Speedata develops accelerated processor for big data analytics across industries. Speedata's Analytics Processing Unit (APU) was designed solely to optimize datacenter and cloud-based database and analytic workloads, dramatically improving performance by orders of magnitude while reducing costs, power consumption and space.

Analytics

Data

Data Center

Semiconductor

Speedata.io

Speedata.io's headquarters in Netanya, Israel

This department focuses on the design, validation, and verification of hardware components to ensure functionality and performance.

Hardware Engineering

The Software Engineering team at Speedata.io is responsible for developing and optimizing software that supports the company's Analytics Processing Unit (APU). The team works on various aspects including embedded systems, verification, full-stack development, and system architecture to ensure that the APU delivers superior performance for big data analytics in datacenter and cloud environments. They focus on improving software efficiency, reducing power consumption, and enhancing the overall functionality of the APU.

Software Engineering

The Leadership Team at Speedata.io drives the strategic vision and operational execution of the company. They oversee the development and optimization of the Analytics Processing Unit (APU), ensure alignment with market demands, manage cross-functional teams, and steer innovation in big data analytics. This team is also responsible for maintaining operational efficiency, securing funding, fostering partnerships, and ensuring that Speedata’s solutions deliver unparalleled performance and cost savings for datacenter and cloud-based databases.

Leadership Team

The Verification and Validation team at Speedata.io ensures the reliability and performance of the company's Analytics Processing Unit (APU). This team rigorously tests hardware designs, validates code integrity, conducts formal verification processes, and collaborates closely with design engineers to identify and resolve any issues, guaranteeing that the APU meets stringent quality and performance standards for optimized data analytics in datacenters and cloud environments.

Verification and Validation

The Engineering team at Speedata.io specializes in designing and optimizing the company's Analytics Processing Unit (APU). This includes developing VLSI and FPGA solutions, leading design initiatives, and enhancing performance to significantly boost data analytics capabilities while reducing operational costs, power usage, and physical space requirements in datacenters and cloud environments.

Engineering

This department is responsible for managing and streamlining the development and operational processes to enhance software delivery and system reliability.

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Software Engineering

Leadership Team

Verification and Validation

Engineering

DevOps Department