HG Insights launches AI platform for revenue growth

HG Insights has launched a Revenue Growth Intelligence platform and an agent-building product for go-to-market teams. The new products combine several sales and marketing data types in one system.

Revenue Growth Intelligence, or RGI, brings together technographic data, buyer intent, IT spend analytics, buying-centre information and contact intelligence. HG Insights has also opened early access to RGI Agent Builder, designed to connect with Microsoft Copilot, Salesforce Agentforce and OpenAI through Model Context Protocol.

The launch reflects a wider push by business software providers to combine data, workflow tools and artificial intelligence into a single operating layer for sales, marketing and revenue operations teams. Vendors are trying to reduce the number of separate products used for account targeting, lead scoring, contact sourcing and sales research, while also offering AI assistants that can act on the underlying data.

The RGI platform includes three AI copilots: Market Analyser, Data Studio and Sales Copilot. They are aimed at different parts of the go-to-market process, from market sizing and account selection to lead prioritisation and seller research.

Market Analyser is intended for chief marketing officers, revenue operations teams and strategy leaders assessing market opportunity, segment selection and territory planning. Data Studio combines customer data with HG Insights information to build predictive models for lead and account scoring. Sales Copilot surfaces account-level intelligence for sales teams and supports account research and sales plays.

Contact Data

A notable part of the announcement is the addition of contact intelligence within the same platform. Users can identify, enrich and activate contacts inside existing workflows rather than buying contact data from separate suppliers.

The contact function can feed systems including Salesforce, HubSpot, Gong, Outreach and Salesloft. This puts HG Insights more directly into a crowded market where revenue software providers are competing to control not only account intelligence, but also the contact data and workflow links that sales teams use every day.

Executives framed the launch as a response to pressure on go-to-market teams to deliver more growth with tighter budgets and fewer people.

"GTM teams are being tasked to grow revenue with fewer resources than ever before, but the answer can't be just spending on more tools, data, and dashboards," said Rohini Kasturi, CEO of HG Insights.

She added: "AI in GTM simply amplifies whatever data you feed it. If it is shallow or fragmented, you just scale noise and mistakes. The RGI Platform, Fabric, and our agentic infrastructure were built to flip that script. For the first time, GTM teams have a unified Revenue Growth Intelligence Platform where deep, connected intelligence doesn't just inform decisions, it drives them into precise, scalable execution."

The new products are built on what HG Insights calls its RGI Fabric, which acts as a shared data layer. Customers can combine their own first-party and third-party data with HG Insights data so the copilots and agents can work from a broader set of information.

Analyst View

External industry observers said the company is trying to move beyond data supply and into workflow execution.

"HG Insights has long been a leader in the B2B GTM data application space. Its Revenue Growth Intelligence Fabric, a foundational achievement in its own right, delivers exceptional market, account, technology, and buyer data and insights," said Michael R. Levy, principal at GZ Consulting.

He added: "With the launch of their integrated RGI Platform, which fully activates the Fabric, more companies will adopt the Platform to advance their GTM analytics, operational efficiencies, and agent workflows."

That shift matters because many sales and marketing technology providers have built businesses around narrow data categories such as intent, firmographics, contacts or territory planning. By combining these functions in one environment, HG Insights is trying to sell a broader system to enterprise buyers seeking fewer integrations and more consistent data across teams.

The company also used the launch to emphasise support for AI agents rather than only AI assistants. RGI Agent Builder gives customers tools and pre-built agents to create custom automations that draw on HG Insights data and operate across external software products. In practice, go-to-market teams could use the system to trigger research, segmentation, prospecting or account actions from connected applications.