Kirk Dunn brings a career of operational experience at top technology companies, including his tenure as COO of Cloudera, where he helped scale the company from its early stages to rapid growth. Now, as CEO of Kurrent, Kirk is transforming how businesses handle real-time data for AI, application development, and analytics.
Kurrent acts like a DVR for business data, capturing not just what happens but also the when, how, and why—while keeping infrastructure costs manageable amid rising AI expenses. Headquartered in San Francisco, Kurrent’s event-native technology is deployed in high-stakes industries worldwide, including finance, tech, oil and gas, manufacturing, retail, healthcare, automotive, and government.
In our conversation, Kirk shares his viewpoint of how the old way was being “data-driven” while the future lies in being “event-driven.” Instead of just collecting and analyzing isolated data points, businesses will expect to capture and understand the complete context and story behind their data.
M.R. Rangaswami: What are the challenges you’ve found with traditional databases and streaming solutions that inspired you to join Kurrent?
Kirk Dunn: Kurrent is solving an age-old data problem in a completely new way. What excited me about Kurrent is that we’ve built something fundamentally different: an event-native data platform that stores data chronologically in an append-only, immutable way. Kurrent never overwrites data like traditional databases do. Instead, our platform is designed to create a permanent, unchangeable log of all data changes that can always be read or queried back and forth in time – in real time, without having to hop between various bolt-on solutions.
Kurrent therefore enables businesses to maintain complete context and truly understand not just WHAT happened, but also the WHEN, HOW, and WHY it happened.
This ability to maintain complete historical context while seamlessly handling real-time streams is transformative. Kurrent is the only solution that unifies event-oriented application logic and state-based data models for developers, providing a single platform to store application data in its native event format while streaming highly curated operational or analytical data products directly to downstream interfaces.
M.R.: Why is data with context key for businesses today, and how does that change the way businesses operate?
Kirk: The insights businesses need to compete and win don’t emerge from isolated data points. They come from understanding the rich, complete context of every situation at any given moment. Context requires following the data journey from origin through lifecycle.
For example, to better serve an ecommerce customer, a business has to understand that person’s whole customer journey: what they put in their shopping cart, what they took out, what they ended up buying on a specific day, what they ended up buying on a different day or forever abandoned in their shopping cart.
Context is absolutely necessary when we look at modern business requirements. Companies may need to understand real-time competitive analysis for pricing intelligence, monitor minute fluctuations in equipment telemetry to ensure precision mining or manufacturing, accurately feed AI models for image recognition, or deliver exact insights about customer behavior. In each of these scenarios, having data without context is like trying to read a book with random pages missing — you might get some information, but you’ll miss the complete story. Operating with context means better revenue or other positive business outcomes in some cases, and could even be life-saving in others.
The way a business runs today should be thought of as a series of events. When you can trace data back to where it originates while maintaining its complete fidelity, you create a single source of truth that enterprises can rely on for both real-time insights and historical analysis. This transforms how businesses operate by enabling truly real-time, context-aware decision making — which is our mission here at Kurrent.
M.R.: What is Kurrent doing that is unique for the market, and how do you think this will shape the way businesses view their data moving forward?
Kirk: Kurrent is unique as it is the first and only event-native data platform that combines an event-native database with integrated streaming capabilities. We’ve built a modern data platform that allows companies to originate data, aggregate it from other sources, and maintain its integrity in an immutable, globally ordered log. Kurrent is able to stream data precisely to the exact point of need, enabling companies to serve their customers in very granular ways.
Our platform has many use cases, and it’s particularly transformative for application development. Being able to build apps and services without sacrificing context, scalability or consistency is key to modern business success. Today’s application development demands reliable data synchronization across services, but developers often face significant challenges that slow down development and introduce complexity. Kurrent provides guaranteed data consistency and simplified architecture for easier microservices development and enhanced service scalability. We like to call it “microservices without the mess.”
Additionally, our platform is perfect for AI/ML workflows, where Kurrent can enrich processes by serving source data to large language models. Kurrent’s ability to process natural language events natively reduces data transformation overhead from the majority of project time to just a fraction. This is crucial because AI models, like analytics systems, typically lose resolution on their data as it’s moved, transformed, updated and reused.
I believe what we are doing at Kurrent will fundamentally change how businesses view their data in the future. The old way was being “data-driven” while the future lies in being “event-driven.” Instead of just collecting and analyzing isolated data points, businesses will expect to capture and understand the complete context and story behind their data. Businesses will demand solutions that can maintain data fidelity, delivered exactly where and when it’s needed with precision and complete context.
M.R. Rangaswami is the Co-Founder of Sandhill.com