JustAI, an AI-native marketing startup, has raised more than $17 million in a Series A funding round led by Base10 Partners, as the company looks to expand its agentic marketing platform and strengthen its position in the rapidly evolving enterprise martech market. Existing investors Y Combinator and Peak XV Partners also participated in the round, alongside strategic investors including operators from Anthropic, Chime, Notion, HubSpot, Eppo and Vapi.
The San Francisco-based company said the fresh capital will be used to grow its engineering and go-to-market teams, deepen its AI infrastructure and expand into additional enterprise use cases across e-commerce and B2B marketing. The funding comes at a time when enterprises are increasingly looking for AI platforms that can automate marketing decisions rather than simply assist with content creation.
Founded by Neha Mittal and Jeff Hara, JustAI is building what it describes as an AI-native marketing platform that combines strategy, creative development, decision-making and analytics into a unified system. Instead of relying on traditional workflows, rules-based segmentation and isolated experimentation tools, the platform is designed to help marketers automate customer engagement, personalise campaigns and continuously optimise performance using reinforcement learning and agentic AI.
According to the company, marketing teams today face growing pressure to deliver more personalised customer experiences while managing increasingly fragmented technology stacks. Industry estimates suggest the martech ecosystem now consists of more than 15,000 products, making integration and operational efficiency major challenges for enterprise marketers. JustAI says its platform aims to simplify that complexity by allowing multiple AI agents to collaborate across campaign planning, execution and optimisation.
The platform is organised around four specialised AI agents. A Strategy Agent analyses users, customer segments and product opportunities. A Creative Agent develops brand messaging across channels such as email and in-app experiences. A Decisioning Agent optimises campaigns based on business objectives while operating within marketer-defined guardrails. Finally, a Data Agent measures campaign performance, generates insights and feeds those learnings back into the system to improve future outcomes.
The company claims the platform has recorded fivefold annual recurring revenue growth over the past year and has influenced more than $100 million in customer revenue. Customers include Coursera, ClickUp and Better, while the company says marketers can use the platform to predict the next best action for individual users without relying on conventional A/B testing or manual campaign management.
The funding reflects growing investor confidence in agentic AI, where autonomous systems perform complex business tasks with limited human intervention. Rather than functioning as standalone copilots, these AI agents can analyse data, generate recommendations, execute campaigns and learn continuously from customer interactions.
The announcement also highlights a broader shift within enterprise marketing technology. Organisations are increasingly moving away from adding isolated AI features to existing software and instead adopting AI-native platforms capable of orchestrating multiple marketing functions through a unified intelligence layer. As enterprises seek measurable returns from AI investments, platforms that combine automation, personalisation and decision-making are attracting significant investor interest.
For marketers, the latest investment signals that AI's next phase may extend well beyond content generation. Agentic platforms are increasingly being positioned as operational systems capable of handling campaign execution, experimentation and optimisation at scale while allowing marketing teams to focus on strategy, creativity and business growth. As competition intensifies across the martech industry, companies such as JustAI are betting that autonomous marketing will become a defining capability for the next generation of enterprise customer engagement.