaviour. Its intent incorporates buyer behaviour signals from TrustRadius, such as peer review engagement and buyer community activity.
- Contacts. Verified contacts are part of the Fabric.
- A working platform. Market sizing, predictive lead and account scoring and a sales copilot come as applications.
Why teams look for an alternative
Each reason is a difference of fit, and none is a fault in HG Insights.
- Scope. If what you sell or track faces the web, such as advertising, analytics, commerce, marketing and CRM tools, website detection observes it directly and dates each change. Fokals records every adoption, removal and platform migration as a dated event in Technology Changes.
- A different kind of data. HG Insights describes its datasets as AI-driven and its spend as forecast. A research or product team may need another kind of record: an observation of a public fact, with its source and the time it was seen, left unrevised. Fokals writes its daily and weekly datasets once, after the period closes, and never revises them.
- Audience. HG Insights says on its home page that it is built for B2B technology teams. A fund has other needs: security identifiers on every listed company, and tables it can use point-in-time. Fokals carries ticker, MIC, ISIN, LEI and FIGI on every listed company.
- Licence fit. HG Insights describes plans built on seats, credits and leads processed. A data platform that will embed or redistribute data needs an agreement written for that use, from whichever vendor it chooses.
HG Insights and Fokals side by side
The HG Insights column restates the pages linked above, as read on 4 October 2026. The Fokals column follows the marketing stack dataset and the methodology.
| Aspect | HG Insights | Fokals |
|---|---|---|
| What it is | Revenue Growth Intelligence: a platform, a data fabric, an agent builder, intent-driven leads and Customer Voice | Company data: firmographic, technographic, hiring and intent datasets on one company index |
| Technology data | Technology installs, including products detected behind the firewall, with intensity and locations | A curated catalogue of web technologies, from advertising and analytics to commerce, CRM and infrastructure, each with its first-seen and last-seen dates, and a dated event for every adoption, removal and platform migration |
| Sources for technology | Job postings, comments, contracts and other sources analysed with AI; global sensor network traffic monitoring | Its own detection across page content, scripts, network requests, response headers and DNS records, processed in-house; the tools named in each company's job postings |
| Market measures | IT spend forecasts in more than 140 categories, AI spend, cloud consumption and contract data | Weekly Market Series on same-store cohorts: technology prevalence by industry and country, with growth and an index |
| Intent | Layered buyer intent that incorporates behaviour signals from TrustRadius | A weekly 0 to 100 score per company and topic, across a curated taxonomy of buying topics in nine groups, from the company's own dated actions |
| Delivery | Platform, REST API, data warehouse and S3 connections, Salesforce and HubSpot integrations, MCP for AI tools | REST API and bulk files as JSON, JSON Lines or CSV, delivered direct; a signed-in dashboard for browsing |
| Licensing | Starter, Growth and Enterprise plans structured around seats, credits and leads processed | Written agreement for internal use, embedding in a product or redistribution |
Fokals is delivered direct, by REST API and as bulk files, which you load into your warehouse or CRM with its own loader. The delivery page describes both routes, and the comparison of company signals and third-party intent data explains the two ways of building intent.
Two views of a company's stack on one company ID
Fokals delivers two dated views of a company's technology, joined on one company ID. The first is the stack detected on the website. It covers the customer-facing tools and the services a domain's records reveal: a mail provider, a workspace and the domain verifications a company has made with software vendors. Each appears in Technology Stack with its first-seen and last-seen dates.
The second is the tools named in job postings. The hiring dataset keeps the tools each posting names in Job Postings, and labels the tool families a posting names or requires, among them Snowflake, Databricks, SAP, Workday, AWS, Azure and Google Cloud. Hiring Activity counts the open postings that name each tool, day by day. The query below counts, for each company, the open postings labelled with one family.
-- Postgres syntax for the JSON cell; adapt it to your warehouse
select
company_id,
company,
count(*) as open_postings_naming_snowflake
from job_postings
where closed_at is null
and labels ->> 'tool_snowflake' = 'true'
group by company_id, company
order by open_postings_naming_snowflake desc;For Acme Robotics, an invented company, an illustrative result would be six open postings. Four properties of the record decide how to read it.
- A posting is the employer's own statement. A posting that names a tool is the employer's own public statement that the role works with it. It is evidence that the product is in use or being adopted.
