Our Users

Our solutions target a wide variety of users and sectors

From fundamental research and industrial R&D, all the way to commercial manufacturing

SciY is designed for a wide range of users in the scientific and industrial communities.

SciY provides solutions for data management, analysis, and automation, making it easier to conduct experiments and manage scientific data efficiently.

The platform supports drug discovery and development processes, integrating AI and automation to enhance research capabilities and streamline workflows. It offers solutions for automating manufacturing processes and ensuring quality control in various industries, including life sciences and biopharmaceuticals.

Universities and research institutions can use SciY to facilitate digital transformation in their labs, promoting efficient data handling and collaboration.

Why SciY’s Digitalization Suite?


IT & Enterprise Systems Experts

Support organizational growth with SciY’s vendor-agnostic suite of solutions, bringing data centralization, standardization, security, compliance, and scalability


Research & Innovation Professionals

Use SciY's tools to streamline R&D in academic and industrial research, efficiently manage data, and accelerate product development and delivery to market


C-Suite Executives

Benefit from access to data and AI-driven analytics with SciY to enhance decision-making, accelerate innovation, boost efficiency, and drive profitability—achieving both strategic and operational excellence

 

Robotics & Automation Leaders

Leverage SciY’s state-of-the-art digitalization layer to manage and orchestrate data across the automation fleet—ensuring efficiency, compliance, and adherence to FAIR principles

 

Venture Capitalists & Incubation Partners

Empower the growth of startups in the scientific and technological sectors and drive portfolio synergies with SciY’s digitalization and AI tools

 

Regulatory, QC & QA Specialists

Ensure that products meet regulatory standards, manage documentation, track compliance, and prepare for audits using SciY’s data management tools


Process Engineer & Tech Transfer

Use SciY digitalization suite to enhance process understanding in the lab and seamless knowledge transfer from R&D to manufacturing and back


Academic Researchers

Advance research with SciY’s FAIR data management and multi-technique analysis tools—streamlining workflows, fostering collaboration, and securing funding with confidence


Advanced Manufacturing Experts

Leverage SciY’s data & knowledge management tools, robotics, advanced control strategies and QbD to boost efficiency, reduce costs, and enhance product quality—while ensuring data integrity and GMP compliance