AI Research Assistant

Labii AI Research Assistant brings configurable AI into ELN and LIMS workflows so researchers can turn unstructured input into structured records, automate repeatable data tasks, and receive contextual help where the work happens. Teams can create task-specific GPTs, choose an appropriate model for each job, manage token-based usage with credits, and disable AI whenever it is not needed.

Select an AI model based on the work you need to complete. Use a lower-cost model for straightforward extraction or formatting, and choose a more advanced model for complex reasoning, scientific interpretation, or demanding generation tasks—balancing capability, speed, and cost.

AI assistance in Labii is optional. Turn it off when your organization does not need AI, wants to control usage, or prefers a workflow without AI; the rest of the Labii platform remains available for your research and data-management work.

Configure an AI Assistant for field-specific work so users can transform data directly where it belongs. A long address string, for example, can be parsed into street address, city, state, postal code, and other related fields without manually separating every value.

Each record section can provide an AI Assistant tailored to the widget and the work performed there. The Flowchart widget can generate a flowchart from a description, while the Ketcher chemical drawing widget can turn a chemical name or description into a structure—keeping assistance relevant to the research context.

AI-assisted research is still evolving, and Labii is continually improving how the AI Assistant supports scientific work. We will continue expanding task coverage, model choices, controls, and research-specific workflows so teams can adopt useful advances as the technology develops.