Event-native data platform innovator Kurrent today announced $12 million in funding, its rebrand from Event Store and the official launch of Kurrent Enterprise Edition, now commercially available. Wit...
Autore: Business Wire
Rebrands from Event Store with new funding to energize adoption of industry-first software that captures complete historical context for data analytics, application development and AI
SAN FRANCISCO: Event-native data platform innovator Kurrent today announced $12 million in funding, its rebrand from Event Store and the official launch of Kurrent Enterprise Edition, now commercially available. With a vision to transform every digital interaction into context-rich insights, Kurrent is pioneering a foundational extension to the modern data stack by unifying databases and streaming. The new investment, led by Crane Venture Partners with participation from Creandum, will accelerate the company’s engineering and go-to-market efforts as it scales to meet growing demand.
“Kurrent delivers context-rich data events, giving businesses the complete picture they need to understand and act on their opportunities. By seamlessly unifying streaming software and traditional databases, Kurrent's event-native approach fills a critical gap in the modern data stack, solving a pervasive problem and positioning the company at the forefront of the enterprise AI revolution,” said Krishna Visvanathan, co-founder and partner at Crane Venture Partners.
Where traditional databases have for decades stored the “what,” or state of the business, Kurrent expands on this by adding the context — which is the “when,” “how” and “why” — providing new capabilities that are necessary for the future of data. Kurrent makes it possible for enterprises to easily capture and communicate everything that happens in the business in the highest possible fidelity to a multitude of downstream use cases, including data analytics, application development, AI systems and LLM training.
“Your data should reflect your business model, not the other way around. Kurrent extends enterprise investments in databases and streaming engines like Kafka by enabling businesses to integrate, analyze and respond to real-time events with historical context. It provides a supercharged foundation for decision-making,” said Kirk Dunn, CEO at Kurrent. “Our event-native data platform is purpose-built for today’s advanced analytics, AI/ML and real-time business needs. By guaranteeing data provenance and providing high-fidelity context in fine-grained streams, organizations can make fully informed decisions with their data that directly impact the future of their business.”
Kurrent Enterprise Edition illuminates the business
With Kurrent Enterprise Edition, it is now easier than ever for organizations to deploy, secure and manage their event-native environments at enterprise scale. Built to address rigorous enterprise SLAs for high availability, security and compliance, key features of the new Kurrent enterprise product include a single binary for streamlined deployment, enterprise connectors for improved integration with popular systems commonly in the tech stack, automated scavenging for simplified maintenance, policy-based stream authorization for enhanced security and encryption at rest for strong data protection.
Additional details:
Kurrent puts context in action in today’s complex real-world use cases
Kafka Integration – Kurrent's seamless integration with Kafka delivers enhanced event storage and querying capabilities beyond traditional streaming. The combined solution provides indexed streams for rapid replay, fine-grained stream control and global event ordering — all while reducing load on consumers of streams and maintaining a complete event history for future applications.
Application Development – Kurrent eliminates the traditional divide between event-oriented application logic and state-based data models. Developers now have a single platform to store application data in its native event format (capturing state and context) as well as stream highly curated operational or analytical data products directly to downstream interfaces. This approach simplifies data modeling, eliminates the dual-write problem, and ensures the delivery of the highest integrity data directly to downstream systems, applications and services.
AI/ML Enhancement – Kurrent enriches AI/ML workflows by serving source data to large language models without requiring complex data preparation or vector databases. The platform's ability to process natural language events natively reduces data transformation overhead from the majority of project time to just a fraction. With flexible deployment options and enterprise-grade security, Kurrent seamlessly integrates into existing AI infrastructure while maintaining data fidelity and protection.
“AI models, like analytics systems, are challenged with losing resolution on their data as it is moved, transformed, updated and reused in an effort to gain insight on the business,” said Dunn. “The highest resolution data is source data. This is at the heart of the Kurrent data platform. No matter how many touches downstream systems have on the data, the business can always find its way to the original, native source of truth in the Kurrent platform.”
Supporting customer quotes
“We maintain thousands of image recognition-related AI models for our customers, which involves generating very large amounts of data to monitor and refine their accuracies. Over the years, we have had to devise more efficient ways to deal with the data to make our business feasible. Kurrent’s event-native technology has enabled us to seamlessly expand our system, and in our experience, this has been the smoothest way to implement it,” said Kaan Can Fidan, Chief Architect at Vispera. “As a visual intelligence company for retail, when we set out to modernize the methods brands and retail stores use to analyze stock, we needed a robust and future-proof data platform that could scale — which is exactly what Kurrent provides.”
“Kurrent’s technology has been transformative in helping us deliver the robust pricing intelligence based on real-time competitive analysis our retail clients need,” said Leopold O'Donnell, VP Platform Engineering, Chief Software Architect at Wiser. “The platform gives us unprecedented visibility across multiple online and in-store data sources — from purchase feeds and real-time pricing to sales history and in-store data — effortlessly capturing every detail of our operations with accuracy. It also enables us to show customers exactly why and when pricing recommendations were made, providing the accountability and traceability that builds trust.”
Supporting analyst quote
“Traditional event streaming systems capture isolated processes. Kurrent’s flexible approach makes it possible to understand what happened in the business by replaying data backwards and forwards in time without limitations and incremental costs – like a DVR for business. The Kurrent event-native data platform bridges the gap between traditional databases and streaming solutions to solve an ongoing challenge in data architecture: maintaining complete historical context while seamlessly handling real-time streams. It eliminates the complexity of aggregating multiple streams and the need for assumptions about what streams will be needed across what time spans for various use cases,” noted Ben Woo, CEO and global industry analyst at Neuralytix. “By preserving data in its native format with full context, Kurrent enables applications, analytics systems, genAI or ML models, and agentic AI workflows to be easily hydrated with complete, accurate data — reducing time to value in our hyper real-time economy.”
About Kurrent
Kurrent provides an event-native data platform that feeds real-time, business-critical data with historical context in fine-grained streams from origination to destination, enhancing data analytics and AI outcomes. Kurrent is available on AWS, Microsoft Azure and Google Cloud Platform and as an on-premises solution. Headquartered in San Francisco, Kurrent’s event-native technology is deployed in high stakes use cases in finance, tech, oil and gas, manufacturing, retail, healthcare, automotive, government and many other industries globally. Context in action.™
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Fonte: Business Wire