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HG Insights Launches Contextual Intelligence Platform, Bringing Precision to AI-Driven GTM Revenue

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Updated platform gives GTM teams and AI agents a unified, connected picture of markets, accounts, and buyers to compete, win, and grow with precision

SANTA BARBARA, Calif., Oct. 6, 2026 /PRNewswire/ — HG Insights today 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.

Pricing and Availability

The Contextual Intelligence Platform, including Fabric, HG Copilots, HG Agents, and the HG MCP Server, is available starting October 6, 2026. The platform is priced on a consumption-based model built around Intelligence Credits, giving customers flexibility, scalability, and control as they adopt Contextual Intelligence wherever they are in their agentic GTM journey. HG Copilot modules start at $22,000, with additional packages sized for enterprise needs. For full pricing details, contact HG Insights or visit hginsights.com.

About HG Insights

HG Insights delivers Contextual Intelligence for Agentic GTM Revenue, giving teams and AI agents a complete, connected, trusted view of markets, accounts, and buyers. The platform unifies technology, spend, intent, account hierarchies, buying centers, competitors, contacts, and change over time into decision-ready, agent-activated intelligence. It helps companies prioritize, engage, win, and expand the right accounts to accelerate pipeline and revenue at scale. HG Insights grounds the GTM decisions that drive over $1.5 trillion in revenue across Fortune 500 Technology companies.

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NovoLINC Demonstrates 400 W/cm² Cooling on Warped Silicon with MaxLINC™

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MaxLINC™ sustains 400 W/cm² heat flux and 3,300 W total power on production-representative silicon with ~150 µm warpage, demonstrating a path to overcoming a critical thermal barrier for next-generation AI accelerators.

PITTSBURGH, Oct. 6, 2026 /PRNewswire/ — NovoLINC, a provider of advanced thermal solutions for AI computing, today announced a significant high-power demonstration of its MaxLINC™ thermal interface material, achieving 400 W/cm² uniform heat flux and 3,300 W total power on a production-representative silicon test die with approximately 150 µm of warpage.

The demonstration was conducted using a specialized single-phase direct liquid cooling cold plate from CoolIT, an Ecolab Company. Throughout the test, the complete thermal stack maintained the silicon junction temperature below 90°C, demonstrating MaxLINC’s ability to provide highly effective heat transfer even when significant die warpage creates challenging mechanical and thermal interface conditions.

As AI processors move toward higher power and larger package sizes, silicon and package warpage are becoming increasingly important thermal design challenges. Even small variations in flatness can create uneven contact at the interface between the semiconductor and cooling system, increasing thermal resistance and potentially creating localized hot spots.

MaxLINC is engineered to address this challenge through NovoLINC’s proprietary nanostructured composite architecture, combining ultra-low thermal resistance with mechanical compliance. The technology is designed to maintain effective thermal contact across non-flat surfaces, enabling efficient heat transfer from high-power semiconductor devices into advanced cooling systems.

“NovoLINC is actively working with companies across single-phase direct liquid cooling, two-phase direct liquid cooling, and immersion cooling,” said Dr. Sheng Shen, CTO of NovoLINC. “These results demonstrate a clear thermal roadmap: combining NovoLINC’s advanced thermal interface technology with today’s and future liquid cooling systems can provide a pathway to enabling advancement of higher-power chips and AI server architectures.”

“Data center operators are making long-term infrastructure decisions today, and they need confidence that the cooling they deploy will keep up with future silicon,” said Ben Sutton, Product Marketing Manager at CoolIT™. “Pairing CoolIT’s advanced cold plate technology with NovoLINC’s MaxLINC shows that single-phase DLC can handle high-heat-flux processors well into the next decade, without the cost and complexity of switching cooling architectures.”

The demonstration reached 3,300 W of total device power, highlighting the ability of MaxLINC to address the rapidly increasing thermal demands of next-generation GPUs, CPUs, ASICs, and other AI accelerators.

“AI compute is advancing toward multi-kilowatt processors, but extracting that heat efficiently from increasingly large and mechanically complex packages is becoming one of the industry’s most difficult challenges,” said Dr. Ning Li, CEO of NovoLINC. “Our goal with MaxLINC is to remove the thermal interface as a limiting factor, and to give chip designers, system designers, and cooling partners greater freedom to push compute performance and power density to the next level.”

