Introducing Luma Agent: Your AI Co-Scientist Is Here
Luma Agent is a new proactive AI co-scientist that enables researchers to describe their goals in plain language and then autonomously plans, executes, and delivers complex scientific analyses and reports—such as large-scale compound fragmentation or experimental writeups—within minutes by leveraging over 30 specialized tools integrated with Luma’s data model, dramatically reducing the time and specialist effort previously required.
Luma Agent is now available, enabling scientists to describe what they need and have Luma plan and execute work across their full scientific record, eliminating the need for exports or waiting for a specialist.
Luma has previously offered AI capabilities, allowing scientists to connect to large language models, generate analytical summaries, develop visualizations, and get answers within their dashboards. However, as research questions become more complex and datasets grow larger, the overhead between a scientific question and a trustworthy answer has increased. Reactive AI has reached its limits.
Luma Agent: AI that acts, not just answers
Luma Agent represents the next step in AI for Luma. Unlike a smarter chatbot, it is a conversational AI that plans and executes complex scientific work on behalf of the scientist, utilizing over 30 specialized tools that understand Luma's data model, workflows, registration schemes, material states, and integrations.
Previously, Luma's AI was reactive: a scientist asked a question and received an answer. With Luma Agent, the AI is proactive. A scientist describes a goal, the agent builds a plan, executes it step by step, and returns a complete result. The scientist sets the destination; the agent manages the journey.
Examples in practice:
- A scientist in an Alzheimer's program runs R-group fragmentation analysis across 2,500 compounds using a plain language prompt, receiving a structured report with key observations at a 93.3% success rate, completed in minutes across 9 steps. This process, which previously required a full workday or several hours of specialist time, now takes 1 to 5 minutes.
- A scientist preparing to close out an antibody discovery experiment requests a complete experimental writeup, including full material lineage. The agent retrieves all relevant records and returns an audit-ready report in 1 to 5 minutes, a task that previously took a full workday and was often skipped.
Luma Agent operates on structured data captured at the point of scientific work. Every write operation requires explicit human approval, and every step is logged and auditable. In a market where governance is a major hurdle, Luma Agent is designed to meet these requirements.
What you need to know
For existing Luma customers
- Luma Agent is available now. Contact your Dotmatics account manager to enable it for your instance.
- Once enabled, access Luma Agent directly within the platform—no separate setup or data preparation required.
- Use Luma Agent to configure apps for long-term tracking or project monitoring, with configuration approximately 50% faster than manual methods.
- Account teams can guide you through core use cases: complex data analysis, scientific exploration from the ELN, and automated experimental documentation.
For scientists and digital lab leads evaluating Luma
- Luma Agent is included as part of the Luma platform.
- The best way to understand its capabilities is to see it in action with a real dataset.
- Key use cases: self-serve correlation and fragmentation analysis, ELN-to-analysis workflows without manual data handling, and automated experimental writeups with full lineage.
For developers and data scientists
- Luma offers MCP-compliant interfaces, as recommended by Gartner, and has this in production today.
- Luma configures itself and its apps from the science already defined. When a new app is needed, the agent uses a plain-language description to build the data model, columns, and relationships directly, resulting in a ready-to-use application with auto-generated data flows and documented metadata.
Built for where science is going
Luma Agent marks the point where AI in Luma becomes a co-scientist, handling the connective work between scientific thinking and insight. Scientists can focus on science while the agent manages everything in between.
The foundation for this shift is built on structured data, governed workflows, open protocols, and human approval at every decision point, making Luma Agent a durable and trustworthy solution as agentic AI matures.
Going to Bio IT World? Join us in the booth for a demo of Luma Agent.
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