About Bower
Science that scales.
Scientific progress depends on people. Their expertise, judgment and practical know-how develop over years, yet much of that knowledge is difficult to capture, share and reproduce. We founded Bower to change that.
A future where scientific expertise compounds.
Science has transformed how we understand the world, but the way scientific work is learned, documented and transferred has barely changed. Expertise still moves through observation, documents, meetings and travel, and critical context is often lost along the way.
Augmented intelligence changes that. Technology can now capture expertise as work happens and make it available wherever it is needed.
We see a future where every scientist can build on the knowledge of those before them, expertise moves freely between people and places, and scientific work becomes easier to reproduce as knowledge accumulates.
Built by scientists and technologists.
Geochemist and paleontologist who has run research labs for over 15 years, with 100+ peer-reviewed papers across isotope geochemistry, geochronology and human evolution research.
Product leader who has built zero-to-one products at Microsoft, Google and Dovetail, bringing a user research discipline to building software for scientists.
Senior engineering leader from Atlassian with deep expertise in collaborative tools at scale, and the technical rigor to make Bower fast, reliable and secure enough for critical research data.
Building for science requires understanding the work itself.
Bower brings together scientists, product leaders and engineers with experience across research, technology and complex systems.
Our team has worked in scientific research and built products at companies including Google, Microsoft, Atlassian, Amazon and Dovetail. We understand both sides of the challenge: how scientific work actually happens, and how to build technology that helps teams capture, transfer and reproduce it.
The principles behind science that scales.
Start with the scientist.
People first
Technology should make scientists more capable, not replace them. We build around the people doing the work so they can focus on what matters.
Expertise should compound.
Knowledge that accumulates
Every experiment creates knowledge. That knowledge should become part of an organisation’s collective capability, not disappear into notebooks or memory.
Evidence matters.
Context, not just outcome
Understanding a result means understanding how it was produced. Scientific records should preserve the context behind the work, not just the outcome.
Reproducibility enables scale.
Work others can build on
Scientific work becomes more valuable when others can reproduce it. Preserving execution know-how helps methods move between scientists, teams and sites.
Progress deserves urgency.
Test assumptions, move quickly
The faster scientific discoveries move into real-world use, the greater their potential impact. We move quickly, test assumptions and build toward that goal.
Build the future of scientific work with us.
We’re bringing together scientists, engineers, designers and operators to make scientific expertise easier to capture, transfer and build on.
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