Cenevo is introducing two new AI agents to support its push toward agentic laboratories, with the goal of helping scientists work faster and with less manual overhead while maintaining control and compliance.
“Our AI initiatives are designed to eliminate manual work at the two biggest friction points in laboratory operations: getting knowledge into the system and turning that knowledge into action,” according to Cenevo CEO Keith Hale. “We want to give scientists the power to use AI to autonomously solve complex, multi-step workflows, allowing them to focus on the more impactful aspects of their activities.”
The two new tools are the AI Protocol Conversion agent and the AI Automation agent.
The AI Protocol Conversion agent converts legacy, paper-based and static documents into fully structured, reusable, and compliant digital protocols. The agent maps content directly into Labguru’s native elements, including steps and forms. It preserves protocol structure and intent while removing the need for manual copy-paste and reformatting.
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The AI Automation agent enables scientists to define automation goals using natural language, without programming expertise. The agent generates the required workflow logic and code automatically, with human-in-the-loop approvals and full audit trails. Cenevo reports that the agent reduces implementation time and costs by 30–50%.
The AI Automation agent uses Labguru data and integrates with external systems. Scientists retain full control over workflows, from scientific intent to execution. Event-driven workflows can trigger based on experiment status, quality control thresholds, or sample changes. The workflows remain visible, editable, and aligned with FDA 21 CFR Part 11 and GxP requirements.
Together, the two agents create a continuous loop from structured knowledge to automated action. The Protocol Conversion agent brings scientific knowledge into the system, while the Automation agent turns that structure into proactive laboratory workflows.
“With the addition of these new AI agents, and many more to come, scientists’ time will be freed to delve deeper into their research,” according to Jonathan Gross, Cenevo Chief Product Officer. “Generating scientific results requires physical analyses by multiple instruments. That makes AI adoption more challenging than in data-only industries. That’s why we’re building on our existing foundation of integration and connectivity to help labs to accelerate their adoption of gen AI and agentic AI.”
Cenevo is demonstrating agentic AI in the lab at booth #1829 during SLAS Boston, taking place February 9–11.
This article is a rework of a press release issued by Cenevo.
