Artificial intelligence moves into the lab notebook

Sapio Sciences has announced what it calls the first AI Laboratory Notebook (AILN), positioning the system as a new generation of electronic lab notebooks that can act as an active scientific collaborator rather than a passive record-keeping tool.

The platform, named Sapio ELaiN, integrates generative and agent-based artificial intelligence to support biopharmaceutical research and development. Unlike traditional electronic lab notebooks (ELNs), which have primarily been used to document and store experimental data, ELaiN is designed to participate in experimental workflows. According to Sapio, the system can help researchers plan and design experiments, analyze results, and maintain compliance with regulatory standards.

Almost one year ago, I predicted that AI would eat the ELN, and with Sapio ELaiN, traditional ELNs are now a thing of the past. Instead of merely recording and storing data, Sapio ELaiN acts as a new kind of agentic AI scientific collaborator, guiding scientists at every step. It understands context, helps plan and design experiments, and analyzes results, always ensuring work is documented, repeatable, and compliant. Sapio ELaiN is not only an expert scientific collaborator, it’s a new notebook experience that makes it simple to use.

Kevin Cramer, CEO & CTO, Sapio Sciences

Electronic lab notebooks have existed for nearly two decades, evolving in recent years to incorporate data modeling and limited analytics. However, these systems are often criticized for being rigid and cumbersome, leaving most of the interpretive burden with researchers. Sapio positions ELaiN as a third generation of ELN, an AI-native platform that can execute both routine and advanced research tasks.

The system is advertised as fluent across multiple domains of research, including cheminformatics, bioinformatics, and structure-based drug design. Crucially, the platform claims to capture full provenance of all actions taken, enabling transparency and reproducibility.

Built-in AI capabilities

• At launch, ELaiN incorporates several AI-powered functions directly into its notebook environment:
• Molecular docking simulations for compound–target interactions.
• Ad hoc data analytics to visualize and interrogate complex datasets.
• Codon optimization to streamline molecular biology workflows.
• Small molecule analysis, including retrosynthesis, toxicity prediction, and solubility estimation.
• Protocol-driven experimentation, where text-based protocols can be transformed into experimental designs with AI assistance.
• Sapio states that new modules will be released continuously, shaped by customer feedback and advances in scientific practice.
• Wider adoption of AI in lab informatics

Sapio ELaiN is part of a broader trend toward embedding AI in laboratory information management systems and related platforms. For example, LabConnect has recently adopted Sapio’s infrastructure to transition from manual workflows to a fully digital environment.