The 400 W/cm² demonstration builds on NovoLINC’s development of MaxLINC for high-performance semiconductor thermal interfaces. The platform is designed for use across the thermal pathway, from direct chip-to-cooling interfaces and chip-to-package heat spreaders to interfaces between packaged devices and cold plates or other advanced cooling hardware.

MaxLINC samples are available for customer evaluation and qualification.

About NovoLINC

NovoLINC is a Pittsburgh-based advanced materials company developing next-generation thermal interface solutions for AI computing and other energy-dense electronic systems. Spun out of Carnegie Mellon University, NovoLINC has developed a proprietary nanostructured materials platform and a scalable manufacturing process designed to overcome thermal bottlenecks in high-performance computing, data centers, automotive electronics, aerospace systems, and power electronics.

NovoLINC works with leading companies across the semiconductor, hyperscaler, AI server OEM/ODM, and cooling systems industries to enable higher computing performance while improving the energy efficiency and sustainability of next-generation computing infrastructure. The company’s technology development has been supported by the U.S. National Science Foundation and the U.S. Department of Energy’s ARPA-E COOLERCHIPS program.

www.novolinc.com

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SOURCE NovoLINC, Inc.

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GEP NAMED AS A LEADER IN SUPPLY CHAIN PLATFORMS EVALUATION, RECEIVES HIGHEST SCORE POSSIBLE IN INNOVATION CRITERION

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GEP recognized for its investments in AI-native architecture, agentic AI, and autonomous decision-making supplier networksRecognition follows recent leadership positions from Gartner, IDC and The Hackett Group across procurement, direct spend and supply chain technology

CLARK, N.J., Oct. 7, 2026 /PRNewswire/ — GEP®, a leading provider of AI-powered procurement and supply chain platforms and services to Fortune 500 and Global 2000 enterprises worldwide, today announced that it has been named a Leader in The Forrester Wave™: Supply Chain Platforms, Q3 2026, a recognition that GEP believes places it among the leading providers in the broader enterprise supply chain technologies.

Forrester evaluated 13 of the most significant supply chain platform providers and named GEP a Leader. GEP also received the highest possible score of 5 out of 5 in the Innovation criterion.

Forrester specifically cited GEP’s investments in agentic AI, knowledge graphs, autonomous decision-making and AI-native architecture. It also recognized GEP’s superior network participant authentication, and demand signal and forecast collaboration.

 “We have invested in building an AI-native platform because the real value of AI comes only when it is embedded across the work, the data and the decisions to identify new value, reduce risk, and drive competitive compete,” said Subhash Makhija, CEO and co-founder, GEP. “GEP Quantum Intelligence provides our customers a fundamentally different advantage: one intelligent platform connecting sourcing, suppliers, risk, demand and execution, rather than adding a thin layer AI on top of fragmented systems.”

Forrester said GEP is best suited to large enterprises seeking a unified procurement and supply chain platform with strong agentic AI, network collaboration, autonomous decision-making and multienterprise orchestration capabilities. Customers interviewed by Forrester also praised GEP’s service and transparency and expressed positive repurchase intent.

GEP believes this recognition extends its leadership from procurement and direct materials into the broader supply chain platform market. It also follows a series of major independent analyst assessments placing GEP at the forefront of enterprise procurement and supply chain technology:

Gartner® named GEP a Leader in the 2026 Magic Quadrant™ for Source-to-Pay Suites.

The Hackett Group named GEP a Leader in its Fall 2026 SolutionMap, with GEP the only provider at the top of the “Sophisticated & Holistic” category across all 15 evaluated areas.

IDC MarketScape named GEP a Leader in its 2026 assessment of AI-enabled direct spend.

Together, for GEP, the assessments recognize a common set of strengths: Its comprehensive source-to-pay capabilities, unified platform and data, AI and agentic innovation, and deep procurement expertise.

GEP Quantum Intelligence™ brings procurement and supply chain capabilities together on an AI-native platform, connecting sourcing, supplier intelligence, multi-tier visibility and risk management with demand signals, supply collaboration and execution.

Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. This report is part of a broader collection of Forrester resources, including interactive models, frameworks, tools, data, and access to analyst guidance. For more information, read about Forrester’s objectivity here .

