Beckman Coulter Life Sciences and Automata have introduced a strategic partnership that integrates Beckman Coulter Life Sciences liquid dealing with, genomic and cell evaluation applied sciences with Automata’s AI-ready automation platform to allow sooner, extra constant and extra scalable experimentation for analysis organizations.
The collaboration brings collectively Beckman Coulter Life Sciences, a world chief in laboratory automation and innovation and a subsidiary of Danaher Company, and Automata, a London-based lab automation firm modernizing how R&D laboratories design, execute and scale scientific workflows.
The partnership is a component of a bigger funding wherein Danaher Ventures will take part in Automata’s Sequence C funding spherical and be part of the corporate’s board of administrators, strengthening alignment and long-term help for joint innovation.
Joe Fox, president of Beckman Coulter Life Sciences, says: “This partnership displays our relentless concentrate on empowering scientists to translate concepts into affect sooner.
“Agentic AI is poised to rework the way in which wet-lab screening research are carried out. Partnering with Automata permits us to mix our trusted life science instruments with cutting-edge automation infrastructure that makes the lab of the long run accessible at the moment.”
The objective of the collaboration is to permit prospects to generate extra knowledge, extra reliably for better insights, sooner innovation and elevated belief in findings by:
Bettering workflow reliability, knowledge integrity and autonomous operation for AI-ready analysis environments.
Enabling scalable, related lab of the long run designs that quickly configure, deploy and increase modular work cells tuned to particular functions.
Empowering scientists with AI-driven instruments and simulated science for maximized throughput and effectivity.
The partnership integrates Beckman Coulter Life Sciences devices into Automata’s Linq automation ecosystem—a modular, scalable platform composed of clever robotics, unified scheduling software program and an agile workflow design surroundings.
Linq’s cloud-native orchestration engine permits laboratories to standardize and automate multistep experimental processes, delivering structured, high-quality datasets which can be important for AI-driven discovery and evaluation.
