Co-Scientist
Co-Scientist add-on
Your AI-Powered Scientific Assistant for Laboratory Data Intelligence
Co-Scientist is an advanced AI assistant designed to help researchers unlock the full value of their laboratory data. Powered by cutting-edge LLM (Large Language Model) and RAG (Retrieval-Augmented Generation) technologies, Co-Scientist can reason over your scientific information, transforming data into actionable knowledge.
Integrated with LabCollector LIMS, ELN systems, and other laboratory data sources, Co-Scientist can access, analyze, and interpret documents, experimental records, samples, protocols, and datasets across your organization. Simply ask questions in natural language and receive accurate, context-aware answers based on your laboratory’s knowledge base.

Key benefits
- Hypothesis Generation:
Identify patterns, relationships, and emerging trends within your data to generate new scientific hypotheses and research opportunities. - LLM & RAG Technology:
Leverage the power of modern AI combined with intelligent data retrieval to obtain reliable, contextualized answers grounded in your laboratory information. - Visual Insights:
Automatically generate charts, summaries, and visual representations that make complex datasets easier to understand and share. - Intelligent Analysis:
Analyze documents, experimental results, and large datasets to uncover meaningful insights and accelerate decision-making. - Large-Scale Data Exploration:
Search and interrogate vast volumes of data across multiple systems, experiments, projects, and repositories in seconds.
Find What You Need, Instantly
Quickly locate experiments, records, samples, protocols, and datasets across your laboratory ecosystem. By eliminating time-consuming manual searches and providing intelligent scientific assistance, Co-Scientist helps researchers work faster, make better decisions, and focus on discovery.
Co-Scientist turns your laboratory data into scientific knowledge on demand.
Manual: Co-Scientist SetupKnowledge-Base: Using the Co-Scientist add-on in ELN






