Auxia raises $23.5M to reinvent enterprise personalization with agentic AI

Auxia, the first Agentic Customer Journey Orchestration Platform, announced $23.5 million in Series A and seed funding, enabling the company to help organizations transform how they engage with customers and drive additional revenue.

The latest round was led by VMG Technology Partners, with participation from MUFG Innovation Partners (MUIP), Incubate Fund, Vela Partners, Stage 2 Capital, and more than 50 industry leaders, including the current Google CMO Lorraine Twohill, Booking.com CMO Arjan Dijk, and former Meta chief business officer David Fischer.

Auxia will use the funding to accelerate its vision of transforming marketing personalization through AI, with significant investment in engineering talent to support the next iteration of its AI agents. The company plans to expand its Analyst and Content AI capabilities while developing new AI Decisioning Agents.

Additionally, Auxia will scale its sales and marketing teams to support U.S. expansion and strengthen its customer success organization.

Auxia empowers B2C enterprises to unlock the full potential of their first-party data by seamlessly orchestrating intelligent customer journeys. With agentic infrastructure, Auxia transforms raw data into intelligent growth models that automatically deliver dynamic, personalized content across a company’s most critical customer touchpoints (email, in-app, SMS, etc.).

“Every company knows they need to deliver more personalized experiences, but most still rely on manual processes and rigid customer segments,” said Sandeep Menon, co-founder and CEO of Auxia. “We’re giving marketing teams the same AI capabilities that tech giants use without requiring an army of data scientists and engineers to build it internally.”

Since launching in early 2024, Auxia has seen rapid adoption, with existing retail, finance, and other enterprise customers increasing their usage by over 35% month-over-month, according to the company.

Built by former Google and Meta engineers and growth leaders, Auxia takes a fundamentally different approach to marketing personalization through three key innovations.

First, its cutting-edge infrastructure automatically extracts and processes real-time signals from first-party data, which most companies typically leave untapped. Second, its model-driven experimentation platform enables teams to test multiple self-optimizing ML models and hundreds of concurrent hypotheses simultaneously—far beyond what traditional A/B testing allows.

Traditionally, this work is done manually by a data science or engineering team, taking upwards of 3-6 months to create a robust ML platform and feature store to support model training, inference, and serving. Finally, Auxia empowers marketing and product teams with synchronized AI agents that work together to hyper-personalize and continuously optimize every customer interaction across channels.

For more information about this news, visit www.auxia.io.