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Chemspeed and SciY Launch Open Self-Driving Lab Platform Integrating Automation, AI, and Analytics to Accelerate R&D and Manufacturing

At SLAS2026, Chemspeed Technologies, a leader in the automation and digitalization of research and development and quality control laboratories, and SciY, a pioneer in scientific and laboratory management software focused on lab standardization and AI-readiness, have unveiled their new open Self-Driving Lab (SDL) platform. The platform integrates advanced automation, real-time analytics, and AI orchestration to streamline and accelerate R&D, quality control, and chemical and biomolecular manufacturing workflows. The SDL platform is designed to empower labs to operate with greater efficiency, consistency, and intelligence by connecting hardware automation systems with intelligent software that enables autonomous decision-making. By combining Chemspeed’s expertise in lab automation with SciY’s AI-ready data management and workflow orchestration tools, the platform creates a unified environment where experiments can be planned, executed, monitored, and optimized with minimal human intervention. Key features of the platform include adaptive experiment design, real-time data analysis, automated error detection, and seamless integration with existing laboratory information management systems (LIMS) and enterprise platforms. The open architecture allows researchers to incorporate third-party instruments, AI models, and analytical tools, fostering collaboration and innovation across teams and institutions. The announcement marks a significant step forward in the evolution of modern laboratories, enabling faster discovery cycles, improved reproducibility, and scalable experimentation—critical for advancing drug development, materials science, and other high-impact scientific fields. Both companies emphasize that the SDL platform is built with interoperability and future-proofing in mind, ensuring labs can evolve alongside emerging technologies. The platform is already being piloted in several academic and industrial research settings, with early adopters reporting significant reductions in experimental cycle times and increased data quality. Chemspeed and SciY plan to expand the platform’s capabilities through ongoing partnerships and continuous software updates, positioning it as a foundational tool for next-generation scientific research.

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