

This episode of the Data Exchange Podcast features Rohini Kasturi, CEO of HG Insights. The discussion covers HG Insights’ mission, their approach to technographic intelligence, recent acquisitions and product integrations, and their strategy for partnerships and market growth.

HG Insights is a revenue intelligence company helping B2B go-to-market teams understand their markets, identify the right accounts, and act with precision. Their Revenue Growth Intelligence Fabric aggregates technographic data, spend intelligence, buyer intent, partner intelligence, and contract intelligence into a single platform. With over 15 years of data curation from more than 50 sources and coverage tracking 64,000 products across 100,000+ B2B companies, HG Insights powers both raw data delivery for enterprise data science teams and a ready-made SaaS platform with integrated agentic apps for sales, marketing, and RevOps.
The company’s mission is to help customers drive revenue growth through intelligence, measured across three dimensions: top-line growth, customer retention, and operational efficiency. All solutions fall under “Revenue Growth Solutions,” including the Revenue Growth Intelligence Platform and the Revenue Growth Intelligence Fabric.
HG Insights emphasises going beyond high-level market sizing to define the Serviceable Obtainable Market and map the Ideal Customer Profile for prescriptive targeting. Technographics enable precision in Account-Based Marketing by revealing white space and competitive displacement opportunities.
The data is differentiated by 15 years of curation from over 50 sources, offering time-series technographics. The Revenue Growth Intelligence Fabric combines this with spend intelligence and multiple types of intent data.
HG Insights now serves two main customer cohorts: large enterprises with data science teams who want raw third-party data to enrich with first-party assets, and smaller companies that need a ready-made SaaS platform. Three agentic apps are available:
MadKudu was acquired because it had already built agentic Sales and RevOps apps on top of HG data, enabling multi-persona coverage the prior platform could not serve.
TrustRadius brought B2B buyer intent data and reviews for 64,000 products. 70% of in-market buyers convert within three months, making this data highly predictive for the Sales Agentic App.
HG shifted toward OEM and reseller models to capture market opportunity faster. The core criterion for any partnership is end-customer value. Curated marketplaces like SpringDB’s Data Exchange and Snowflake’s Data Marketplace deliver speed, scale, and favourable economics.
HG’s dataset is global, progressing toward tracking 64,000 products across at least 100,000 B2B companies. Business hierarchy and industry-standard taxonomy mapping are in place. Contact enrichment via partnerships and skills data are both planned additions.
Announced in July, this consolidated offering aggregates technographics, three types of intent, spend intelligence, partner intelligence, and contract intelligence at the account level for a comprehensive view of any prospect.
By identifying what technologies a company already uses, technographics pinpoint white space and competitive displacement. This precision is central to any Account-Based Marketing strategy seeking to go beyond broad intent signals.
HG positions its multi-dimensional, high-quality data as the necessary foundation for effective agentic applications, whether built by customers, partners, or OEMs. The quality of underlying data directly determines the quality of agent output.
Large enterprises consume raw data assets to build their own automations alongside first-party data. Smaller, leaner companies use the ready-made SaaS platform with three integrated agentic apps covering market analysis, RevOps, and sales execution.
HG has partnered with contact providers to include enriched contacts directly in the platform, powering the Sales Agentic App. Skills data is also planned, adding another dimension to prospect intelligence and targeting precision.
