Glassfloor designs the training, curriculum, and partnerships that prepare organizations to operate automated lab systems at scale.
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Glassfloor builds what's missing.
Lab automation is advancing faster than the workforce trained to run it. Organizations invest in robotics, liquid handlers, and AI-driven systems — then discover that the limiting factor isn't the technology. It's the people.
Training infrastructure hasn't kept pace. Curriculum is scarce, educators with hands-on automation experience are rare, and the institutional partnerships needed to build pipelines don't exist yet. The result: expensive equipment underutilized, adoption stalled, and a widening gap between what automation can do and what organizations can actually deliver.
Scope and pricing are defined per-project, based on what your team already has and what it still needs.
No program yet.
A plan for the program that can be funded and defended: who it trains, to do what, in what sequence, and at what cost.
Can include
Can be scoped with discovery.
A plan, but no program.
The program built, piloted, and handed over, with your own instructors trained to teach it.
Can include
Can be scoped with discovery.
A program the instruments have outgrown.
An existing program brought current with the instruments, methods, and software it now has to cover.
Can include
Can be scoped with discovery.
Glassfloor partners with biotech, academia, and federal initiatives.
Glassfloor works with organizations at the forefront of lab automation adoption: biotech and pharmaceutical companies building internal training programs, research institutions developing hands-on automation curriculum, industry associations designing professional development for their members, and federally-funded initiatives building the next generation of scientific workforce infrastructure.
What they share: significant investment in automation technology, and a recognition that the workforce to run it doesn't yet exist at the scale they need.
Work
Defining the standards. Training the workforce.
Kennedy McDaniel Bae founded Glassfloor in 2024. Trained as a biologist, she built her career at the intersection of biology, hardware, and software, always drawn to technology with the potential to lower the barriers to scientific innovation and impact. She writes about her broader philosophy of biology, and how automation fits into that, at BioOptimist.
The problem became clear early. Automation can only deliver on that potential when the people operating it actually know how to use it, and most don't. Too few training pathways exist, too few educators have hands-on experience with the systems, and the gap between where automation technology is and where the workforce is keeps widening.
Glassfloor is the response to that gap.
Before founding Glassfloor, Kennedy designed and launched Opentrons for Education at Opentrons Labworks. Since then, Glassfloor's work has included developing the workforce and training strategy for CUNY's AI-BIOME program (an $18.1M NSF-funded initiative building AI-powered lab automation infrastructure), co-developing and co-teaching the SLAS Liquid Handling Bootcamp, and leading development of the first Global Automated Science Education Guidelines, funded by the Alfred P. Sloan Foundation and hosted by SLAS. Across these engagements, Glassfloor has reached more than 5,500 students, 38+ educator partners, and 20+ organizations worldwide.
Speaking
Upcoming
PCLNet Summit
Connecting People & Platforms: Addressing the Automation Talent Gap and Architecting a New Scientific Workforce
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If your organization is ready to close the gap between its automation investment and its workforce capability, the first step is a conversation.
