Unified commerce platform Cart.com has secured $180 million in growth equity financing, a move aimed at accelerating the company’s AI capabilities, software development, and nationwide fulfillment network.

The investment round is led by Springcoast Partners, with participation from existing backers including PayPal Ventures, Arsenal Growth Equity, Mercury Fund, and Oak HC/FT.

The new capital positions Cart.com to deepen its technology stack and expand operational infrastructure as brands increasingly seek integrated solutions that combine ecommerce software with physical logistics operations.

Building a Unified Commerce Operating System

Cart.com operates a commerce enablement platform designed to handle the entire lifecycle of digital retail—from storefront management and marketing tools to order fulfillment and supply chain logistics.

Brands and retailers including TOMS Shoes, PacSun, and Janie and Jack already use the platform to manage omnichannel commerce operations.

The company’s strategy focuses on integrating enterprise software, fulfillment infrastructure, and operational expertise into a single platform rather than offering standalone tools.

That unified approach reflects a growing demand among brands for technology platforms that can manage both digital commerce and physical logistics in one system.

“This investment will strengthen our balance sheet and provide us with the flexibility to accelerate our strategic priorities,” said Omair Tariq. “We’ve built a platform that combines commerce software with a scaled logistics network, and we’re just getting started.”

AI and Automation at the Center of Growth

A major focus for the new funding will be expanding Cart.com’s AI-driven capabilities.

The company plans to invest heavily in its commerce operating system, particularly in areas such as:

• Workflow automation for ecommerce operations

• Predictive analytics for inventory and demand planning

• Agentic AI systems capable of autonomously routing inventory

• Optimization tools to reduce shipping times and fulfillment costs

These AI capabilities aim to help brands manage increasingly complex supply chains and omnichannel distribution strategies.

For large retailers, the ability to automatically route inventory across warehouses and fulfillment centers could significantly reduce delivery times and operational costs.

Expanding the Fulfillment Network

In addition to software development, the funding will support expansion of Cart.com’s nationwide fulfillment infrastructure.

As ecommerce expectations continue to rise—particularly around fast delivery—brands increasingly rely on distributed logistics networks to meet customer demands.

Cart.com plans to invest in additional operational automation and infrastructure to support enterprise brands navigating these logistical challenges.

The company’s hybrid model—combining software with a physical fulfillment network—sets it apart from many commerce platforms that operate purely as technology providers.

Investor Confidence in the Commerce Infrastructure Model

For Springcoast Partners, the investment reflects growing confidence in platforms that unify commerce software and logistics.

“In an increasingly fragmented commerce landscape, Cart.com has differentiated itself by uniting enterprise software with physical logistics,” said Evan Nawrocki.

The firm believes Cart.com’s integrated model gives enterprise customers a measurable return on investment, particularly as brands look for more efficient ways to manage omnichannel commerce.

Leadership Expansion With Board Appointment

As part of the investment, Russell Klein will join Cart.com’s board of directors.

Klein brings extensive ecommerce experience. Prior to joining Springcoast, he served as Chief Commercial Officer at BigCommerce, helping scale the company from $30 million to more than $350 million in annual recurring revenue.

During his tenure, Klein also played a role in multiple financing rounds, the company’s mergers and acquisitions strategy, and its IPO.

“The team at Cart.com has demonstrated excellence in their ability to scale efficiently while continuing to innovate,” Klein said. “I’m excited to support the company as it expands its AI-driven capabilities and strengthens its position as a category-defining commerce platform.”

The Bigger Trend: Commerce Infrastructure Consolidation

Cart.com’s new funding reflects a broader shift happening across the ecommerce technology landscape.

As digital commerce grows more complex, brands increasingly prefer unified platforms that combine multiple operational layers:

• Ecommerce technology

• Inventory management

• Logistics and fulfillment

• Data analytics and AI optimization

Managing those capabilities through separate vendors can create operational complexity and fragmented data pipelines.

Platforms like Cart.com aim to solve that problem by delivering commerce infrastructure as an integrated system.

For enterprise brands juggling multiple sales channels—from direct-to-consumer storefronts to marketplaces and retail partners—that unified approach can significantly simplify operations.

What Comes Next

With the new funding secured, Cart.com plans to accelerate development of its AI-driven commerce operating system while expanding logistics infrastructure to support enterprise brands.

The company also signaled a focus on improving operational efficiency and moving toward sustainable profitability as it scales.

