The San Francisco-based AI-native marketing startup raised $17 million in Series A funding to help enterprise marketing teams automate personalization, experimentation, and decisioning at scale.
JustAI, an AI-native marketing platform built for enterprise marketing and growth teams, announced it has raised $17 million in Series A funding to scale its agentic marketing platform in the United States. The round was led by Base10 Partners, with participation from Y Combinator and Peak XV Partners.
The financing also included strategic investors and operators from Anthropic, Chime, and Notion, along with the CTO of HubSpot and the founders of Eppo and Vapi.
Founded by Neha Mittal and Jeff Hara, JustAI is developing a new AI-first infrastructure layer for marketing teams that need to deliver more personalization, faster experimentation, and stronger customer engagement. They need to achieve this without adding headcount or stitching together more software tools.
The new capital will be used to expand its engineering and go-to-market teams and deepen its agentic infrastructure. Their plan also includes extending its platform beyond consumer companies into e-commerce and B2B marketing use cases.
Building an AI-Native Marketing Platform
Marketing technology has become increasingly complex. Growing demands on teams include greater productivity, as measured by a higher number of campaigns run, and the personalization of messaging across customer segments. They must further prove that a measurable impact is achieved, yet having limited resources.
JustAI is targeting this gap by building an AI-native marketing platform that helps companies move beyond manual campaign workflows, rigid segmentation, and traditional A/B testing.
Its system is designed to bring together strategy, creative, decisioning, and data agents so marketing teams can operate with more automation and intelligence across the customer lifecycle.
Their productivity solution is captured in the 2025 Marketing Technology Landscape that counted more than 15,000 martech products. According to Gartner’s 2026 CMO Spend Survey, CMOs are allocating 15.3% of marketing budgets to AI, yet only 30% feel ready to scale AI capabilities.
“We want marketers to spend less time managing tools and more time making the decisions that drive growth,” said Mittal, CEO of JustAI. “Marketing teams have spent the last decade buying more tools to manage more workflows. But the real opportunity with AI is not another dashboard or another automation layer. It is giving every great marketer the ability to operate with the leverage of an entire team. JustAI is the infrastructure for that shift.”
Agentic Marketing is bringing key changes
Unlike traditional marketing automation, which often relies on preset rules, workflows, and static customer segments, agentic marketing systems are designed to adapt to user behavior, business goals, and real-time performance data.
For the enterprise teams that JustAI serves, this shift could be significant. Instead of manually building and testing every campaign variation, marketers can use AI agents to identify customer opportunities, generate campaign ideas, personalize messages, optimize timing, and measure impact.
Its platform aims to provide marketers with visibility and control while enabling AI agents to execute sophisticated campaigns at scale.
Four Coordinated AI Agents for Marketing Teams
JustAI’s platform is organized around four coordinated agents that support different parts of the marketing process.
The Strategy agent helps marketers audit users, segments, and product surfaces. This allows teams to identify where engagement, retention, or revenue opportunities may exist.
The Creative agent turns those insights into brand-forward messaging across channels such as email and in-app experiences. This gives teams a way to generate more relevant creative without starting every campaign from scratch.
The Decisioning agent optimizes for business goals such as engagement, retention, and revenue while operating within marketer-defined guardrails. This is central to JustAI’s effort to move marketing teams from static campaign logic to adaptive decision-making.
The Data agent continuously measures lift, surfaces insights, and feeds learnings back into the system. This creates a feedback loop intended to help campaigns improve over time.
Together, these agents help companies predict the next best message or action for each user. The platform is designed to replace manual workflows and deterministic campaign logic with adaptive, AI-powered decisioning.
Helping Enterprise Marketers Personalize at Scale
JustAI is seeing the fruits of its AI-powered marketing infrastructure. The company reported that it grew annual recurring revenue by 5X this year and influenced more than $100 million in customer revenue last year.
For marketing teams, one of the major challenges is personalization at scale. Many organizations have the data to understand customer behavior but lack the resources, infrastructure, or technical support to act on it quickly across multiple channels.
JustAI is positioning its platform as a way for marketers to gain more leverage without becoming dependent on engineering teams for every campaign or experiment.
When describing how JustAI unlocked new capabilities at Coursera, Vera Hui, Director of Marketing at Coursera, said, “It would have required a dev team in the past, wouldn’t have done it myself.”
That captures the core of the broader market opportunity JustAI is pursuing: enabling marketing teams to run more advanced personalization and experimentation programs without requiring constant developer support.
Founder Experience Across Growth, Machine Learning, and AI
Co-founders Mittal and Hara bring complementary skills to their startup.
Mittal brings more than a decade of growth and retention experience from companies including Twitter and Pinterest. Her experience at high-growth consumer technology companies helped shape JustAI’s focus on the challenges of personalizing marketing at scale with legacy tools.
Hara brings deep experience in machine learning and recommendation systems. Together, the founding team combines expertise in growth, infrastructure, creative systems, and artificial intelligence.
For Base10 Partners, the combination of market need, technical depth, and early traction made JustAI a strong fit.
“JustAI is one of the few teams building a true decisioning and measurement layer for marketing teams that marketers have needed, and the traction backs it up: 5X ARR growth and over $100 million in customer revenue influenced last year,” said Rexhep Dollaku, General Partner at Base10 Partners. “Neha and Jeff combine hard-won growth experience with deep ML depth, and we’re honored they chose us as partners for this round.”
Why JustAI’s Funding Matters for the Future of Martech
The JustAI Series A comes at a moment when marketing leaders are actively exploring how AI can improve productivity, customer engagement, and revenue growth. Yet many companies remain early in the process of moving AI from experimentation to operational scale.
JustAI’s approach reflects a larger shift in enterprise software: moving from software that requires humans to operate every workflow to AI-native systems that can help plan, execute, optimize, and learn across workflows.
Now, agentic marketing platforms will reduce the operational burden on marketing teams while improving the quality and speed of customer engagement. For companies competing on retention, conversion, and lifetime value, such infrastructure could become increasingly important.
Expanding Into E-Commerce and B2B Marketing
With the new funding, JustAI plans to expand its engineering and go-to-market teams while deepening the agentic infrastructure behind its platform. The company also plans to broaden its focus beyond consumer businesses into e-commerce and B2B marketing use cases.
That expansion could position JustAI to serve a wider range of companies seeking AI-powered personalization, campaign optimization, and customer engagement tools.
JustAI is betting that the next major leap in martech will not come from adding another dashboard. Instead, it will come from providing marketers with intelligent agents that can help them make better decisions and act on them at scale.
