Observed Signal · Feb 18, 2026 · Funding · Source: techcrunch · Impact: 2/5 · Sentiment: Positive
Kana Secures $15M to Revolutionize Marketing with AI Agents
Kana, a San Francisco startup, emerged from stealth with a $15 million seed round led by Mayfield to build a suite of AI agents for marketing workflows. Co‑founders Tom Chavez (CEO) and Vivek Vaidya (CTO) — veterans whose prior ventures include Rapt (acquired by Microsoft) and Krux (acquired by Salesforce) — say Kana provides loosely coupled agents that perform data analysis, audience targeting, campaign management, media planning, chatbot optimization and autonomous tracking/optimization while keeping humans in the loop. The platform also offers synthetic data generation to augment third‑party sources. Mayfield managing partner Navin Chaddha will join Kana’s board. The company plans to use the funding to hire across engineering, product and go‑to‑market teams.
Seed funding for a MarTech startup by experienced founders is relevant to marketing technology and agentic AI trends but is not industry‑shifting on its own.
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Key Takeaways & Evidence Grounding
- Kana emerged from stealth and raised $15 million in a seed funding round led by Mayfield.
- Co‑founders are Tom Chavez (CEO) and Vivek Vaidya (CTO); their prior ventures include Rapt (acquired by Microsoft) and Krux (acquired by Salesforce).
- Kana offers loosely coupled AI agents for data analysis, audience targeting, campaign management, media planning, chatbot optimization, autonomous tracking/optimization, and reporting.
- Kana provides synthetic data generation to augment third‑party data for market research and audience targeting.
- Mayfield managing partner Navin Chaddha is joining Kana’s board; the company will hire across engineering, product and go‑to‑market functions.
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Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Kana and Transparent Partners Form Agentic AI Marketing Partnership
Kana, an AI-native marketing platform founded by the teams behind Krux and Rapt, and Transparent Partners, a martech and data consultancy, announced a strategic partnership to help enterprises deploy agentic marketing at production scale. The collaboration pairs Transparent Partners’ data strategy, architecture and change-management services with Kana’s unified agentic platform and its Just-In-Time Data Integration capability. The combined offering targets incremental, use-case-led deployments (audience development, campaign optimization, measurement) and supports warehouse-native queries (Snowflake, Databricks) without copying data. Executives from both firms stress enterprise readiness, governance, and rapid value delivery as core goals of the partnership.
Koah Secures $20.5M to Monetize AI Chatbots with Ads
Koah, a San Francisco startup that inserts clearly labeled sponsored messages into AI chatbots, raised $20.5 million in a Series A led by Theory Ventures. Tomasz Tunguz joined Koah’s board as part of the round. Founded in September 2024 and launched as a two-sided marketplace in early 2025, Koah connects AI app developers with advertisers and takes a 30% revenue share. The company says its network includes partners such as Liner, DeepAI and Viro, has grown to more than 2 million monthly active users, processed over 350 million queries and delivered more than 35 million ad impressions. Koah plans to expand engineering, analytics and new ad formats (including brand-sponsored polls) and uses a mix of AI models, including OpenAI tools, to match and generate ad copy aligned with conversation intent.
Kana: 70% of Enterprises Run AI Agents in Marketing
Kana published The Agentic Divide, a survey of 225 senior marketing, data, and AI leaders at U.S. enterprises with $250M+ in annual revenue, finding widespread deployment of custom AI agents for marketing tasks but persistent uncertainty about ownership and governance. The study reports that 70% of respondents run AI agents in production while only 3% report no marketing AI use. Respondents express high self-reported readiness for governance and data infrastructure, yet identify data governance and data quality as major obstacles. Many expect AI agents to take on a substantial share of routine marketing decisions in the next two years. Kana’s CEO Tom Chavez highlights the gap between rapid adoption and untested governance.
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