San Francisco-based Kana has raised $15 million in a seed round led by Mayfield, stepping out of stealth with a product built around AI agents designed to help marketers analyze data, target audiences, manage campaigns, interact with customers, plan media, and optimize chatbots.
The company is led by Tom Chavez (CEO) and Vivek Vaidya (CTO), a founding duo with more than 25 years of experience in marketing technology, and a track record of building companies that were later acquired.
Quick take
- Funding: $15M seed round, led by Mayfield
- Company: Kana, based in San Francisco, now public after operating in stealth
- What it’s building: A suite of configurable AI agents for core marketing workflows
- Board: Navin Chadha, managing partner at Mayfield, will join the board
- Use of funds: Hiring across engineering, product, and go-to-market
A new bet in marketing automation, built around agents, not one-off tools
Kana’s pitch lands in a crowded, fast-moving corner of enterprise software: marketing teams are under pressure to do more with less, while every platform, from social networks to large software vendors, keeps rolling out automation and AI features.
In that climate, Kana is entering the market with a system of agents meant to handle both planning and execution tasks, rather than just producing content or assisting with a single step.
Kana’s agents are built to cover a wide span of work: data analysis, audience targeting, campaign management, customer interaction, media planning, and chatbot optimization.
What the company is emphasizing is not merely “AI in marketing”, it’s the idea that marketers can configure agents on the fly and plug them into existing systems without rebuilding their stack.
How Kana says its system works?
Kana describes its product as a set of “loosely coupled” AI agents, meaning the agents are designed to be configured quickly and integrated into legacy marketing systems while still taking on multiple operations end-to-end.
One example outlined: a marketer uploads a media brief, after which Kana’s agents analyze it to:
- identify the target audience,
- find audiences for targeting, and
- refine the plan using inventory and market research data.
The platform also includes autonomous campaign tracking, optimization, and reporting, positioning it as something that can stay “on” during a campaign, not just assist at setup time.
A notable product claim is Kana’s use of synthetic data to complement external data sources for marketing research and audience targeting. The company’s stated logic: this can reduce reliance on third-party data, fill data gaps, and help marketers test platforms and adjust strategies faster.
The company says the system is designed for human involvement, where marketers can approve actions, give feedback, and tailor how agents behave to match their needs.
Founders with a long martech track record
Kana is not being positioned as a first-time founder experiment. The report notes that Chavez and Vaidya have built multiple marketing technology ventures over decades, and calls Kana their fourth project.
Their earlier companies include:
- Rapt, which the report says Microsoft later acquired in 2008
- Krux, which it says was sold to Salesforce in 2016
- and the startup studio super{set}, where they incubated Kana
That history matters for how Kana is framing its “why now”: in a market full of shiny tools, the company is trying to sell confidence, built on time spent inside the problem.
Chavez, in particular, leans into that point: “We see a market that needs solutions precisely for this moment…”
The “flexibility moat” Kana is betting on
Kana’s differentiation, as described, isn’t a single feature, it’s the promise of real-time deploy/configure/create behavior for agents, so marketers can move faster than systems that require heavier integrations or more rigid setups.
The company is blunt about how it sees the competitive landscape: incumbents and other startups will build similar capabilities, so Kana’s defense is to become a platform that adapts closely to each client.
Chavez describes the advantage as adaptability at a level large companies struggle to match: “We have the opportunity not to build bespoke solutions, but to highly adapt and configure them to meet client needs. Large companies will never achieve that.”
Vaidya, meanwhile, frames it as a third path between building and buying: “not building, not buying, but building together, in a supported way.”
Where the $15 million will go next?
With the seed round closed, Kana says it will use the funds to expand its team across engineering, product, and go-to-market, and formalize deeper institutional involvement with Mayfield’s Navin Chadha joining the board.
The raise is a signal of investor interest in Kana’s model, an adaptable agent platform aimed at helping companies move quickly amid increasing competition in marketing automation.
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