If Cart.com successfully executes its strategy, it could strengthen its position in a rapidly evolving category: platforms that combine commerce technology with the physical infrastructure required to deliver products to customers.

In an era where speed, efficiency, and omnichannel reach increasingly define retail success, that combination may prove to be one of the most valuable capabilities in modern commerce.

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Global advertising and media technology company Entravision is reshaping its U.S. leadership structure with a series of executive promotions aimed at accelerating revenue growth, expanding its Latino media footprint, and modernizing operations with digital and AI initiatives.

The company announced three key promotions across its U.S. media division:

• Maria Martinez-Guzman has been promoted to President of Entravision Media

• Eduardo Maytorena becomes President of Entravision Audio

• Winter Horton steps into the role of Chief Revenue Officer

All three executives will report directly to Michael Christenson as the company doubles down on audience growth, advertiser relationships, and operational modernization.

“These promotions align our leadership with our core objectives: serve our Latino audience and advertisers, lead with sales, and modernize our operations,” Christenson said in the announcement.

A New Leader for Entravision’s Video Business

As President of Entravision Media, Martinez-Guzman will oversee television programming, digital video initiatives, and national and local TV sales operations.

Her responsibilities include leading video content strategies across both traditional broadcast and streaming platforms—an increasingly important area as media companies shift toward digital distribution.

Martinez-Guzman brings extensive industry experience to the role. She began her career in Entravision’s McAllen office before spending more than two decades at Univision, where she most recently served as Executive Vice President of News.

Her return to Entravision signals the company’s intent to strengthen its video strategy across broadcast and streaming.

“Video has always been at the heart of my career,” Martinez-Guzman said. “It’s how we inform, tell stories, and build trust. I look forward to positioning Entravision as a leader in broadcast and streaming video.”

Audio Strategy Expands Under New Leadership

Meanwhile, Maytorena will take charge of Entravision’s radio and digital audio operations as President of Entravision Audio.

His role includes overseeing programming, network and national sales, and local market sales for radio-only markets.

Previously a Senior Vice President in Entravision’s Los Angeles market, Maytorena now steps into a larger strategic position focused on transforming the company’s audio business.

“I’m proud to help lead the next phase of growth,” Maytorena said. “We will change the audio game and transform it into a more integrated, dynamic platform.”

The move reflects a growing emphasis on digital audio formats—including streaming radio, podcasts, and connected-car listening—areas where advertisers increasingly allocate budgets.

Revenue Operations Get a Dedicated Leader

As Chief Revenue Officer, Horton will oversee sales across Entravision’s combined markets as well as sales operations and support functions across all regions.

Horton most recently served as a Senior Advisor to the CEO, helping develop Entravision’s evolving media strategy.

His background includes leadership roles at multiple media companies, including Liberman Broadcasting, the predecessor to Estrella Media, as well as Meruelo Media.

In his new role, Horton will focus on aligning the company’s media platforms—television, audio, and digital—to deliver integrated advertising opportunities.

“I’m thrilled to collaborate with an exceptional team as we bring the full strength of our media platforms to market,” Horton said.

Additional Leadership Changes Across the Company

Entravision also announced several other executive updates designed to strengthen operations, legal oversight, digital development, and AI strategy.

Key changes include:

• Mark Boelke will now serve as Chief Operating Officer in addition to his existing role as Chief Financial Officer.

• Jeff DeMartino has been promoted to Chief Legal Officer, expanding his responsibilities to include leading company partnerships.

• Jessica Martinez will serve as Executive Vice President of Digital Products and Operations.

• LeaAnna Hernandez becomes Executive Vice President of AI Strategy, reflecting the company’s growing focus on AI-powered media and advertising tools.

• Fred Roggin will serve as President of Entravision Digital.

Why the Leadership Shift Matters

Entravision’s leadership changes come as the company navigates a rapidly evolving media landscape.

The company has built a strong presence in Spanish-language broadcasting while expanding its reach into digital advertising technology, streaming platforms, and data-driven media solutions.

At the same time, brands increasingly seek targeted media channels that connect with multicultural audiences—particularly the growing Latino consumer market in the United States.

By restructuring leadership across video, audio, revenue, and digital operations, Entravision appears to be positioning itself to compete more aggressively across both traditional media and modern advertising technology ecosystems.

The addition of dedicated AI strategy leadership also signals that the company sees artificial intelligence as a core component of its future media operations.

