Close the Loop Between Data and Action

Absolutely. You decide the level of automation: run hands-free or keep a human in the loop for review and approval.

Yes. UniteLabs integrates with your existing systems, so you can kick off executions from your ELN, LIMS, or custom dashboards.

Your workflows are written in Python, built on open standards, and owned entirely by you. There's no proprietary runtime, no black box, and no automation that only works inside our ecosystem. Whatever happens, your code stays yours.

Definitely. Workflows can interact with databases, DoE tools, messaging apps - anything that makes your lab smarter can become nodes in your optimization loop

Any that your setup can measure - temperature, volume, timing, you name it. If your instruments can tweak it, we can optimize it.

Yes. Bring your own optimization algorithm - Bayesian, grid search, neural nets. It's Python, so the lab fits your stack.

Wherever you want it! Store results in your LIMS, database, or export to your favorite data tools.

Nope. We go deeper than static worklists - our platform enables real-time, fully programmable control.

A Python loop tells your instruments what to do. Closed-loop automation handles everything that makes it work reliably in the real world: bidirectional device control, structured data capture with full experimental context, error recovery when something fails mid-run, and the infrastructure to feed results back into your algorithm and trigger the next cycle — automatically, at scale. The logic is the easy part; the hard part is the plumbing that connects hypothesis to execution to result without manual intervention at every step.

UniteLabs provides that plumbing out of the box. Instead of stitching together custom scripts, file exports, and fragile integrations, you get a single environment where your optimization algorithm, your instruments, and your data all speak the same language — so you can focus on the science, not the glue code.