Principal UX Designer

HG Insights launches Contextual Intelligence Platform, bringing precision to ai-driven GTM revenue. Updated platform gives GTM teams and AI agents a unified, connected picture of markets, accounts, and buyers to compete, win, and grow with precision. HG Insights launched the Contextual Intelligence Platform, closing the context gap that leaves autonomous AI agents confidently acting on fragmented, isolated data. By giving GTM teams and agents one unified, connected picture of markets, accounts, and buyers, grounded in decision-ready intelligence, it lets them compete, win, and grow pipeline and revenue faster. The launch also marks a new chapter for HG Insights' brand with its integrated platform debuting alongside a refreshed identity that reflects where the company and the market are headed. "Every GTM team is adding the same agents, the same tools, the same playbooks. When the infrastructure is equal, whoever knows the account best wins," said Rohini Kasturi, CEO of HG Insights. "Most vendors still sell disconnected data and call it intelligence. We've built the intelligence layer for autonomous, agentic GTM. Our platform connects the data, gives it context, and derives decision-ready signals that power teams and AI agents to execute with precision." AI agents are now table stakes in enterprise GTM. The differentiator is the completeness, depth, and context of the intelligence behind them. Most AI agents working in GTM draw on isolated, fragmented internal and commodity datasets that lack the entity resolution and context required for accurate interpretation. The same company is able to show up as multiple accounts, and a subsidiary's spend would therefore be missed or double-counted under the wrong parent. An intent signal from an account that already owns the product could be flagged as new business instead of an expansion, and one from a competitive account can be chased as winnable. Marketing and sales are able to rely on job titles rather than evidence of who owns the product. Without that context, an agent returns a fast, confident answer that is fundamentally wrong. As more GTM work gets automated, those errors scale. HG's Contextual Intelligence solves this problem by connecting technology installations and usage, spending, buyer intent, buying centers, and contacts to an account and its corporate hierarchy. It tracks changes over time and computes new signals that no individual data source can provide. This gives teams and AI agents the context, combined with a customer's first-party data, to distinguish opportunities, prioritize accounts and leads, and guide GTM execution with precision. "Account data still lives across a dozen separate systems inside most organizations, and that fragmentation matters even more as agentic autonomy increases and agents become embedded within GTM workflows. Accurate account and contact resolution, combined with comprehensive buyer context, determines whether an agent can reason effectively and take actions that drive pipeline growth. Contextual intelligence will drive GTM outcomes and deliver compounding value as the agents and applications on top of it evolve," said Michael Levy, analyst at GZ Consulting. What's new in the Contextual Intelligence platform: * Fabric, the data and intelligence foundation of the platform, has expanded its company, technology, and spend coverage and now includes funding and M&A intelligence, automatic hierarchy updates, and contacts matched to the buying centers that own a given technology. A new Momentum signal has been added that shows whether a vendor, a portfolio, or a product is gaining or losing ground. Each of these additions helps GTM teams and agents make more precise GTM decisions. A declining footprint, spend, and intent can flag a competitive displacement opportunity, while growth across all three shows a competitor gaining ground. Fabric can be licensed on its own and delivered by API or Direct Feed into a customer's data warehouse, CRM, applications, or models. * HG Copilots, including Market Analyzer, Data Studio, and Sales Copilot, help GTM teams assess markets, optimize coverage, target accounts, build audiences, and engage buyers. Sales Copilot now tailors its guidance around each customer's own products, buyers, and sales motions. A rep opens a ranked account list with research, engagement history and intent signals, suggested sales play, product pitch, and buyer committee contacts, all with clear reasoning. That same transparency now extends to predictive AI scoring across HG Copilots. Unlike black-box scoring, Fit, Need, and Intent models update dynamically to sharpen lead and account prioritization while staying deterministic, explainable, and adjustable. * HG Agents automate time-consuming GTM tasks such as expansion sizing, territory coverage, account research, signal monitoring, brief and outreach drafting, and enrichment that used to take hours of manual data gathering, mapping, and analysis. HG Agents are reachable from Slack, Microsoft Teams, the HG interface, or embedded directly into a customer's own application using standard Model Context Protocol (MCP). A new HGSuperagent interprets user requests, selects the right specialist agents, and assembles the result with every claim cite-sourced, so a user never has to know which agent to call. An account research brief can return over 30 data points within 90 seconds. A team that once had time for only its priority accounts can now cover an entire territory. * HG MCP Server gives customers' AI agents and applications direct access to HG's contextual intelligence without requiring them to first build a