About GEP

GEP® delivers AI-native procurement and supply chain Quantum Intelligence platform, consulting and services that help global enterprises become more agile and resilient, operate more efficiently and effectively, gain competitive advantage, boost profitability and increase shareholder value. Our customers are the world’s best companies, including more than 550 Fortune 500 and Global 2000 industry leaders who rely on GEP to meet ambitious strategic, financial and operational goals. A leader in multiple Gartner Magic Quadrants, GEP’s AI-native Quantum Intelligence platform consistently win awards and recognition from industry analysts, research firms and media outlets, including Gartner, IDC, ISG, and Spend Matters. GEP is also regularly ranked a top procurement and supply chain consulting and strategy firm, and a leading managed services provider by ALM, Everest Group, NelsonHall, IDC, ISG and HFS, among others. Headquartered in Clark, New Jersey, GEP has offices and operations centers across Europe, Asia, Africa and the Americas. To learn more, visit www.gep.com.

Media Contact

Derek Creevey
GEP
derek.creevey@gep.com

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Drainage Planning and Flood Planning Examined In HelloNation, Featuring Land Surveying and Drainage Engineer Expert Michael Cuppy

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The article explains how early water management decisions protect building site stability and reduce costly construction risks.

PUEBLO, Colo., Oct. 6, 2026 /PRNewswire/ — What role should drainage planning and flood planning play before construction begins on a building site? HelloNation has published the answer in an article, featuring insights from Engineering & Surveying Expert Michael Cuppy of Pueblo, Colorado.

 

The HelloNation article explains that drainage planning is a critical part of preparing any building site, yet it is often overlooked during early construction decisions. Water management affects everything from grading to long-term structural performance, making it essential to evaluate how runoff will move across the property. Without proper drainage planning, water can collect in unwanted areas, leading to erosion, foundation damage, and limited site access during storms.

The article describes how a well-designed drainage planning approach maps the natural flow of runoff and identifies low points across a building site. Engineers use this information to guide grading decisions and develop systems such as swales, retention areas, or underground piping. These elements help control water management and ensure that runoff is directed away from structures, roads, and utilities. By aligning site layout with natural water flow, construction projects can avoid preventable complications.

Flood planning expands on drainage planning by addressing more extreme weather conditions. The article notes that flood planning considers how a building site will respond during heavy rainfall or seasonal flooding events. This process allows engineers to adjust grading, elevate structures when necessary, and reinforce vulnerable areas. Without proper flood planning, construction projects face increased risks that can lead to costly repairs and long-term damage.

The article emphasizes that even small miscalculations in runoff patterns can create major issues for a building site. Poor drainage planning can result in standing water, soil instability, or basement flooding. These problems often extend beyond the original construction area, affecting neighboring properties and increasing liability. Engineering & Surveying Experts highlight that early analysis of grading and water management helps prevent these outcomes and supports a more stable site layout.

In addition to protecting structures, the article explains that effective drainage planning improves the performance of infrastructure over time. Roads, landscaping, and utility systems all depend on proper water management to function correctly. When runoff is controlled through thoughtful grading and design, maintenance needs are reduced, and long-term durability improves. This makes drainage planning an essential part of both short-term construction success and long-term property value.

Flood planning also plays an important role in regulatory and insurance considerations. The article notes that local municipalities often require drainage planning and flood planning documentation before approving construction permits. Insurance providers may also evaluate flood risk when determining coverage requirements. Addressing these factors early helps streamline the construction process and reduces the likelihood of delays.

The article further explains that integrating drainage planning into site layout decisions leads to more efficient construction outcomes. When grading, utilities, and road placement are designed with water management in mind, builders can avoid costly redesigns. Engineering & Surveying Experts emphasize that proactive planning allows construction teams to work with natural site conditions rather than against them.

Ultimately, the HelloNation article presents drainage planning and flood planning as essential components of responsible construction. Ignoring water management may seem like a shortcut, but it often leads to complex, expensive challenges. By focusing on runoff control, grading accuracy, and thoughtful site layout, builders can create safer, more resilient building site conditions.

Why Drainage and Flood Planning Matter Before You Build features insights from Michael Cuppy, Engineering & Surveying Experts of Pueblo, Colorado, in HelloNation.

About HelloNation
HelloNation is a premier media platform that connects readers with trusted professionals and businesses across various industries. Through its innovative “edvertising” approach that blends educational content with storytelling, HelloNation delivers expert-driven, good-news articles that inform, inspire, and empower. Covering topics from home improvement and health to business strategy and lifestyle, HelloNation highlights leaders making a meaningful impact in their communities.

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