In March 2026, Auxia announced a major milestone: surpassing 100 billion cumulative autonomous decisions. Processing approximately 400 million decisions per day and handling over 200 petabytes of first-party data annually, this platform is making rules-based marketing a relic of the past.
π Table of Contents
1. What is Auxia? β Defining Agentic AI
Auxia is an Agentic Marketing Platform founded in 2022 and headquartered in Palo Alto, California, with engineering in Bengaluru, India, and offices in Tokyo, Japan.
"Agentic AI" refers to AI systems that don't just analyze data β they autonomously take action, verify outcomes, and self-improve. Auxia is a pioneer in applying this paradigm to enterprise marketing at scale.
2. Why Traditional Marketing Tools Fall Short
Enterprise marketing faces three fundamental challenges that Auxia addresses:
- Rules-based limitations: If-then campaign logic can't scale to true 1:1 personalization across millions of users
- Tool fragmentation: Enterprises average 20+ MarTech tools, creating data silos and fragmented customer experiences
- Data science bottleneck: Advanced ML requires scarce talent; a single A/B test can take weeks to design and analyze
3. The Auxia Platform β 6 Core Capabilities
Agentic Orchestration
Synchronized AI agents autonomously determine the best message, timing, and channel for each user β "Next-Best-Everything."
1:1 Journey Orchestration
Dynamic, adaptive customer journeys that respond to individual behavior in real-time across onboarding, retention, and cross-sell.
1P Data Activation
Direct BigQuery integration unlocks predictive signals from structured and unstructured first-party data using causal and deep learning.
Model-Driven Experimentation
Hundreds of concurrent, self-optimizing experiments far beyond traditional A/B testing. AI identifies winners in real-time.
Unified AI-Native UI
A single chat-based console combining decisioning, content generation, and insights. Proactively surfaces recommendations.
AI Analyst Agent
Translates campaign data into natural-language revenue insights β no data science team required for advanced analytics.
4. Founding Team β Google & Meta DNA
Sandeep Menon (Co-founder & CEO) spent 9+ years at Google as VP of Marketing for Payments, leading global marketing for Android, Chrome, Google Play, and the "Next Billion Users" initiative.
Ravi Desh (Co-founder & CTO) served as Engineering Lead at Meta with 20+ years of experience, building payment infrastructure for WhatsApp.
Additional co-founders include Asim Krishna Prasad, Luv Misra, and Cole Stuart, forming a team that merges Google and Meta engineering cultures.
5. Enterprise Results β Fortune 500 Adoption
| Metric | Result | Context |
|---|---|---|
| Revenue Impact | $12M | Single enterprise, first year |
| New Sign-ups | 50x increase | AI journey optimization |
| Click-Through Rate | 5x improvement | Personalized content effect |
| Customer LTV | 84% increase | Major marketplace, 4 months |
| Deployment Time | Weeks | vs. months for traditional MA |
6. Auxia vs Traditional MarTech
| Dimension | Traditional MA | Auxia |
|---|---|---|
| Decision Method | Rules-based (if-then) | Autonomous AI agents |
| Personalization | Segment-level | True 1:1 individual |
| Optimization | Manual A/B tests (weeks) | Hundreds of concurrent auto-experiments |
| Channel Integration | Siloed per tool | Unified orchestration |
| Processing | Batch (hours delay) | Real-time (milliseconds) |
7. The Future of Agentic Marketing
Auxia's growth represents a structural shift in marketing: from generative AI experiments to production-grade agentic systems that deliver measurable revenue impact. The era of the "Supermarketer" β where small teams achieve what once required hundreds β is arriving.
π Key Takeaway
Auxia doesn't replace marketers β it autonomizes the execution so humans can focus on strategy and creative storytelling. 100B+ decisions, 400M daily processing, 84% LTV improvement β these numbers prove agentic AI is no longer theoretical. It's production-ready.