The earliest signs of cognitive decline show up years before a diagnosis. We're building clinical AI that helps primary care see them sooner — while there's still time to act.
By the time symptoms are unmistakable, the window for early planning, intervention, and support has already narrowed.
Dementia is often recognised only once symptoms are clear, when earlier, subtler signs were already there to be seen.
GPs are the first point of contact, but lack practical, consistent tools to assess cognitive risk early in a routine appointment.
Earlier identification opens the door to planning, lifestyle change, and treatment — and the chance to live well for longer.
Our clinical rationale rests on published, peer-reviewed evidence and national data — not assumption.
The standing Lancet Commission on Dementia Prevention, Intervention and Care identifies 14 modifiable risk factors across the life course — including education, hearing loss, hypertension, depression, traumatic brain injury and, newly added in 2024, high LDL cholesterol and untreated vision loss.
Together, the Commission estimates these account for around 45% of dementia cases worldwide — the theoretical proportion that could be prevented if every one of them were eliminated.
Figures are population-level estimates drawn from published sources and national statistics; the Lancet Commission's 45% is a population attributable fraction, not an individual risk estimate. We do not claim to prevent dementia. Our purpose is to help clinicians identify risk earlier, within routine primary care.
Our underlying approach is proprietary and not public yet, for IP and regulatory reasons. Here's how to understand what it's designed for — and how it's meant to fit a clinician's day.
Designed to support assessment inside routine primary care, rather than adding another specialist hand-off.
Looks wider than any single test, to surface risk earlier and more reliably than one measure can alone.
Built to inform a clinician's decision — not replace it — and developed toward formal medical-device standards.
Our platform was conceived, designed, and developed by our founder. The idea and the intellectual property are ours.
Our clinical rationale is built on the peer-reviewed literature, including leading journals like The Lancet.
Transparency, clinical safety, and keeping a clinician firmly in the loop are built in from the start — not bolted on later.
The platform is designed to meet UK medical-device (UKCA/MHRA) standards, and we're seeking innovation support to take it through validation and the formal pathway.
Our platform is pre-market and research-stage. We're clear about what's proven, what's in progress, and what comes next.
Everything we build rests on the BEBA Ai Responsible AI Framework™ — seven pillars that turn responsible AI from principle into daily practice, across the whole AI lifecycle.
Clear ownership of every AI decision, with traceable accountability for errors, bias, or misuse.
GDPR-compliant, consent-driven data use, with anonymisation by design and regular ethical audits.
Proactive bias testing across gender, race, and socio-economic groups, with inclusive design from the start.
Models that are explainable to users and regulators, with documented data, methods, and decisions.
Built-in security, stress-tested against adversarial and edge cases, with fail-safe recovery.
Designed to align with the EU AI Act, UK guidance, and medical regulation, with independent review as a core commitment.
Human-centred design with social value and sustainability built in, and real-world consequences monitored.
Our proprietary model — aligned with ISO/IEC 42001, IEEE 7000, and the EU AI Act.
Today, our focus is dementia and Alzheimer's. The same architecture is built to extend — across other chronic, long-term conditions, with a companion portal and support in any language. More to come.
New input channels let the platform draw on more of each consultation — and extend beyond dementia to other chronic, long-term conditions. Sensitive capabilities are consent-first and private by design.
One secure place where people and their families find their information, guidance, and support together — continuity that lasts well beyond the appointment.
Built to translate across languages worldwide, so earlier insight isn't limited by language or geography.
Elizabeth founded Beba Ai and built its core platform. She brought in Dan as CTO to lead engineering — chosen for his credentials and a vision he shares completely. Together they're taking AI in digital health further: responsible, safe, ethical, and built around the person.
For Elizabeth, dementia isn't an abstract problem to solve — it's personal. She has spent more than fifteen years immersed in dementia care, drawing on lived experience of what the condition means for the people living with it and the families beside them.
That experience shaped a single conviction: dementia should be met earlier, and always with dignity. This is a person living with dementia, never a diagnosis that defines them — and the sooner the signs are seen, the more life there is to protect.
It's also why the rigour matters. Thirty years engineering real-time, safety-critical systems — where failure isn't an option — and a Master's in AI, completed with Distinction, are what let her turn that conviction into clinical software built to be trusted.
Dan is chief technology officer of Beba Ai — an engineer with a Master's in AI and data science. Clarity™, the companion portal, is his: he leads its design and build, and engineers the data and systems foundations the platform runs on.
He builds the way Elizabeth does — meticulous, evidence-led, and exacting about the details that matter, with integrity in every decision. For Dan, innovation and responsibility aren't a trade-off: the most advanced system is the one people can trust. He shares the conviction completely — AI in digital health must be responsible, safe, and ethical by design.
Systems that matter — for people that matter.
If any of this is close to your world, we'd like to hear from you — early collaborators shape what we build.
AI for Humanity · Innovation with Integrity · Culture for Life.
Beba Ai builds responsible, applied AI for digital health. Our first platform helps primary care identify cognitive decline and dementia risk earlier — with ethics, transparency and safety at the heart of everything we build.
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