HG Insights Launches AI Copilot for Enhanced Revenue Growth Intelligence

HG Insights has unveiled its AI-powered Market Analyzer and Copilot, a pioneering tool designed to transform how B2B tech vendors conduct market analysis and make Go-to-Market decisions. This innovative product harnesses the power of HG Insights' Revenue Growth Intelligence (RGI) Fabric, which encompasses over 28 billion market source files, 2 billion intent records, and data on more than 20 million companies. The RGI Fabric's advanced AI/ML technologies enable the extraction of deep customer insights, including technographics, cloud usage, and competitive intelligence, facilitating precise marketing and account targeting.

Rohini Kasturi, CEO of HG Insights Inc., emphasized the importance of data quality in AI guidance, stating, 'Our Revenue Growth Intelligence Fabric is constantly updated with billions of industry data points, corporate technographics, and buyer intent signals. This gives our customers an advantage they just can't get anywhere else.' The Market Analyzer and Copilot is tailored for strategic marketers, ABM teams, and sales strategy management, among others, offering granular market sizing, competitive analysis, and precise ICP definitions to enhance pipeline conversion.

Satish Grandhi, CTO of HG Insights Inc., highlighted the product's potential to bridge gaps between strategy and execution, with plans to expand use cases and integrate additional data types in future versions. The Market Analyzer addresses the limitations of traditional market surveys by providing interactive AI-assisted workspaces and data visualizations, among other features. Available under a hybrid, usage-based pricing model, the tool is set to empower B2B technology and growth leaders with actionable insights for optimizing campaigns and GTM execution.

The launch of the Market Analyzer and Copilot underscores the growing importance of AI and data analytics in driving revenue growth and GTM success in the B2B tech sector. According to a 2024 Gartner report, the adoption of GTM data applications is expected to rise significantly, with 60% of B2B organizations projected to utilize multisource data enrichment by 2027 to improve pipeline velocity.