For advertisers looking to reach Latino audiences across broadcast, digital, and audio platforms, Entravision’s evolving leadership structure could play a key role in shaping how those media opportunities are delivered in the coming years.

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Enterprise sales teams often rely on CRM systems that are packed with mid-level contacts—but missing the executives who actually approve deals. A new integration between ExecAtlas and SalesIntel aims to close that gap.

Announced by Equilar, the partnership combines executive intelligence data from ExecAtlas with SalesIntel’s signal-based buying committee insights and verified contact data. The result is a unified system that enriches Salesforce records with executive-level profiles, verified contact details, and relationship mapping designed to help sales teams reach decision-makers faster.

The integration targets a common problem in enterprise sales: incomplete CRM data that makes it difficult to identify and engage the real buying committee behind large deals.

Filling the Executive Data Gap in CRMs

Most CRM systems contain detailed account records but often lack accurate profiles for C-suite leaders or board-level decision-makers.

That creates friction for go-to-market teams attempting to close enterprise deals, where purchasing decisions typically involve multiple senior executives across departments.

According to David Chun, the integration was designed to address exactly that issue.

“Most Salesforce instances are missing the executives who actually make buying decisions,” Chun said. “Sales teams have account records and mid-level contacts, but the C-suite profiles are incomplete, outdated, or absent entirely.”

ExecAtlas aims to solve that problem by automatically populating missing executive profiles inside Salesforce while keeping leadership records updated as executives move between roles.

Combining Signals With Relationship Intelligence

While ExecAtlas focuses on executive-level intelligence, SalesIntel brings a complementary capability: identifying the right moment to reach out.

The company’s platform uses signal-driven data—including intent signals and engagement triggers—to help sales teams determine when prospects are most likely to be evaluating solutions.

By combining that signal intelligence with ExecAtlas’s executive data, the integration gives sales teams a more complete view of enterprise buying dynamics.

“Knowing who to call is only half the battle,” said Manoj Ramnani. “Knowing when, why, and who can open the door is how enterprise deals actually get closed.”

The combined platform allows sales teams to identify key executives, monitor engagement signals, and uncover internal relationships that could enable warm introductions.

Four Capabilities Designed for Enterprise Sales

The integrated system delivers several features aimed at improving enterprise deal execution.

1. Complete Executive Coverage

ExecAtlas enriches CRM records with missing executives at target accounts, including C-suite leaders and senior decision-makers. This ensures sales teams see the full buying committee rather than just the contacts already stored in the CRM.

2. Verified Contact Information

SalesIntel adds AI- and human-verified contact data—including email addresses and mobile numbers—to executive profiles. The company claims accuracy rates of up to 95%, helping teams reduce bounce rates and manual research.

3. Relationship Intelligence

ExecAtlas maps connections between executives based on shared work history, board affiliations, and professional networks. This reveals potential introduction paths within an organization that can help sales teams build trust with decision-makers.

4. Real-Time Executive Tracking

Leadership changes are tracked daily, ensuring that CRM records remain current when executives change roles or move to new companies. That visibility can trigger new engagement opportunities for sales teams.

Why CRM Data Accuracy Is Becoming Critical

The integration arrives at a time when B2B sales teams are under increasing pressure to operate with more precision.

Enterprise deals now involve complex buying committees, longer sales cycles, and multiple decision-makers across departments. Without accurate data, sales teams often spend significant time researching contacts and verifying information before they can even begin meaningful engagement.

At the same time, modern go-to-market strategies increasingly rely on multi-threaded outreach—engaging several stakeholders within a company simultaneously.

That strategy only works if sales teams can quickly identify the right executives and connect with them directly.

By combining executive intelligence with verified contact data and engagement signals, the ExecAtlas–SalesIntel integration aims to streamline that process.

The Bigger Trend: Data-Rich Sales Workflows

The partnership also reflects a broader shift in the sales technology landscape.

Sales teams are moving away from static contact databases toward dynamic intelligence platforms that combine multiple layers of insight:

• Contact verification

• Buying signals and intent data

• Relationship mapping

• CRM enrichment

• Real-time leadership tracking

Together, these capabilities help go-to-market teams operate with more context and precision throughout the sales cycle.

For organizations pursuing large enterprise deals, the ability to identify decision-makers early—and engage them with relevant timing and context—can significantly improve win rates.

