Conversion, an AI-powered marketing automation startup founded by two UC Berkeley dropouts, recently announced the successful closure of a $28 million Series A funding round. This investment is expected to fuel the startup’s efforts to challenge and replace legacy marketing automation tools with its advanced AI-driven platform.
Founded five years ago by CEO Neil Tewari and CTO James Jiao, Conversion has grown from a college project into a promising company that aims to revolutionize the marketing technology landscape. The two met as roommates at UC Berkeley, where their shared entrepreneurial drive led them to experiment with marketing tools before developing their own solution that layers additional automation features on top of existing platforms like HubSpot.
The $28 million Series A round was led by Abstract, with contributions from True Ventures and HOF Capital, bringing Conversion’s total funding to approximately $30 million from seed and Series A combined. The startup is already making strides in expanding its operations and continuing product development.
What Makes Conversion Different?
Unlike many marketing automation platforms targeting startups choosing tools for the first time, Conversion is designed to attract businesses currently using older legacy systems such as HubSpot, Adobe Marketo, or Salesforce Pardot. The company aims to provide a more robust, AI-native alternative that automates workflows more intelligently and efficiently.
The platform leverages artificial intelligence to help marketers streamline repetitive tasks, personalize customer engagement, and optimize campaign performance with real-time data insights and automation. Its approach focuses on enhancing productivity while reducing the dependency on manual processes.
The Founding Story
Neil Tewari’s entrepreneurial journey began in high school when he was caught watching a live tech event instead of attending class. His enthusiasm for tech and startups persisted through college, where together with James Jiao, he coded and tested multiple concepts before settling on AI-powered marketing automation as their cornerstone technology.
Market Context and Competition
The marketing automation scene is highly competitive, featuring legacy solutions and an increasing number of AI-first startups like Jasper, Writer AI, Iterable, and Copy.ai. Conversion’s founders exude the confidence of Silicon Valley entrepreneurs, focusing their strategy on converting users from traditional platforms with a solution that integrates seamlessly and offers advanced AI capabilities.
Leading marketing automation tools continue to incorporate AI features, such as HubSpot’s AI-powered Campaign Assistant and CRM enhancements, or ActiveCampaign’s multilingual workflow automations and generative AI content tools. However, Conversion uniquely positions itself as a dedicated AI marketing automation startup challenging the incumbents.
Significance of the Series A Funding
The injection of $28 million is expected to accelerate Conversion’s growth, allowing the startup to scale its product, enrich AI functionalities, and broaden its market reach. This capital infusion validates investor confidence in Conversion’s vision and the increasing demand for AI-driven marketing solutions in 2025.
With the founders now financially stable and organized with separate apartments, the startup’s internal morale is high, encouraging continued innovation and operational excellence.
Key Takeaways for Marketers
- Conversion provides an AI-enhanced alternative to legacy marketing automation platforms.
- Its technology automates repetitive marketing tasks, enabling better personalization and campaign optimization.
- The startup’s recent $28 million funding round fuels expansion and R&D efforts.
- Conversion targets existing users of older marketing automation tools rather than new startups.
As AI continues to reshape the marketing automation landscape, Conversion’s progress illustrates the dynamic shift toward intelligent, data-driven marketing solutions that empower businesses to engage customers more effectively.
