Dotmatics Introduces Luma Agent, an AI Co-Scientist for Scientific Workflows

Dotmatics announced in a press release the launch of Luma Agent, a new AI capability within its Luma Scientific Intelligence Platform. The system acts as an AI co-scientist that plans and executes complex scientific work using natural language instructions. Built on structured, ontology-backed scientific data, the platform ensures that all actions and outputs are traceable, verifiable, and reproducible.

Luma Agent allows scientists to request tasks in natural language, such as analyzing data, managing workflows, or configuring platform settings. It generates a step-by-step plan, executes it across multiple systems, and provides complete results. Each action is logged with full audit trails, and human approval is required before any data changes occur.

The AI system integrates with external language models through Model Context Protocol, enabling other AI tools to query or configure Luma directly. This design allows teams to build schemas, set up data flows, and modify workflows through conversational interaction rather than manual setup.

According to Dotmatics, Luma Agent is designed to meet governance and traceability standards required in regulated environments. Its foundation in structured scientific data enables it to serve as a reliable node within broader AI workflows used in life sciences research and production.