Auxia Lands $23.5M to Expand Agentic AI in Enterprise Solutions
With agentic infrastructure, Auxia transforms raw data into intelligent growth models that automatically deliver dynamic, personalised content.
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Auxia, the 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.
Today, converting an existing customer can be up to 25 times more efficient than acquiring a new one. Still, most companies fail to utilise up to 68% of their customer data for personalisation. 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, personalised content across a company’s most critical customer touchpoints (email, in-app, SMS, etc.).
“Every company knows they need to deliver more personalised 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.”
Enterprise Personalisation Represents a $2 Trillion Market Opportunity
The market opportunity is significant: over $2 trillion in revenue is expected to shift to companies that use AI for personalisation over the next five years. Companies that excel at personalisation generate 40% more revenue from these activities than average players, with leaders growing 10 percentage points faster than laggards. Organisations that integrate AI into their marketing workflows also see 60% higher revenue growth.
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. 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 $650B+ AUM
- Fueled a 40%+ increase in engagement for a large international language learning app with over 25M+ MAU
Transforming Customer Data into Revenue
Built by former Google and Meta engineers and growth leaders, Auxia takes a fundamentally different approach to marketing personalisation 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-optimising 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 synchronised AI agents that work together to hyper-personalise and continuously optimise 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, personalised content and autonomously optimises 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 optimisation, allowing marketers to focus on strategy while measuring the direct impact on revenue growth.
Auxia will use the funding to accelerate its vision of transforming marketing personalisation 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 organisation. Companies interested in learning how Auxia can help transform customer engagement can visit auxia.io.
