Blockalytics

Blockalytics is a technology company that provides a decentralized, cloudless IoT analytics and machine learning platform. The company enables businesses to perform analytics directly at the edge, allowing for real-time insights without the need to transfer sensitive data to the cloud. Its core offering includes the Scarlet SDK, which empowers data scientists and engineers to build, deploy, and manage AI and machine learning models on edge devices. By leveraging generative AI and collaborative or federated learning techniques, the platform allows devices to train shared models locally. This approach ensures that data remains securely stored at its original location, facilitating compliance with privacy and regulatory standards while providing a flexible architecture that supports connected edge, hybrid, and multi-cloud deployments.

This technology is designed to solve critical industrial challenges, such as the high costs and logistical complexity associated with moving large volumes of data to centralized cloud environments. By enabling organizations to utilize local data for actionable intelligence, Blockalytics helps manufacturers, energy operations, and supply chain managers reduce infrastructure costs and improve operational efficiency. The platform is particularly useful for privacy-focused industries where data sovereignty is a priority, offering capabilities like model monitoring, version control, and drift detection to maintain model accuracy over time. Since its founding in 2020, the company has engaged with research and innovation initiatives, including support from the National Science Foundation for its work in distributed memory and industrial analytics.