The platform uses a modular, real-time, customizable agent architecture that handles distinct marketing tasks and can connect with legacy systems, enabling on-the-fly task adaptation.

Kana’s value proposition centers on reducing busywork in marketing—media planning, reporting, dashboarding, and campaign optimization—by automating tasks while maintaining control and quality through augmented intelligence.

The seed funding will fuel growth in engineering, product development, and go-to-market teams, with Mayfield partner Navin Chaddha joining Kana’s board.

The round was led by Mayfield after initial formation and product development within super{set}, with plans to expand hiring across engineering, product, and go-to-market functions.

Co-founders Tom Chavez (CEO) and Vivek Vaidya (CTO) bring more than 25 years of marketing tech experience, with past exits including Rapt and Krux; Kana originated from the startup studio super{set} after nine months of incubation.

Chavez and Vaidya have a track record building data/AI companies and run the studio behind Kana, which is their fourth venture.

Kana positions itself as a “build with” platform—real-time deployable and configurable—emphasizing speed, adaptability, and a moat against incumbents by delivering rapid results rather than bespoke one-off solutions.

The platform incorporates synthetic data generation to augment third-party data, reduce costs, protect privacy, and accelerate testing and targeting across platforms, with human-in-the-loop governance.

Humans remain in the loop: marketers approve, adjust, and constrain agents’ actions, providing feedback to refine behavior as needs evolve.

Kana’s third-path approach focuses on purpose-built agentic applications that deliver measurable outcomes in minutes to hours and integrate with first-party data for controllable AI outputs.

Founders describe Kana as a third-path solution delivering rapid, measurable outcomes and seamless integration with existing tech stacks.

Kana emerges from stealth with a $15 million seed round led by Mayfield to build flexible AI agents for marketers, aimed at integrating with existing marketing tech and automating analysis, targeting, run management, customer engagement, media planning, and chatbot optimization.