Auxia: $23.5 Million Raised For Transforming Enterprise Personalization With Agentic AI

By Amit Chowdhry • Mar 6, 2025

Auxia, an 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 funding round was led by VMG Technology Partners, with participation from MUFG Innovation Partners (MUIP), Incubate Fund, Vela Partners, Stage 2 Capital, and over 50 industry leaders, such as 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 25x more efficient than acquiring a new one. Still, most companies fail to utilize up to 68% of their customer data for personalization. And Auxia enables 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.).

Since launching in early 2024, Auxia saw rapid adoption, with existing retail, finance, and other enterprise customers increasing their usage by over 35% month-over-month. And the platform now processes over 2.6 billion events daily and handles 6,500 queries per second at peak performance. Early customer results include:

— Increased cross-category customer lifetime value by 84% in just four months for one of the largest C2C marketplaces in the world

— Boosted onboarding completion rate by 50%+ for a global financial services institution with over $650+ billion AUM

— Fueled a 40%+ increase in engagement for a large international language learning app with over 25+ million MAU

Created by former Google and Meta engineers and growth leaders, Auxia takes a fundamentally different approach to marketing personalization through three key innovations. And its 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 simultaneously test multiple self-optimizing ML models and hundreds of concurrent hypotheses—far beyond what traditional A/B testing allows. Usually, this work is done manually by a data science or engineering team, taking 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 to hyper-personalize and continuously optimize every customer interaction across channels.

This process is straightforward for marketing teams: set high-level objectives, define your guardrails, and let Auxia’s AI agents handle the complexity. And the platform continuously deploys dynamic, personalized content. It autonomously optimizes each customer’s journey across their 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.

Auxia will use this 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. And the company plans to expand its Analyst and Content AI capabilities while developing new AI Decisioning Agents. Plus, Auxia will scale its sales and marketing teams to support U.S. expansion and strengthen its customer success organization.

KEY QUOTES:

“Every company knows they need to deliver more personalized experiences, but most still rely on manual processes and rigid customer segments. 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.”

– Sandeep Menon, co-founder and CEO of Auxia

“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. 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.”

– Indy Guha, General Partner at VMG Technology Partners