User:Shawndouglas/sandbox/sublevel9

Expected level of integration or interoperability

Please describe how you anticipate your cannabis testing LIMS solution(s) being able to readily integrate or have base interoperability with a client's other software systems, business processes, and existing data while making it easier for the client to perform their laboratory's tasks. What is the broad approach to data exchange and integration in the LIMS, including data integration concerns you expect to arise when moving client data into your system? Include information about specific software integrations (e.g., to enterprise resource planning, seed-to-sale, or other state-specific reporting systems), as well as instrument data systems connectivity for instrument systems common to cannabis testing, including chromatography, spectroscopy, spectrometry, and polymerase chain reaction systems. If possible, provide a list of specifically supported software and instrument systems.

System performance and smart systems

Please elaborate on how your cannabis testing LIMS performs under a variety of workload conditions, from a handful of samples using several integrations to large quantities of samples using 10 or more integrations. In other words, how scalable is the system? Describe what additional smart components are available—including artificial intelligence, machine learning, predictive maintenance, and monitoring components—in the LIMS to help cannabis testing labs further improve laboratory workflow and overall system performance.