Building preventive care for Africans

We combine deep contextual data with adaptive technology to turn everyday patterns into smarter, kinder health support. Our platform has two tightly-linked parts: an intelligence core that learns from context, and an app that turns that insight into everyday support.

  • Our intelligent 3-layer stack

    Our research engine maps how Africans live, learns behaviour over time, and gives those insights a respectful voice.

    • Bantu Atlas: captures culture, daily rhythms, and environment
    • Pattern Ops: Detects change and rolls back care in real time.
    • Asabe: Communicates in context through our AI assistant, guiding both users and our internal clinical team.
    LEARN MORE 
  • Attempts

    A health platform that learns your patterns, then helps you plan meals, craft flexible fitness routines, track symptoms, build history, and stay on top of your body.

    • We start with a human consultation to understand you.
    • Next, we design a personalised care plan
    • We help you build and store your health history.
    • We monitor your progress and adapt as you grow.

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Why Context Matters in African Health

Generic data can’t predict real behaviour; care built on that data misses the mark.

  • 70 % of African urban workers skip at least one daily meal due to schedule.
  • 60 % cite cultural beliefs as first line of care.
  • Only 8 % of global health datasets include sub-Saharan behavioural inputs.
  • higher adherence when recommendations match lifestyle, not guidelines.

See the Research

Our Principles

Everything we build returns to three convictions that keep care personal, adaptive, and achievable.

  • Personal

    Health must start with the person. We design for Ada in Lagos, not a ‘user persona.’ Context - beliefs, time, budget, guides every decision.

  • Patterned

    Long-term patterns beat one-off snapshots. We observe weeks, we spot triggers, growth, and friction, so care can adjust instead of judge.

  • Possible

    Care must feel achievable.
    If a plan ignores schedule, energy or cost, it fails. We meet people where they are, then expand capacity step by step.

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Join us - researchers, clinicians, and builders

We’re building a cross-disciplinary team to map lived patterns and turn them into preventive care that fits African life.

If you’re a researcher, nurse, doctor, data analyst, psychologist, sociologist, or a driven student, we want you. You’ll co-design studies, run field pilots, analyse Bantu Atlas signals, shape Pattern Ops logic, and help bring insight to life in Attempts, while co-authoring papers and briefs with us.

Benefits and rewards include authorship credit, stipends for approved pilots, access to anonymised datasets, cross-disciplinary mentorship, flexible work, and recognition in public reports and product.

See Open Roles

FAQS

What is Salty Raisins ?

A health intelligence company building contextual, preventive care for Africans.

What’s your current focus?

Bantu Atlas - our living research engine. Everything else (Pattern Ops, Asabe, Attempts) is being shaped around it.

What is Bantu Atlas?

A dataset that maps culture, daily rhythms, emotion, and environment so every health recommendation is grounded in real life.

What is Pattern Ops?

An adaptive layer that detects meaningful change and adjusts, or rolls back care in real time without shame.

Who is Asabe?

A companion app that turns our intelligence into everyday support. Chatting with her actually helps cause she learns about you from every info you give her.

How do you handle data and privacy?

Ethically and minimally. Data is anonymised, governed, and never sold. We collect only what improves care.

Are you replacing clinicians?

No. We support clinicians with context and summaries; humans make clinical decisions.

How can partners or researchers work with you?

Collaborate on Bantu Atlas studies, field pilots, and papers. See "Research" and “Partnerships” for criteria and a quick brief for individuals and businesses respectively.

Where are you starting?

With African contexts first, expanding as our research layers mature. Nigeria is our Pilot Region