DataChaperone receives MIT grant to support ambitious automation

New grant support to push lab automation further. Fewer manual steps means less risk, more reproducibility, and workflows ready for AI-driven insight.
DataChaperone receives MIT grant to support ambitious automation.

DataChaperone has been awarded an Netherlands Enterprise Agency subsidy to explore ambitious automation in the life sciences. 
 
Every manual step in a lab process introduces risk. Errors, bias, and inconsistencies make it harder to control quality — and nearly impossible to scale. 
 
With this project, we’re pushing towards a future where experiments are: 
 
– more reliable thanks to automated monitoring and error handling 
– more reproducible through fully traceable workflows 
– ready for the next step — whether that’s AI-driven insight discovery or fitting seamlessly into your lab’s data and growth ambitions 
 
This is how we see the path to truly scalable life science research! 

Start with one workflow

You don’t need a full transformation to get started.
Most teams begin with a single, high-impact workflow.
We scan it, automate it, and deliver a working result in weeks.
From there, you decide how far to scale.

Why teams start this way:
See impact quickly
Get buy-in across teams
Validate the approach with minimal risk
Free up time for higher-value work

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