Gradial, an enterprise software company pioneering AI-driven agentic marketing operations, has raised $35 million in Series B funding, the company said on Wednesday. The round was led by growth equity firm VMG Partners, with participation from returning investors Madrona and Pruven Capital, bringing total funding to $55 million since launch.
The latest capital injection underscores rising demand for AI systems that can manage complex marketing operations rather than simply generate content. Unlike early tools that delivered text or images, Gradial built its platform around the “content supply chain”—the systems, workflows and operational tasks that determine how fast large enterprises can launch and scale campaigns.
AI Agents Embedded Inside Enterprise Workflows
According to the company, its AI agents execute marketing work across existing enterprise systems: handling authoring tasks, brand updates, QA, migrations, and large-scale campaign operations with human-like reasoning.
“Every enterprise marketing team faces the same challenge,” said Doug Tallmadge, Co-Founder and CEO of Gradial. “Their current tools and processes are too fragmented for them to move at the speed they need. Gradial agents live inside the workflow and learn to do the work just like a human employee would. This isn’t just another gen-AI experiment—it’s a platform that transforms the enterprise through real and tangible ROI.”
The company says its platform has already been adopted by several global enterprises and is one of the few agentic systems deployed at full scale within Fortune 1000 organizations. These customers share a consistent challenge: operations—not creativity—are the primary bottleneck. A single marketing request can pass through ten or more specialized roles, slowing execution and delaying personalization.
Operational Relief for Major Brands
Leading brands, including T-Mobile, use Gradial agents to manage heavy operational workloads. The agents integrate directly with enterprise tooling, interpret complex system context, and act as digital coworkers that clear backlogs and accelerate delivery.
“Gradial is achieving our goal of reducing time to market by 80% plus, which is opening up valuable capacity to take on 10x more work, especially for contextual experiences,” said Nick Pappas, Senior Director of Digital Business Management at T-Mobile. “The time savings also allow for increased focus on deeper strategic efforts because everyday content management is automated and accelerated.”
Investors say the pain point is widespread and acute across the enterprise marketing landscape. “Our ecosystem of enterprise marketers tells us repeatedly that operational drag is the biggest barrier to delivering high-quality marketing at scale,” said Sam Shapiro, Partner at VMG Partners. “The world’s most innovative brands spend tens of millions on execution drudgery. Gradial eliminates that and frees teams to focus on strategic impact.”
Future Growth Plan
The new capital will be used to further develop the company’s AI agent platform, strengthen automation and orchestration capabilities, and expand the Seattle-based workforce across engineering, product and go-to-market functions.
EDITORIAL ANALYSIS: Why Gradial’s Approach to AI Agents Signals a Turning Point for Enterprise Marketing
The rise of Gradial marks a notable shift in the AI landscape: from content generation to execution intelligence. Large enterprises have long struggled with the hidden operational burden behind every marketing campaign—asset updates, compliance reviews, migrations, QA cycles, localization and system-to-system reconciliation. These tasks scale exponentially and have historically limited personalization.
What distinguishes Gradial is its focus on embedding AI agents directly inside enterprise workflows rather than sitting atop them. This is a critical evolution. Most AI tools create output; few integrate deeply enough to perform multi-step procedural work with reliability, auditability and brand consistency. If Gradial continues executing on this model, it could reshape how large organizations operate, shifting marketing teams from manual throughput toward strategic decision-making.
The company’s early traction with major enterprises, including T-Mobile, provides real validation at a time when businesses are actively searching for AI systems that deliver measurable, operational ROI rather than theoretical uplift. Investors such as VMG Partners, Madrona and Pruven Capital appear to be betting not only on the platform but on the broader shift to “agentic operations”—a category poised for significant expansion as IT ecosystems become more complex.
If Gradial can maintain accuracy, speed and integration depth at scale, the company is positioned to become a foundational layer in enterprise marketing infrastructure and possibly one of the defining players in the agentic-AI movement.
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