With the new integration, ExecAtlas and SalesIntel are betting that the future of enterprise selling depends less on simply having data, and more on having the right data connected directly to the workflow where deals happen.

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The race to build richer business intelligence datasets just took a major step forward.

OpenData.org has released a massive U.S. business dataset containing 86 million organizations, 101 million contacts, and 142 million locations, creating one of the most comprehensive open datasets mapping the American corporate ecosystem.

The release becomes even more notable through a strategic partnership with Senzing, which provides built-in AI-powered entity resolution capabilities designed to clean, match, and unify records across datasets.

Delivered in Senzing-ready JSON format, the dataset allows organizations to immediately integrate high-volume business intelligence data into analytics, compliance, and AI pipelines.

In short: OpenData.org is trying to do for organizational data what open knowledge graphs did for the web—create a structured map of how businesses, people, and locations connect.

Mapping the U.S. Business Ecosystem

At its core, the dataset functions as a large-scale entity graph linking companies, executives, and operational locations.

The release includes:

• 86 million organizations

• 101 million people-to-company relationships

• 142 million business locations

These connections allow users to move beyond static company records and instead analyze relationships across the business ecosystem.

Each organization is connected to multiple locations such as headquarters, branch offices, operational facilities, and registered addresses. Meanwhile, more than 101 million contacts link individuals to the organizations they control or operate.

That structure makes it possible to trace corporate hierarchies, discover shared executives across companies, and map operational footprints.

For analysts, investigators, and sales teams, that kind of relational data can provide critical context that traditional company databases often lack.

Built From Government Data at National Scale

The dataset was assembled from filings and records across 100,000+ U.S. government agencies, including:

• Internal Revenue Service

• U.S. Department of Labor

• U.S. Securities and Exchange Commission

• Small Business Administration

• United States Postal Service

The dataset also incorporates state and local regulatory filings, creating a far broader coverage base than most commercial corporate data providers, which often focus heavily on public companies.

Another key element: the inclusion of 162 reference identifiers used across financial, regulatory, and geographic datasets.

These identifiers include global and financial standards such as:

• Legal Entity Identifier (LEI)

• Financial Instrument Global Identifier (FIGI)

• International Securities Identification Number (ISIN)

• Placekey

The result is a dataset designed to act as a cross-reference layer, enabling organizations to match and connect multiple external data sources.

AI-Powered Entity Resolution From Senzing

Large-scale datasets are only useful if records can be accurately matched across sources—a notoriously difficult problem known as entity resolution.

That’s where the partnership with Senzing comes in.

Senzing’s technology uses a combination of machine learning and rule-based logic to determine whether two records represent the same real-world entity—even when names, addresses, or identifiers vary.

The system relies on the company’s Entity Centric Learning architecture, which continuously improves how entities are matched and resolved across datasets.

According to Jeff Jonas, the integration enables organizations to quickly identify relationships and data inconsistencies without building complex matching systems themselves.

“Organizations using the OpenData.org dataset can immediately benefit from Senzing’s entity resolution technology,” Jonas said, noting that the system can detect hidden relationships and reconcile duplicate records in real time.

Another key differentiator: the platform can run locally without requiring sensitive data to be uploaded to the cloud—an important factor for compliance-heavy industries.

Why Entity Graphs Are Becoming Strategic Data Infrastructure

Datasets like OpenData.org’s reflect a growing shift toward entity graph architectures in enterprise data management.

Instead of storing isolated records—like a single company profile—entity graphs focus on the relationships connecting entities.

That approach has become increasingly important for applications such as:

• Financial compliance and AML investigations

• Know Your Customer (KYC) and Know Your Business (KYB) verification

• Fraud detection and risk monitoring

• Investment research and due diligence

• CRM enrichment and B2B lead generation

• AI model training and analytics

In many of these scenarios, the most valuable insight lies not in the individual record but in the connections between records.

For example:

• Multiple companies sharing the same executive

• Businesses operating from the same physical address

• Ownership structures spanning multiple corporate entities

Without an entity graph, uncovering those connections often requires manual research across dozens of fragmented databases.

An “Open Rosetta Stone” for Organizational Data

For Jose M. Plehn, the goal of the project is to create an open infrastructure layer for business intelligence.

Plehn argues that despite the explosion of corporate data platforms, there has been no truly open dataset covering the full spectrum of organizations beyond public companies.

