Today’s lab automation is broken because it’s stuck in the past ⌛️ It’s slow, rigid, and forces scientists to work around the software instead of the software adapting to them.

We see it every day: ❌ Workflows that break over minor errors with no way to recover ❌ Scheduling systems that can’t handle real-world complexity ❌ Automation software that locks users into rigid templates instead of solving their actual problems

If lab automation were effective, scientists would spend less time fixing it and more time running experiments. At Lab Donkey, we’re not just fixing these issues—we’re rewriting the rules.

This is what we offer: ✅ Error handling that prevents failures before they happen—and recovers when they do ✅ A scheduler built for scientific workflows, not just manufacturing-style automation ✅ An open, adaptable system that works for your lab, not the other way around

We’re done pretending that lab automation is fine the way it is. The truth? If your automation system forces you to manually override, fix, or restart it constantly, it’s not automation. It’s expensive manual work 🤷