Axoniq CEO Jessica Reeves: Event Sourcing, AI Explainability & Enterprise-Ready Agentic Platforms

Description

Axoniq Unveils End-to-End AI Platform with Native Explainability for Enterprise Applications In this exclusive VMblog Expert Interview, Jessica Reeves, CEO of Axoniq, reveals how her company is addressing one of enterprise AI's most critical challenges: building truly AI-ready infrastructure from the ground up rather than bolting AI onto legacy systems. The Event Sourcing Advantage Unlike many solutions that serve as "wrappers" around AI, Axoniq's platform is built on a foundation of event sourcing architecture that has been in development for 15 years. This approach provides enterprises with a single source of truth and complete lineage tracking—showing exactly what an application has done, when it did it, and why. "Would you make a life decision based off of your life today or would you make it based off of your full childhood and your history?" Reeves asks, drawing a parallel to how AI systems should access complete application context rather than just current state data. Native Explainability Across the Stack Axoniq introduces what Reeves calls "AIX" (AI explainability)—a new market category that extends beyond model explainability to encompass the entire infrastructure layer. The platform natively surfaces: Complete event sequences and timestamps User and system action attribution Full replay capabilities for debugging and compliance Audit-ready trails built automatically as applications develop This explainability layer serves multiple stakeholders: compliance teams gain instant audit trails, developers can replay system states for debugging, and AI agents receive richer context for better decision-making. Real-World Impact The results speak volumes. Reeves shares that Barclays became audit-ready within a month of deployment—a process that typically takes nearly a year. A major Swedish furniture retailer saw 2,400% faster performance after switching to Axoniq's technology. From Code to Deployment in One Platform In an exclusive demo, Reeves showcases Axoniq's complete AI journey: Learn: Built-in modules and certifications Build: Natural language prompting that generates production-ready backend code (currently Java/Kotlin, with multi-language support coming) Analyze: Conversational insights into application behavior Monitor: Real-time observability with optimization recommendations The platform supports both greenfield development and refactoring existing code, allowing organizations to transform gradually or completely rebuild. Industry Applications Regulated and complex industries are early adopters, particularly: Financial services: Trading systems requiring real-time processing and compliance E-commerce: Supply chain, demand pricing, and fulfillment orchestration handling hundreds of thousands of events per second The AI Readiness Imperative Reeves concludes with a stark warning: "The longer you wait for that AI readiness, just the more complex and expensive it will be. It's coming—in some regards it's here." She predicts the AI transformation will be 10 to 100 times the magnitude of the cloud era, lowering barriers to entry so that even non-technical users can build applications. Try Axoniq Today The new Axoniq platform is now available at axoniq.io with free AI credits while they last. Watch the full interview above to see the platform demo and learn more about building enterprise AI infrastructure the right way.