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Insights, guides, and perspectives for modern research teams.
IP due diligence: what investors ask, and why most labs can’t answer cleanly
By the time diligence starts, the science has already convinced someone. The harder question is whether you can prove who did it, when, and why, from records that were never built to answer to an outsider.
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Bower raises $2M to bring ambient intelligence to the research lab
Most AI for science is built to help researchers think. Bower is building AI that works alongside them as they do science. Pioneering a category Bower calls augmented research: scientists and AI working together throughout the research process to make R&D faster, more reproducible and more effective.
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Augmented Research
Bower CEO and co-founder Michelle MacRae on augmented research: ambient intelligence that captures the work as it happens, so scientific knowledge is never lost and the scientist stays at the centre.
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The future of science is augmented, not autonomous
The industry is racing to build autonomous labs that remove the scientist, but for most research the real bottleneck is lost knowledge, and the future is augmenting researchers, not replacing them.
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Beyond the ELN: How R&D Teams Build Institutional Memory
Every R&D organization runs on two kinds of knowledge: the finished experiments captured in an ELN, and the reasoning behind them that usually never gets written down.
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The Onboarding Tax Every R&D Lab Pays
New scientists take six to twelve months to become fully productive. The bottleneck isn't protocols, it's judgment: the "why," not the "what," that almost never gets captured or shared.
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The Hidden Knowledge Bottleneck in Growing R&D Teams
Most research teams don't fail at science. They fail at the infrastructure around it, and that gap exists long before anyone notices it.
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