Compare LabWare LIMS vs. Mosaic

14,000 laboratories. 125 countries 98% customer satisfaction! LabWare's range of laboratory automation solutions can help you increase productivity, throughput and efficiency, as well as data integrity and compliance. LabWare offers flexible deployment options. Laboratories that are looking to deploy in a matter of days can choose the fully-validated and cost-optimized SaaS LIMS with best practice workflows. Laboratories who require a fully customizable enterprise-level LIMS/ELN for their business can choose from either self-hosted or flexible cloud deployment options. LabWare users have access to world-class features like lot management, sample and stability management, instrument interfacing and workflows and dashboards, inventory and COA management, COAs, barcoding and many more.

Mosaic from Cenevo is the leading sample management solution for life sciences, supporting organizations across pharmaceuticals, biopharma, agroscience, CROs, and not-for-profits. It centralizes the tracking, storage, and handling of diverse biological and chemical samples—including compounds, reagents, cell lines, DNA, proteins, and tissues—within a secure, auditable system. Built on over 20 years of domain expertise, Mosaic replaces manual tracking and disconnected tools with automated workflows that enhance data accuracy, reproducibility, and regulatory compliance. Its robust audit trails and sample histories allow labs to confidently trace experiments, ensuring transparency for both research and client communications. The platform integrates seamlessly with leading laboratory instruments, robotics, and informatics systems to support high-throughput environments. With over 150 global implementations and more than one billion samples managed, Mosaic is trusted by small biotech labs and large pharmaceutical enterprises alike. Its flexible modular architecture and mobile compatibility provide scalability for both evolving and enterprise-scale operations. Mosaic empowers laboratories to optimize efficiency, reduce errors, and make data-driven decisions with confidence.