We’re building a research-based wellbeing app for busy lives. The kind where plans change, energy dips, and you don’t have time to read 40 studies before deciding what to try.
Our job is to do that work, translate it clearly, then keep improving the system as evidence and real-world learning evolves.
Bearmore brings three essentials together:
Research: What the evidence suggests
Application: How to apply it in real life
Tech: The system that makes it usable
We built Bearmore because we were tired of:
Health trackers without usable guidance
Books and podcasts without tools to implement
Wellness apps without clear grounding in evidence
We start with credible sources and established frameworks, then prioritise research that’s methodologically strong and relevant to real-world behaviour.
We separate what the evidence suggests from what we’ve chosen as a product decision. When the evidence is strong we’ll say so; when it’s patchy, we’ll say that too.
We don’t just read research, we test and share what we’re learning in the wild. Next, we’re expanding this open learning loop into more reports and collaboration-friendly datasets.
We begin with the change someone actually wants — then help them turn it into a realistic approach for their life.
We assume interruptions will happen. The product should make “back on track” straightforward, not dramatic — because momentum is built through consistency, not perfect streaks.
Over time, Bearmore will increasingly adapt guidance and insights based on what someone chooses, completes, and reflects on.
We’ve focused on secure, scalable foundations that let Bearmore iterate quickly. Systems that can be updated and improved while keeping the experience stable and clear.
The hard part is turning messy, multi-variable wellbeing realities into visuals that feel obvious in seconds. This way users can understand what’s happening without needing a research degree.
We use AI to speed up analysis, content production, and iteration The goal isn’t speed for its own sake; it’s building faster without lowering standards. Everything we put into the world has had human quality control.
Bearmore is built by a cross-functional team across research, product, engineering and content. These disciplines are supported by an ongoing group of specialists who contribute on full and part-time basis.
The work isn’t siloed: research shapes what we include, application shapes how it lands in real life, and tech shapes how it scales without losing clarity.
Right now, our biggest focus is distribution through content collaborations. Partners who help get clear, responsible wellbeing guidance in front of more people.
What we’re keen to explore
- Co-authored articles, newsletter series, podcast segments, and creator partnerships
- Data-led stories with clear limits and no hype
- Practical explainers that help people act, not just consume
- Distribution partnerships with platforms and communities that already have trust
What we won’t do
- Supplement partnerships
- “Proprietary” activities dressed up as secret sauce
- Anything that needs us to overclaim, blur evidence, or imply we replace proper medical care
If you reach busy adults and care about clarity over hype, we’ll probably get along!
