Auxia Secures $23.5M to Redefine Enterprise Personalization with Agentic AI

Auxia, the first Agentic Customer Journey Orchestration Platform, announced $23.5 million in Series A and seed funding to help companies 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 current Google CMO Lorraine Twohill, Booking.com CMO Arjan Dijk, and former Meta Chief Business Officer David Fischer.

converting an existing customer can be up to 25 times more efficient than acquiring a new one. Still, most companies fail to utilize up to 68% of their customer data for personalization. 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.”

Also Read: Swap Secures $40M Series B to Expand E-Commerce Solutions

Transforming Customer Data into Revenue

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 marketing teams, the process is straightforward: set high-level objectives, define your guardrails, and let Auxia’s AI agents handle the complexity. The platform continuously deploys dynamic, personalized content and autonomously optimizes each customer’s journey across their customer’s web, app, email, SMS, and other channels, replacing rigid rule-based systems with model-driven decisions that adapt to each customer in real time. This automated approach eliminates the manual nature of A/B testing and campaign optimization, allowing marketers to focus on strategy while measuring the direct impact on revenue growth.

Investor Perspectives on $23.5M Funding Raise

“Across VMG’s consumer ecosystem, CXOs are eagerly seeking systematic approaches to growing Customer Lifetime Value—the alternative is an expensive user re-acquisition treadmill,” said Indy Guha, General Partner at VMG Technology Partners. “And yet, simple goals like getting a customer to make a second purchase are blocked by the lack of an intelligent link between first-party data and marketing execution. We’re excited to invest behind Auxia because they are practitioners attacking the biggest gap in marketing.”

SOURCE: Businesswire

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