- A posting dates the evidence. Each posting is dated from the day it was first observed to the day it closed, and carries its job function, seniority and location, so the count reads as a series: the tool appearing in more roles, in new functions and in new countries.
- Read the count with the hiring volume. Hiring Activity gives each company's open postings by day, so the share of roles that name a tool can be set beside the raw count.
- A company's own products are left out. A vendor's postings name what it sells, so its own products are excluded from the tools it is taken to use. Labels are produced under named, frozen versions, which keeps a count comparable from week to week.
The same record sizes a market by count. HG Insights describes total addressable market analysis in its Market Analyzer, and spend forecasts in its data. In Fokals data, Market Series states technology prevalence as websites per 100 in a stated cohort, by industry and country, and Technology Stack gives the companies behind the rate. The measure is presence on websites, which is the basis for an installed-base estimate. The guide to sizing a market with technographic counts works through the denominators.
The two views answer a question together. Take an illustrative case: Acme Robotics adopts a commerce platform on its website and, in the same month, opens roles that name a data warehouse. Technology Changes dates the first, Job Postings dates the second, and Intent Scores turns both into a weekly score per topic with the evidence attached.
Other alternatives worth weighing
Each line describes a vendor from its own website, as read on 4 October 2026.
- BuiltWith. BuiltWith profiles websites against a catalogue that its home page puts at more than 127,000 internet technologies, with historical usage, lists, APIs and CRM integrations; see the guide to BuiltWith alternatives.
- TheirStack. TheirStack infers the technologies a company uses from job postings and offers them with job data through an app, an API, webhooks and datasets; see the guide to TheirStack alternatives.
- ZoomInfo. ZoomInfo includes technographic and intent data in a go-to-market platform built on a contact and company database; see the guide to ZoomInfo alternatives.
- Wappalyzer. Wappalyzer looks up the technologies behind a website you submit and builds lead lists from them, through its website, APIs, browser extensions and CRM integrations.
Frequently asked questions
What does HG Insights do?
HG Insights describes itself as a provider of Revenue Growth Intelligence, and says on its home page that it is built for B2B technology teams. Its data fabric covers technology installs, IT and AI spend, buyer intent, contacts, firmographics, cloud consumption and contracts. Its platform adds market sizing, predictive lead and account scoring and a sales copilot. Its about page records the acquisition of TrustRadius in June 2025, which it describes as integrating buyer intent data, in-market leads and validated customer voice content.
What is behind-the-firewall technographic data?
It is data on technology that sits behind a company's public website: databases, ERP systems, infrastructure and other internal products. HG Insights uses the term for the products it calls the most difficult to detect, which it describes finding by analysing job postings, comments, contracts and other sources. Website detection covers the customer-facing stack, and job postings carry public evidence of the tools used inside.
When is website technographic data the right source?
When the technologies that matter face the web: advertising, analytics, commerce, marketing and CRM tools. Fokals detects a curated catalogue of these technologies on company websites, gives each its first-seen and last-seen dates and records every adoption and removal as a dated event. It adds the tools named in each company's job postings, so the customer-facing stack and the evidence of internal tools sit on one company ID.
How do you find out what software a company uses internally?
Three kinds of public evidence help. Job postings name the tools a role works with. DNS records show a mail provider and the domain verifications made with software vendors. Announcements and filings sometimes name a supplier. Read together on one company ID, they give a dated picture of the tools a company works with. Commercial install datasets, such as the one HG Insights describes, analyse sources of this kind to cover products a website never shows.
Is there a free trial of HG Insights?
Its pricing guide states that no pilot or free trial plan is available at present, and it sets out the contract terms. Terms change, so read the page before you plan around them. Fokals sends sample data for the companies you track on request, with the data dictionary and methodology, and is licensed by written agreement.
How do you size a technology market from website data?
Count the websites that run a tool and state the count as a rate over a known cohort. In Fokals data, Market Series reports technology prevalence each week as websites per 100 in a stated cohort, by industry and country, on same-store cohorts, with the previous window, growth and an index. Technology Stack lists the companies behind each rate, so a share can be traced to the accounts that make it up.
The queries and code on this page are examples to adapt. Test them in your own environment before you rely on them.
What this page says about the products it names was checked against their public documentation on 4 October 2026. Product and company names are trademarks of their owners. Fokals is not affiliated with them or endorsed by them.