Our Users
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 enhance their ability to support organizational growth with vendor-agnostic SciY Suite of solutions, bringing data centralization and standardization, security and compliance and scalability
Research & Innovation
professionals working in academic or industrial research settings use SciY's tools to streamline R&D, manage data, and accelerate products to market
C-Suite
leaders see strategic and operational benefits when implementing SciY’s solutions. Accessibility to data enhances their decision making, efficiency and innovation
Robotics & Automation
leaders use SciY as state-of-the art digitalization layer to manage the data journey through their automation fleet, ensuring FAIR principles, efficiency & compliance
VC & Incubators
enhance their ability to support and grow start-ups in the scientific and technological sectors with digitalization and AI-ready solutions
Regulatory, QC & QA
specialists ensure that products meet regulatory standards. SciY's tools help them manage documentation, track compliance, and prepare for audits
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
prefer SciY solutions because they streamline data management and analysis, ensuring data is Findable, Accessible, Interoperable, and Reusable (FAIR), which is crucial for advancing research and securing funding
Advance Manufacturing Leaders
rely on SciY’s solutions (Data Platform, syntQ and SciYbotic line) for data & knowledge management, advanced control strategies and QbD, while ensuring product quality and data integrity/21CFR part 11 compliance, under GMP