Speedata.io is a deep-tech semiconductor company developing a purpose-built Analytics Processing Unit (APU) designed to dramatically accelerate large-scale data analytics and AI data-preparation workloads. Its technology targets some of the most compute-intensive stages of modern data pipelines, including ETL, real-time streaming, database queries, and analytics frameworks such as Apache Spark. Unlike general-purpose CPUs or GPUs, Speedata’s APU is architected specifically for analytics operations, offloading heavy data processing into dedicated silicon. This approach delivers orders-of-magnitude improvements in performance while significantly reducing infrastructure costs, power consumption, and data-center footprint. Speedata’s solution integrates seamlessly into standard server environments, enabling enterprises to accelerate complex analytics workloads with minimal changes to existing software stacks. The result is faster insights, improved scalability, and a more efficient path from raw data to actionable intelligence.

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