UniteLabs has presented its Operating System at SLAS2026, promising to unlock AI-ready lab automation. 

The Operating System replaces vendor-specific instruments and software with an open, Python-based infrastructure, giving lab automation engineers and scientists full control and transparency over their workflows. Use cases at launch included liquid handling and closed loop automation. 

UniteLabs intends to address market limitations by offering an open automation infrastructure that connects to any instrument, LIMS, scheduler, or application.

“UniteLabs was born from the frustrating reality that proprietary black boxes were dictating what was scientifically possible,” said Lukas Bromig, Co-Founder of UniteLabs.  

“Our team draws on scientific expertise and best practices from software engineering to create a platform where all automation is expressed in pure Python. This means AI models gain full visibility into, and control over, every step of the process.  

“We are fundamentally shifting automation from isolated, vendor-locked hardware to an integrated, programmable scientific infrastructure that can keep pace with groundbreaking research – and deploys in weeks.” 

“The current industry standard for lab automation is built around vendor lock-in, forcing customers into costly, months-long training cycles,” added Robert Zechlin, UniteLabs Co-Founder. 

“UniteLabs is changing the unit economics of automation. We’ve proven that our unified, Python-based approach delivers robust communication within a scalable, productised infrastructure. It cuts the cost of in-house integration efforts, minimises downtime, and enables teams of automation engineers to focus on applications and delivering value to scientists, rather than getting bogged down in repetitive fixes.  

“We deliver an enterprise-grade service that dramatically lowers the barrier to entry while future-proofing labs for the age of AI.”