About Kana
From targeting and analytics to brand visibility and churn prevention, Kana reveals hidden opportunities, eliminates wasted ad spend, and turns every customer moment into intelligent, compounding growth.
A world where marketers and AI work together to create perfect, personal experiences for every customer.
Powered by an always-on data fabric and intelligent orchestration of AI agents, Kana enables brands to learn, predict, and optimize every step of the customer journey for faster growth and smarter business outcomes.

Our Philosophy
We believe AI should truly serve humans, and amplify marketers instead of replacing them.
Not Tools
We focus on real outcomes and ROI, not on creating extra tasks or additional dashboards.
Stewardship
Prepare for a world where data is an asset. Your data stays yours with Kana governance.
Kana = clarity, reach, and transformation.
It evokes “making meaning,” “extending capability,” and “turning signals into action” — a beautiful match for an AI marketing engine.
Who we serve
We help brands, consumer-tech companies, and agencies turn fragmented data and slow workflows into coordinated, revenue-driving action.
Mid-market and enterprise consumer brands, retailers, DTC companies, and media organisations that run complex, multi-channel programs but are bottlenecked by fragmentation, rising CAC, and stalled growth.
High-scale apps, marketplaces, fintech, mobility, and subscription platforms generating massive behavioral datasets but struggling to convert them into coordinated, revenue-driving action.
Agencies face the same drag as their clients: manual research, slow proposals, scattered insights, and pressure on margins and speed. To support brands and media teams, they must stay aligned using shared data and precise methods.
Team
To give every marketing team the power to operate at superhuman speed, transforming fragmented data, rising costs, and operational drag into coordinated action, compounding performance, and profitable growth.

Tom Chavez is CEO of Kana and Founding General Partner of Super{set}. As a serial entrepreneur, Tom has spent the past two decades applying data science, decision theory, and AI to tackle complex, meaningful business problems. Before launching Kana and founding super{set}, he built and led two successful startups: Rapt (acquired by Microsoft in 2008) and Krux (acquired by Salesforce in 2016). He holds a B.A. in Computer Science and Philosophy from Harvard University and a Ph.D. in Engineering‑Economic Systems & Operations Research from Stanford, where he was a NASA Doctoral Fellow.

Vivek Vaidya is CTO at Kana and Founding General Partner at Super{set}. As a seasoned serial entrepreneur and technology leader with over 25 years of experience creating transformative enterprise software solutions in data management, analytics, and AI, Vivek’s entrepreneurial journey includes serving as CTO of Salesforce Marketing Cloud (after Salesforce acquired Krux), and previously as CTO at Rapt, acquired by Microsoft. Vivek holds an MS in Mathematics and Computer Applications from IIT Delhi, and an MS in Computer Science from the University of Denver.

Nick Allen has been in Martech, Adtech and Data for over 20 years, and has been in digital since the inception of his career. Most recently, Nick led the Strategic Enterprise team at Braze, a customer engagement platform recently acquired by Salesforce. Additionally, he has held leadership positions at Tealium, MediaMath and Akamai. He holds a BS from University of Colorado, Boulder.



Why Kana?
Marketing has outgrown its tools. Teams are drowning in too many channels, platforms, dashboards, and manual workflows — while budgets tighten, algorithms obscure visibility, and first-party data becomes the make-or-break advantage.
We combine synthetic data, unified intelligence, and agentic execution into one seamless system that learns, decides, and acts. Not another dashboard. Not another point solution. A new operating layer.
Move faster and outpace the closest competitors.
Spend smart without increasing budgets and see real-time analytics.
Replace manual ops with continuous optimization
Build a durable advantage as AI-native marketing becomes the norm
Extend the capabilities of every marketer, analyst, and strategist