JustAI Announces $17 Million in Series A Funding

JustAI, which enables you to scale hyper-personalized messaging with AI, led by Neha Mittal, Jeff Hara, and the team, has raised $17.5M in Series A, led by Base10, with participation from PeakXV and Y-Combinator.

Reaching this milestone reflects strong confidence from investors and partners in an increasingly competitive market. More importantly, the new funding creates an opportunity to accelerate the next phase of growth and execution.

In reflecting on this moment, focus remains on three key themes: the early supporters who helped make the journey possible, the product that has driven momentum, and the opportunities that lie ahead.

Early Believers.

The journey began just two and a half years ago with little more than a one-page vision. Early supporters played a critical role in turning that vision into reality, often backing the company well before the product or market opportunity was fully proven.

Among those early believers were Michael Seibel, Nirmal and Murph, Jon, Andrew, and Phi, who embraced the vision and experimented with the product when skepticism would have been the easier path. Many of those early supporters have since joined as investors and advisors, reinforcing their commitment to the company’s long-term mission.

Additional support came from Michael, Pete, and Tyler during the Y Combinator journey, as well as Jess and Rajan at Peak XV, who backed the founders and their conviction despite common concerns about the market. More recently, Ade, Rexhi, and Dani at Base10 recognized the opportunity and joined the next chapter of growth.

Equally important has been the founding team, including Jeff and the broader organization, whose willingness to adapt, rebuild, and execute through constant change has helped shape the company’s trajectory. Alongside them, a group of forward-thinking customers continues to play a vital role, providing feedback, challenging assumptions, and helping make the product stronger with every iteration.

The Product.

The company began with a simple observation: critical marketing decisions were still being managed through spreadsheets, while experimentation remained slow and difficult to scale. Applying reinforcement learning to automate those decisions became the starting point.

That process revealed a broader opportunity. Many inefficiencies in marketing workflows persisted not because the technology was unavailable, but because marketers lacked the tools to build solutions themselves and translating requirements into software often took too long. The platform aims to close that gap by enabling marketers to create, customize, and deploy the tools they need, making advanced marketing automation more accessible across organizations.

The Future.

AI is transforming marketing, making legacy workflows increasingly inadequate. The opportunity lies in rebuilding the marketing stack from the ground up, from AI agent infrastructure to workflow automation and execution.

By combining AI, automation, and decision intelligence into a unified platform, the goal is to help marketers move faster, operate more efficiently, and gain a lasting competitive advantage.