“Every transaction, relationship, and risk assessment connects back to an organization, person, or location,” he said.

He compares the dataset to a “Rosetta Stone” for business data, providing a shared set of identifiers and relationships that allow different datasets to interoperate.

If that vision holds, OpenData.org’s release could become a foundational resource for industries ranging from financial services to marketing technology.

The Bigger Picture: Data Graphs Powering AI and Analytics

The launch also reflects a broader trend across the data industry.

As AI systems and analytics platforms increasingly depend on large, structured datasets, entity graphs are becoming foundational infrastructure.

Companies building AI-driven applications—from fraud detection systems to GTM intelligence platforms—require datasets that connect people, organizations, and locations at scale.

By combining open-source coverage, government-sourced records, and built-in entity resolution, OpenData.org’s dataset aims to position itself as a key building block in that emerging ecosystem.

Whether it becomes a standard reference layer for business data remains to be seen—but with hundreds of millions of linked entities already mapped, the project is starting with a significant head start.

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Global ecommerce accelerator Pattern Group Inc. delivered a record-breaking year in 2025, posting $2.5 billion in annual revenue, up 39% year over year, as brands increasingly rely on its AI-powered platform to navigate the complex world of global digital marketplaces.

The company’s strong performance highlights a growing shift in ecommerce: brands are outsourcing marketplace execution—from logistics to digital marketing—to specialized technology platforms that can manage the entire retail lifecycle.

For Pattern, that strategy appears to be paying off.

A Record Quarter Caps a Breakout Year

Pattern closed the year with a strong fourth quarter, reporting $723 million in revenue, a 40% year-over-year increase.

The company also reported several additional milestones for the quarter:

• Net income: $29 million, up 58% year over year

• Adjusted EBITDA: $43 million, up 59%

• International revenue: $94 million, up 69%

• Non-Amazon revenue: $61 million, up 94%

One key metric investors watch closely—net revenue retention (NRR)—also reached a record 124%, meaning existing brand partners increased their spending significantly year over year.

For marketplace platforms, strong NRR often signals deep customer relationships and growing reliance on the platform’s services.

“2025 was a defining year for Pattern,” said Dave Wright. “We delivered record results, exceeding our prior expectations and demonstrating our ability to scale with discipline.”

A Different Kind of Ecommerce Platform

Unlike traditional software platforms that simply provide tools to brands, Pattern operates closer to a full-stack ecommerce operator.

The company’s model combines:

• Proprietary marketplace technology

• Global logistics infrastructure

• Data and AI-driven marketplace optimization

• Direct inventory ownership

That last element is particularly notable.

Because Pattern often owns the inventory it sells on marketplaces, its revenue is tied directly to product sales rather than SaaS subscription fees.

“Our platform is built to optimize the ecommerce equation and connect brands to consumers wherever they shop,” Wright said. “We are not simply enabling commerce—we are executing it end-to-end.”

This model aligns Pattern’s financial performance closely with the success of the brands it represents.

Expanding Beyond Amazon

A major theme in Pattern’s 2025 results is diversification beyond Amazon, long the dominant platform for third-party marketplace sellers.

Revenue not attributable to Amazon reached $183 million for the year, representing 60% growth.

That reflects increasing activity across alternative marketplaces, including regional ecommerce platforms and retail marketplaces worldwide.

Marketplace diversification has become a strategic priority for brands looking to reduce dependence on a single ecommerce ecosystem.

Pattern’s platform helps brands manage that complexity by consolidating marketplace operations—product listings, advertising, pricing, and logistics—into a single system.

Global Expansion Accelerates

International growth also played a significant role in the company’s performance.

Pattern reported $266 million in international revenue for 2025, up 63% year over year.

As ecommerce marketplaces proliferate across regions—including Asia, Europe, and Latin America—brands increasingly need localized strategies to compete effectively.

Pattern’s global infrastructure is designed to help brands navigate these regional ecosystems without building their own international operations from scratch.

For many consumer brands, that approach offers a faster route to global digital expansion.

Profitability and Cash Flow Improve

Despite rapid growth, Pattern continued to expand profitability.

For the full year 2025, the company reported:

• Adjusted EBITDA: $153 million, up 52%

• Operating cash flow: $99 million, up 41%

• Free cash flow: $79 million, up 58%

Net income for the year totaled $16 million, lower than the prior year’s $68 million. The decline was largely due to $104 million in stock-based compensation related to the company’s IPO earlier in 2025.

