Compound Management
At Sai Life Sciences, compound management underpins data reliability, traceability, and discovery efficiency. Our platform manages chemical and biological assets with precision across their lifecycle—from acquisition and registration to storage, retrieval, and distribution. Designed to support high-throughput discovery environments, the system reduces manual intervention, minimizes variability, and ensures consistent access to assay-ready materials. Through integrated digital systems, and defined quality frameworks, we support reproducible science, efficient screening campaigns, and the integrity of every compound advancing your research.
Our Capabilities
Library Design & Management
Creation, formatting, and curation of screening libraries aligned to program requirements.
Compound Registration & Quality Control
Accurate documentation, purity assessment, and lifecycle traceability.
Automated Storage & Retrieval
Robotic handling to preserve sample integrity and enable rapid access.
Assay-Ready Plate Preparation
High-throughput plating, dilution, and reformatting for seamless transfer to biology workflows.
Inventory Management & Tracking
Real-time digital monitoring for operational control and audit readiness.
Distribution & Logistics
Coordinated domestic and global shipment with maintained chain-of-custody.
Our Capabilities
Library Design & Management
Creation, formatting, and curation of screening libraries aligned to program requirements.
Compound Registration & Quality Control
Accurate documentation, purity assessment, and lifecycle traceability.
Automated Storage & Retrieval
Robotic handling to preserve sample integrity and enable rapid access.
Assay-Ready Plate Preparation
High-throughput plating, dilution, and reformatting for seamless transfer to biology workflows.
Inventory Management & Tracking
Real-time digital monitoring for operational control and audit readiness.
Distribution & Logistics
Coordinated domestic and global shipment with maintained chain-of-custody.
Technology & Infrastructure
Compound management operations are supported by automated storage modules, barcode-based tracking, and integrated LIMS platforms. Controlled temperature and humidity conditions maintain long-term compound stability, while robotics-enabled workflows reduce handling error and turnaround time.
Built on data integrity principles, the system provides real-time visibility, traceability, and auditability to support global R&D programs.
Frequently Asked Questions
Compound registration and inventory tracking are managed through CORAL (Compound Organization and Registration Automated Logistics System). CORAL integrates with Mosaic Sample Bank and Tecan Liquid Handlers to automate compound lifecycle activities from registration through storage and retrieval.
The platform centralizes data, enhances traceability, and reduces manual intervention, supporting high-throughput discovery operations across Sai Life Sciences’ R&D infrastructure.
Yes. Automated liquid handling and sample preparation are integrated into compound management and bioanalytical workflows. CORAL interfaces with Tecan Liquid Handlers and Mosaic Sample Bank to enable precise, high-throughput, and traceable sample processing.
Automation improves reproducibility and operational efficiency, particularly for large compound libraries and DMPK workflows.
Yes. Compound management systems are integrated with LIMS and high-throughput screening (HTS) platforms to enable seamless data flow and operational coordination. CORAL works alongside automated liquid handling and storage systems to support compound registration, sample preparation, and logistics.
This integration enhances traceability, reduces manual errors, and supports efficient screening operations.
Yes. The infrastructure supports HTS sample logistics for large compound libraries. Automated compound registration, liquid handling, and plate preparation systems enable efficient and traceable sample processing.
These capabilities support both target-based and phenotypic screening workflows while maintaining data quality and reproducibility.