News & Insights
See where DataChaperone shows up, what we’re learning in the field, and how labs are approaching automation in practice.
DataChaperone successfully completes independent graybox penetration test
An independent penetration test confirmed strong protection of our customer data against external access. This marks an important step in our continuous security improvement and our roadmap toward ISO 27001 certification.
DataChaperone partners with SciSure to deliver automated analysis directly in your ELN.
DataChaperone has entered a partnership with SciSure ELN, enabling labs to combine structured data capture in SciSure with automated analysis and reporting in DataChaperone.
Why scientific software is being rebuilt from the inside out
Lab software is shifting from tools to connected workflows. The next leap is governed analysis and interpretation that runs across your existing stack.
DataChaperone presents at AI in life sciences
At LBSP Tech Talk, our CTO shared a pragmatic roadmap to the lab of the future: pick the right tooling per use case and automate with confidence.
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 presents at RadboudUMC Investment Day
In Nijmegen we shared DataChaperone’s mission and strategy at Radboudumc Investment Day, and exchanged ideas with investors and potential partners.
Lessons from Lab of the Future 2025
Lab of the Future 2025 showed real momentum, and real caution. Integration is still the bottleneck, and transparent examples matter in regulated work.
DataChaperone presents at Lab Automation 2025
Speaking at Lab Automation 2025 on where hands-free experimentation is heading, and why scalable, traceable data analysis is the step that enables it.
biotactical partners with DataChaperone
biotactical partnered with DataChaperone to process rapid microbial test data in minutes, standardize logging, and speed up R&D without losing quality.