Even with those costs, Pattern maintained strong operating performance.

Looking Ahead: Another Growth Year

Pattern expects growth to continue in 2026.

For the first quarter of 2026, the company forecasts:

• Revenue between $710 million and $720 million

• Adjusted EBITDA between $41 million and $42 million

For the full year 2026, Pattern anticipates:

• Revenue between $3.12 billion and $3.16 billion

• Adjusted EBITDA between $180 million and $182 million

Those projections imply 25% to 26% revenue growth for the year.

According to Jason Beesley, the company’s growth will continue to come from three primary areas: expanding partnerships with existing brands, adding new brand partners, and increasing marketplace diversification.

Share Buyback Signals Confidence

Alongside its earnings report, Pattern also announced a $100 million share repurchase program authorized by its board of directors.

The program allows the company to buy back shares of its Series A common stock through open market purchases or private transactions.

The move is often interpreted by investors as a signal that leadership believes the company’s stock is undervalued or that future cash flow will remain strong.

The Bigger Trend: Marketplace Commerce Is Getting Complicated

Pattern’s strong results reflect a broader shift across ecommerce.

As online marketplaces multiply, brands face an increasingly complex ecosystem that includes:

• Global marketplaces

• Retail media advertising platforms

• Cross-border logistics networks

• Regional regulatory environments

Managing those moving parts internally can be difficult and expensive.

As a result, many brands are turning to specialized marketplace operators like Pattern that combine software, logistics, and operational expertise.

In many ways, these platforms are becoming the outsourced infrastructure of global ecommerce.

If Pattern’s growth trajectory continues, it may signal that the future of marketplace commerce isn’t just about selling products online—but about managing the complex systems behind them.

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In a crowded field of sales tech giants, Consensus, the AI-powered demo automation platform, has earned a spot in G2’s Top 5 Sales Software companies for 2026 — standing out as the only demo automation platform recognized alongside Salesforce, HubSpot, Gong, and PandaDoc.

This nod isn’t just a trophy. It signals the arrival of Demo-Led Growth as a legitimate GTM strategy. While Salesforce defined CRM, HubSpot made inbound marketing ubiquitous, and Gong brought conversation intelligence into the mainstream, Consensus is pioneering a new category: always-on, intelligent demos that sell for you.

Consensus allows revenue teams to deliver interactive demos 24/7. Each session captures deep buyer intent and stakeholder data — who watched, what they engaged with, and who they shared it with. That intelligence feeds directly to sales reps, giving them a precise roadmap to close deals faster.

"Demo automation has been the best-kept secret of winning GTM teams for years," said Betty Mok, SVP of Marketing at Consensus. "Being named alongside Salesforce, Gong, and HubSpot isn’t a badge — it’s a signal that Demo-Led Growth separates winners from everyone else."

Unlike traditional sales processes that rely on rep availability and performance, Consensus scales demo delivery without sacrificing insight. Users report measurable improvements in engagement, demo completion rates, and pipeline velocity — a clear indication that automated, intent-driven demos can accelerate conversion in ways static presentations never could.

Industry analysts see this as part of a broader shift in B2B sales tech. Companies are moving beyond one-off demos or static content. Platforms like Consensus provide dynamic, data-rich buyer experiences that link marketing intent directly to sales outcomes. In other words, the era of hoping your reps deliver a perfect demo every time is over. The era of intelligent, scalable, 24/7 demo experiences is officially here.

For GTM teams, this recognition from G2 could mark a turning point. As more organizations adopt Demo-Led Growth, the tech landscape may start to look less like a collection of isolated tools and more like integrated, experience-first revenue platforms — with Consensus leading the charge.

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Guideline, a leading provider of Ad Intelligence and Media Plan Management technology, has unveiled its Media Plan Management MCP Server, a new product that allows advertising agencies, media buyers, and enterprise clients to connect their own AI agents directly to Guideline’s platform. Built on the Model Context Protocol (MCP) — the emerging open standard for agentic AI connectivity — the server is the first in a planned series of MCP-enabled capabilities from the company.

Traditionally, media planning has been a patchwork of disconnected systems, with teams manually exporting data and compiling reports across multiple platforms. As campaigns grow in complexity across markets and channels, the need for faster, integrated workflows has become urgent. The MCP Server addresses this by offering a plug-and-play connection between any MCP-compatible AI agent — whether Claude, ChatGPT, or proprietary internal tools — and Guideline’s media plan management suite, no custom integration required.

