Anish Chadalavada is co-founder and Chief Growth Officer at Gradial, the enterprise AI harness that connects frontier models to the brand context, approvals and tools a large marketing organization already runs on. A Dartmouth graduate based in Seattle, he invested in early-stage AI companies at Point72 Ventures through the ChatGPT inflection and shaped AI strategy at Microsoft, where he worked with GitHub leadership on intelligent developer tooling and on the Nuance acquisition. Gradial has raised more than $110M in sixteen months, including a $65M Series C led by Insight Partners. He argues that the marketing SaaS stack resets into infrastructure for agents, that governance must be designed for multiplayer use, and that AI fatigue will put a premium back on human interaction.
“Marketing has always been built around software that stores data but doesn't actually do the work.”
“So I see this as not the end of SaaS, more like a reset that turns SaaS into infrastructure so agents can use it for context to actually go do work.”
“At the end of the quarter, you get this massive token bill. You can't articulate all the outputs that came out of the token bill.”
“It's so easy to build agents that everyone's built an agent and you're starting to see even the quality of content is turning into slop.”
“If I can put those two pieces together in a systematic way, then I've created the fertile soil for agents to go actually execute work.”
“This is the same as the multi-cloud story. If you're a big company, you don't want to be locked into one cloud.”
“You really have to design from the ground up for multiplayer.”
“Those I think don't have as much staying power because software is predominantly going to be used by agents and not by people.”