Bower raises $2M to bring ambient intelligence to the lab

Bower, a Gold Coast startup, raised AUD $2 million in pre-seed funding to build AI that captures and structures scientific work at the bench. The company is targeting labs that still rely on notebooks, spreadsheets and tribal knowledge, where lost context slows reproducibility and technology transfer.

Why it matters: - Bower is aiming at a major bottleneck in science: most lab knowledge is still captured in notebooks, shared drives or researchers’ heads. - The company is pitching a system that can preserve experimental context as it happens, which could improve reproducibility, handoffs and the speed of scientific work. - The opportunity is large because Bower is building for human-led labs, not only for autonomous or machine-native research setups.

What happened: - Bower raised AUD $2 million in a pre-seed round. - TEN13 led the round. - Admiralty Capital Group and Edale Capital also participated. - Angel investors included Yu Liu, CTO of Heidi Health, Dean Kelly, Harry Uffindell and Emma Ferrier. - Bernhard Hans Weigl joined as a strategic advisor. - The company is based on the Gold Coast in Queensland, Australia.

The details: - Bower describes its product category as augmented research. - The platform uses ambient intelligence across the research lifecycle. - Smart glasses and other interfaces allow the system to observe experiments as scientists work. - Bower captures observations, decisions and documentation without pulling researchers out of their workflow. - The output becomes structured, searchable organisational knowledge that can be used by scientists and AI. - Bower can also surface relevant past work, guide procedures, answer questions and help researchers run experiments consistently. - The company calls this feedback loop the augmented scientist, where AI handles the surrounding work while the researcher stays in control of scientific judgment. - Bower says the system is meant to complement existing lab environments that still rely on paper notebooks, spreadsheets and dispersed information. - The company says this approach differs from autonomous labs, which work best when research is machine-native from the start. - Renaud Joannes-Boyau, Bower co-founder and chief science officer, said better capture and structure of scientific knowledge could change the rate at which science progresses. - Michelle MacRae, Bower’s CEO and co-founder, previously worked at Microsoft as principal AI product manager leading AI generative video. - MacRae also previously built AI Analysis at Dovetail and launched Task Mate at Google across Kenya, India and Mexico. - David Lyon, Bower’s CTO, was an engineering leader at Atlassian and worked on Teamwork Graph. - James Boysons, Bower’s CRO, previously co-founded EQL and led revenue from inception as the business scaled globally. - Bower’s team also includes scientific expertise from Joannes-Boyau’s research background and lab leadership experience.

Between the lines: - The raise reflects investor interest in applied AI that solves workflow problems, not just model-building. - TEN13 Managing Partner Stew Glynn framed the pitch around capturing what happens at the bench, not asking clinicians or researchers to type everything later. - Glynn also argued that the biggest constraint is upstream data capture, because most lab work never reaches the next researcher, model or paper. - Bower’s message is that AI’s value in science depends on better input data, not only better reasoning.

What’s next: - Bower will work over the next six months toward a PPE-certified wearables partnership with its design partners. - The company then plans to scale the product over the following six months. - Early customers already include Mount Sinai Hospital in New York City, Mass Affinity, Bloodless Diagnostics and Southern Cross University. - Bower also shared company updates on LinkedIn.

The bottom line: - Bower is betting that the next big AI gain in science comes from capturing lab work as it happens, not reconstructing it after the fact.