Once connected, planners and buyers can interact with media plans conversationally, asking natural-language questions about campaign status, budgets, vendor performance, or plan-to-actual comparisons. The AI agent can instantly provide actionable insights, consolidate multi-campaign data, and generate performance summaries — all without leaving the chat interface. The server provides secure, read-only access, ensuring sensitive data remains protected.

“The complexity of modern media planning is skyrocketing, and agencies are increasingly turning to AI to manage it,” said Vincent Mifsud, CEO of Guideline. “Our MCP Server positions Guideline at the center of this transformation, giving clients AI-native infrastructure to streamline workflows, make faster decisions, and focus human talent on strategy rather than manual processes.”

The MCP standard, originally developed by Anthropic and now supported by OpenAI, Google, and Microsoft, has become a widely adopted framework for connecting AI agents to external tools. Analysts project that 75% of enterprise gateway vendors will integrate MCP by the end of 2026. By building on this open standard, Guideline ensures broad compatibility and future-proof connectivity.

Steve Silvers, Guideline’s Chief Product Officer, called the launch a “pivotal moment” in the company’s agentic AI strategy, highlighting that the MCP Server is just the first of several AI-native capabilities planned across the media plan management suite. The goal: allow agencies and brands to deploy AI agents across every stage of media planning and buying without traditional integration headaches.

For agencies, the implications are significant. Instead of toggling between platforms, manually compiling reports, or waiting for analytics cycles, planners can engage AI agents in multi-step analysis, retrieving, consolidating, and interpreting media plan data across campaigns, clients, and markets — all in a single conversational workflow.

With AI-driven workflows now integrated into the media planning backbone, Guideline is betting that

agentic AI will become as essential to agencies as spreadsheets once were, redefining how marketing operations teams plan, execute, and optimize campaigns.

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Three leading luxury marketing firms — North & Warren, the digital and media powerhouse; Quinn, the award-winning strategic communications agency; and Interluxe Group, a leader in brand experiences and in-person activations — have officially merged under the Interluxe Group brand. The integration forms a full-service, luxury-focused marketing agency that combines proprietary audience data with media, communications, digital marketing, and experiential solutions.

The unified Interluxe Group aims to provide luxury brands with precision targeting and creative execution across earned media, performance marketing, experiential activations, and strategic communications. By connecting data-driven insights with immersive storytelling, the agency promises to help brands drive acquisition, loyalty, engagement, and advocacy — all with measurable outcomes.

“Our merger simplifies complexity for luxury brands while expanding possibilities across media, communications, and experiential,” said Nick Van Sicklen, Founder & CEO of Interluxe Group. “This integration allows us to deliver both scale and craft with measurable results.”

The newly combined agency now boasts 130+ team members across North America and Europe, led by an experienced executive team: Nick Van Sicklen (Founder & CEO), Matt Carroll (Founder & Chief Commercial Officer), Maneesh K. Goyal (President, Experiential & Executive Chairman), Jay Meyer (President, Lifestyle Media), and Florence Quinn (President, Strategic Communications).

“Experiences sit at the heart of how luxury brands build emotional connection and long-term loyalty,” said Maneesh K. Goyal. “This unified platform allows us to seamlessly connect storytelling, media, and live experiences in a way that feels intentional and immersive.”

The merger builds on Interluxe Group’s vision of a modern, full-service agency purpose-built for luxury brands seeking to engage high-net-worth audiences effectively. By combining strategic communications, digital marketing, and live experiences within a single ecosystem, the agency positions itself as a go-to partner for brands across travel, hospitality, automotive, fashion, jewelry, beauty, and home design sectors.

Supporting this expansion, Interluxe Group received a strategic investment in January 2025 from Mountaingate Capital, a Colorado-based private equity firm, aimed at fueling growth and solidifying the agency’s leadership in the luxury marketing space.

“Integrating under the Interluxe Group brand allows us to deliver best-in-class solutions with cohesion and a seamless way for luxury brands to connect with their most valuable audiences,” added Matt Carroll, Founder & Chief Commercial Officer.

With this merger, Interluxe Group seeks to redefine how luxury brands engage with affluent audiences, combining intelligence, creativity, and immersive experiences in one unified platform — a model likely to influence the next wave of luxury marketing strategy.

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