Research & Insights
BiggerMind is built on a point of view. These are the ideas that guide how we research, design, and build privacy-first personal intelligence — and the questions we are still working through.
Our Perspective
These are positions, not press releases. They describe how we believe personal AI should be built — and they shape every product decision we make.
We believe the most personal intelligence should live as close to the person as possible. Keeping data on the device wherever it is technically possible reduces exposure, strengthens trust, and changes the relationship between a person and their AI — from something done to them, to something done for them.
An assistant becomes useful by remembering. That memory should belong to the person it serves — viewable, editable, pausable, and deletable. We explore how user-owned memory can make AI genuinely helpful without turning a life into a dataset owned by someone else.
Helpfulness and control are not opposites. We study how permission-based intelligence — where the user explicitly decides what an assistant can access, remember, suggest, and act on — can deliver real assistance while keeping people firmly in charge.
Most software adds to the noise of modern life. We are interested in the opposite: AI that quietly reduces cognitive load, surfaces what matters at the right moment, and stays silent when it should — calm intelligence rather than another demanding inbox.
Personal AI touches health, money, identity, and family. We think carefully about where assistance ends and human judgement must take over — human confirmation for sensitive actions, explainable suggestions where possible, and clear limits around professional advice.
A business model shapes a product's soul. We explore how to build sustainable personal AI without selling personal data or relying on surveillance — designing products that support people rather than mine them.
What We Are Exploring
How a private assistant can understand context, intent, and priorities without overreaching.
On-device processing, encryption where appropriate, and cloud-minimised design patterns.
Making suggestions understandable, bounded, and accountable to the people they affect.
Collaborate
We work with researchers, partners, and builders who share our belief that AI should serve people first. If that is you, we would like to hear from you.