The startup teaching software to do the part of marketing nobody puts on their resume.
Gradial's homepage face. The agents behind it are far less photogenic and far more useful - they live inside Adobe Experience Manager, not on a billboard.
A marketer at a Fortune 1000 company asks for a landing page in three new languages, resized for six channels, brand-checked, tagged, and queued in the CMS. Two years ago that request kicked off a two-week relay of tickets, handoffs, and Slack messages with the word "circling" in them. Now an agent picks it up and gets most of the way there before lunch.
That agent is Gradial's. The company calls the category it invented "agentic marketing operations," which is a mouthful for a simple idea: software that does the work, not just suggests it. Gradial is based in Seattle, was founded in 2023, employs around 73 people, and in December 2025 raised a $35 million Series B. It is not trying to write your ad copy. It is trying to handle everything that happens to that copy afterward.
Gradial agents live inside the workflow and learn to do the work just like a human employee would.Doug Tallmadge, Co-Founder & CEO
The generative AI boom solved a question marketing teams were not actually losing sleep over: how to produce more stuff. The blank page was never the bottleneck. The bottleneck was the dozen unglamorous steps between a finished idea and a published experience - the resizing, the re-tagging, the QA, the compliance check, the migration, the handoff to the person who has the CMS login.
Call it the content supply chain. It is where marketing momentum quietly goes to die. A single update can require ten or more people and stretch past two weeks, not because the work is hard, but because it is fragmented across tools and humans who keep waiting on each other. Gradial's founders looked at the explosion of content-generation startups and noticed they were all crowding the easy half of the problem.
The work still needed 10+ people involved and took 2+ weeks. The content was never the hard part - the operations were.The thesis behind Gradial
It is a very modern kind of irony: the industry built machines to write a thousand things a second, then handed the output to a workflow that moved at the speed of a forwarded email.
Gradial's founders did not come up through martech. They came up through places where things either work or fall out of the sky. CEO Doug Tallmadge was a software engineering manager at SpaceX. CTO Deip Kumar also did time at SpaceX and Microsoft. Chief Growth Officer Anish Chadalavada ran AI strategy at Microsoft and invested at Point72 Ventures. COO Anup Chamrajnagar came from Point72. All four met at Dartmouth College.
Their bet: the messy, human-glued content supply chain is not a creative problem to be inspired through - it is a systems problem to be engineered through. If you can build agents that reason across the same tools a marketing team uses - Adobe Experience Manager, Salesforce, Jira - and learn the job the way a new hire would, you do not need the relay race at all.
Madrona Venture Group bought the thesis early, leading the seed round in February 2024. The firm described its approach as "winning the wedge" - start with one narrow, painful job, prove the ROI, then expand. Marketing execution was the wedge.
Gradial's platform is organized around four jobs. The distinction that matters is that the agents do not hand you a draft and wish you luck - they reason through the multi-step workflow inside your existing systems, with brand, accessibility, and compliance checks running automatically every time.
Agents author, build, and launch content and full campaigns across enterprise systems, removing manual handoffs.
Automated redesign, resizing, tagging, and QA of assets at scale - kept on-brand by centralized AI governance.
Tunes content to perform across AI-driven discovery and the new generation of generative search engines.
Surfaces performance insights and orchestrates personalized customer journeys across channels.
100% on-brand quality, achieved through centralized AI governance - not a hundred people remembering the style guide.Gradial platform claim
Four Dartmouth alumni, originally incorporated as Panorama Artificial Intelligence, set out to automate marketing operations.
Madrona backs the "winning the wedge" thesis: prove ROI on marketing execution first, expand later.
Enterprise adoption accelerates; the agentic content supply chain finds real customers.
Madrona leads again, with Pruven Capital, to scale the platform and team.
Madrona and Pruven Capital return. Total funding reaches roughly $53-55M.
The company announces what it bills as the first conference dedicated to agentic marketing.
A platform built by ex-rocket engineers had better show its telemetry. Here is the data Gradial and its customers point to. Bars are scaled for comparison - read the labels, not the lengths.
Customers and partners include T-Mobile, Prudential, Amazon, AWS, Adobe, dentsu | Merkle, EPAM, Slalom, and Infogain.Gradial's roster, late 2025
Strip away the category jargon and Gradial's mission is almost old-fashioned: let people do the part of the job they were actually hired for. The strategy, the taste, the judgment - the things that do not fit in a Jira ticket. Hand the relay race to the agents.
Madrona frames it as part of a broader "reasoning revolution," where AI systems behave less like tools and more like reasoning partners that rewire how an enterprise runs. Gradial's tagline puts it plainly: "Create unstoppable marketing momentum." The unspoken half of that sentence is that most marketing momentum today is very, very stoppable - usually by a missing approval.
Intelligent, AI-driven applications will rewire the enterprise. Gradial is one of the clearest examples of it.Madrona Venture Group
If Gradial is right, the content supply chain becomes invisible - the way electricity is invisible until it stops. The skeptic's question is fair: agentic AI is the loudest pitch in software right now, and not every agent that demos well survives contact with a real enterprise approval chain. Gradial's answer is to stay inside the workflow, take measurable ROI on a narrow job, and expand only after it earns trust. That is a slower, more boring story than most AI startups tell. It is also the one that tends to last.
So picture that marketer again. The one who asked for a landing page in three languages, six formats, brand-checked and queued. Two years ago that request meant fourteen people and a fortnight. Now it is a sentence, an agent, and an afternoon. The campaign goes live. Nobody circles back. That is the change Gradial is selling - not better content, but a marketing team that finally gets to spend its time on the work worth photographing.
The blank page was never the bottleneck. Everything after it was.The whole point of Gradial, in one line