separate data infrastructure. Through one secure, governed connection, they can query market, account, and buyer intelligence alongside TrustRadius product reviews, SEC filings, federal contract data, and other live web research. They can also draw on a growing library of curated workflows, trigger and monitor HG Agents, and query the Fabric for custom analysis, market sizing, ICP segmentation, ABM, and campaign design. Every result traces back to its source data, so users and agents can verify what's behind their GTM decisions. * Customer Voice, powered by TrustRadius, further extends the platform. As previously announced, it feeds the Fabric with downstream buyer-intent signals from a community of over 12M technology buyers actively researching products. It also accelerates the collection of customer-verified, in-depth reviews and ratings for social proof, SEO, and AI citeability, plus GEO monitoring to track how vendors show up across AI search. Expanding the AI Ecosystem HG Insights extends Contextual Intelligence across the enterprise AI ecosystem, so customers do not have to move their data, rebuild workflows, or standardize on one AI platform to use it. Fabric, HG Copilots, and HG MCP Server are available through AWS Marketplace, which simplifies procurement and lets eligible customers apply existing cloud commitments toward HG Insights. HG MCP Server brings the same intelligence into Amazon Quick, Anthropic, OpenAI, and Microsoft. Enterprises run multiple models, agents, and AI platforms, and the interface varies by team. The GTM intelligence behind those experiences does not have to vary. HG separates the intelligence layer from the interface, so an analyst in Microsoft, a GTM engineering team building with OpenAI, and a rep in an HG Copilot all work from the same picture of markets, accounts, and buyers.

MarTech360'S weekly news roundup with power Digital Marketing, monks, Meta, HG Insights, google, salesforce, WPP Media, Particular Audience, and more! Here is MarTech360's weekly roundup of the top news from global markets. In this fast-paced world, breaking down information helps readers grasp the nuances that follow the news. Top 10 news from this week. * In media & growth news this week... AI-powered retail media personalisation platform Particular Audience has launched its Trade Media solution, which brings the flexibility, measurability and control of digital media to online supplier-funded promotions. Apollo, the AI go-to-market system, unveiled the next evolution of GTM software. As businesses increasingly turn to AI to drive revenue, Apollo has built a fundamentally different model for GTM: one where data, intelligence and execution operate continuously in one connected system. * In stack & platform news this week... HG Insights launched the Contextual Intelligence Platform, closing the context gap that leaves autonomous AI agents confidently acting on fragmented, isolated data. By giving GTM teams and agents one unified, connected picture of markets, accounts, and buyers, grounded in decision-ready intelligence, it lets them compete, win, and grow pipeline and revenue faster. PostcardMania, the $100+ million marketing technology company serving more than 130,000 clients nationwide, announced that it is adding a new search engine and AI search optimization service to its flagship multichannel marketing campaign, Everywhere Small Business. * In CXO Moves news this week... Google has named Kathryn Marshall as Associate Product Marketing Manager, adding her to the company's product marketing organization as it continues to develop marketing programs around its technology and product portfolio. Salesforce has named Virginia Sharma as Chief Marketing Officer for Missionforce, bringing an experienced technology marketing executive into a leadership role focused on the company's public sector business. Sharma will lead global public sector marketing, with responsibilities spanning product marketing and field marketing. WPP Media has promoted Isobel MacDougall to Commerce Director, expanding her responsibilities within the agency's commerce function as retail media and commerce marketing become increasingly connected to broader media strategies. Power Digital Marketing has named Yenda Rivas as Associate Account Director, expanding her responsibilities within the agency's client services organization. Monks has promoted Andrew Vu to Group Director, Media Architecture, expanding his responsibilities within the agency's media and digital marketing operations. Meta has named Chirantan "CJ" Desai as Chief Enterprise Platform Officer, placing him at the helm of the company's newly established enterprise business. Desai will report directly to Meta CEO Mark Zuckerberg and will lead efforts to bring Meta's AI technologies to businesses and developers. * article of the week... The biggest change in digital advertising is not where brands advertise. It is what they can now know about the shopper before, during, and after the ad. The collapse of third-party cookies and the rise of digital commerce pushed brands toward retailer-owned data. That gave retail media networks a powerful role close to the point of purchase. However, the same data advantage is now moving beyond retailer websites and apps, creating a broader commerce media ecosystem. Retail media has outgrown the media budget sitting quietly inside a retailer's advertising portal. Brands now use retail audiences across CTV, display, search and onsite placements, while sales teams still chase retailer targets and brand teams manage awareness separately. The result is often more activity, but not necessarily more control.