Marketing is one of the few operations no industry can afford to ignore. This is why a host of AI-powered marketing tools are presented to marketers today. All major social platforms, from Facebook and Instagram to TikTok, alongside incumbents like Microsoft and Google, and content-generation startups like Jasper and Copy.ai, offer AI tools that claim to make marketers’ lives easier in countless ways.
That was partly why it was surprising to see another marketing AI startup entering the field. San Francisco-based Kana recently came out of stealth with a suite of AI agents designed for data analysis, audience targeting, campaign management, customer engagement, media planning, and optimization for AI chatbots. The startup has raised $15 million in a seed funding round led by Mayfield.
However, Kana has a distinct advantage that most marketing startups lack. Its co-founders, Tom Chavez and Vivek Vaidya, have been building marketing technology for more than 25 years. Kana is actually their fourth venture. Their previous companies were acquired by Microsoft and Salesforce, and they incubated Kana within their startup studio for nine months.
Calling this a wondrous time to be building, Chavez stated there was a clear opportunity to apply their experience and modern AI technology to these challenges. He explained they see a market demanding solutions for this moment, and they understand the space deeply from having worked within it for so long and having experienced their customers’ pain points firsthand.
Kana’s solution involves what it calls loosely coupled AI agents. These agents can be tailored on the fly, integrated into existing marketing software, and can work simultaneously on different tasks. For example, a marketer could upload a media brief. Kana’s agents would then analyze it to determine campaign goals, search for the appropriate audience to target, and pull in data from inventory and market research to further refine the plan. The platform also includes autonomous campaign tracking, optimization, and reporting.
Alongside its agents, Kana offers synthetic data generation to augment third-party data sources for activities like market research and audience targeting. Chavez argued this could help companies reduce the costs of using third-party data, fill in data gaps, and allow marketers to run tests on various platforms more quickly to narrow down strategies.
Kana states all of this is done while keeping humans in the loop. Marketers can approve the AI agents’ actions, provide feedback, and customize what the agents do as their needs evolve.
The co-founders emphasized the importance of the platform’s flexibility. They believe the ability to deploy, tailor, and build new agents in real time will let marketers see campaign results faster than with legacy systems.
Looking ahead, the startup sees that very flexibility to customize its platform for customers as its primary defense against larger incumbents and other startups building similar products.
Chavez noted they have the opportunity not to create bespoke solutions, but to highly tailor and configure solutions to meet customers where they are, something larger companies are unlikely to achieve.
Vaidya added that they can explore a third option with customers: not to build from scratch or buy a generic product, but to build with Kana in a supported way. He stated they can move with a speed that large companies simply cannot match, and that is their advantage.
Kana will use its new funding to expand hiring across engineering, product, and go-to-market teams. Mayfield managing partner Navin Chaddha is joining the company’s board.