Human-first AI, starting with a local layer at the edge.

Whater.org helps organisations embed a reflective local layer that protects sensitive legal and business data on-device, satisfies data-residency and consent requirements by design, and still uses your best models on the market.

Partner with Whater.org →

Or follow the mission. No tracking pixels, no marketing funnel.

Layers between AI and us. Privacy at the edge. Governance on demand.

Privacy is architecture, not a policy document.

Imagine if AI can be edited, someone decides its morals, ethics and behaviour. You are the architect of your life, your health, your morals, and your AI's behaviour. LocalLayer is how you build it.

A steward, not a funnel.

To serve humanity by creating AI related tools and services that enhance people's agency. The current default for AI is “send everything to a server and trust us.” That was never good enough for us, and it should not be good enough for your AI questions, your medical records, your family's information, or anything you or your organisation has a duty to protect. We intend to build in value: your organisation's agency, and your clients' personal agency.

Those five words hold everything else together. We would rather be honest about what is unfinished than dress it up as more than it is. Collaborate with us.

What Whater.org does

His & Hers.

A citizen science initiative into the health signals of tomorrow. His signals. Her signals. Our future.

A grand mission, stated plainly: build the world's most useful, most privately governed picture of non-medical health signals, and put it to work for public research, not private profit alone. Growth comes first, contribution follows once the platform earns your trust. More soon.

Embed privacy-first AI in your organisation.

Whater.org partners with corporates, governments, and grant programmes to deploy a version of LocalLayer inside their environment. The pattern is the same in every engagement: sensitive data stays local, top-tier models still work, governance is built in, and the person at the centre, citizen, employee, patient, child, keeps control.

Start a conversation →

partner@whater.org goes to a real human, usually within one working day.

Seeking university research partners.

We are early conversations with university teams on the science behind His & Hers and the wider Whater.org research agenda. We are actively looking for academic partners in the United States and the United Kingdom who want to shape how citizen-contributed health signal data is collected, governed, and used for public research.

If you work in public health, biostatistics, data governance, or a university business development office and this sounds like your world, we would like to hear from you.

Reach out to the research team →

The current default for AI is “send everything to a server and trust us.” You know that problem of another server breach, another hacked server. All are caused by your data going to a cloud service. Through direct development, that was not good enough for us, and it is not good enough for your AI questions, personal data, medical records, family information, child-safety contexts, or anything an organisation has a client duty or regulatory duty to protect. So we are building the alternative: a local redacting, reflective layer. Our services and tools are proven in public, and we run a partner programme for the organisations that need it at scale.

An AI platform is different, expansive, globally available, accessible to the right sort of people. LocalLayer is built to give rise to tools other people can build on: engineers adding their own mark, companies setting their own standard of ethics, legal teams using our redaction service to run their own conversations with any LLM they choose. That is how you measure impact, not by what one team builds, but by how other people go on to transform with it.

For that reason, we expect people, companies, and governments to make this their own: to edit the behaviour, ethics and morals layer that governs how AI treats them, whilst we manage the AI side.

The work is led from the UK by a team with an e-Health UK national award and a Qualcomm Tricorder XPRIZE quarter-final result behind it. Delivery is supported by the mentorship of an AI-listed company head, and for our health SaaS, a shadow council of retired medical consultants who can speak freely of the health service they wish existed with AI. The partner page is the right door for corporates, governments, and grant programmes. Also all Medical Consultants, working or retired, in the US or UK, may also contact us to be considered for our councils. The newsletter is the front door for everyone else.

The body of work

One update a month.

Sometimes a paper. Sometimes a product. Always honest about what worked and what didn't.

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