The Platform
One intelligence layer.
Many domains.
Dalo AI is the foundational infrastructure — identity, data, and a domain intelligence engine built on a managed inference layer. Each new domain adds an application and a dataset, benefiting from the breakthrough neural interface of Dalo AI.
Architecture
Distributed architecture
Multiple verticals in an airtight micro-services structure.
Dalo Sleep
Dalo Solids
Dalo Milk Stash
Dalo HealthNext
Dalo AI - shared neural platform
Isolated per-domain deployments · EU-hosted · GDPR by design
What's Reused
Built once vs. new per domain
Built once, reused by every domain
- Identity & access layer
- Encrypted, per-user data plane
- Cross-app intelligence engine
- Managed inference & model orchestration
- EU-hosted, GDPR-by-design infrastructure
- ML pipeline & evaluation scaffolding
What's new per domain
- The app experience for that domain
- The domain-specific dataset
- Domain-tuned logic & model behaviour
How It Works
How intelligence flows
Signals in
Daily behaviour, logs, and inputs from the app.
Domain-logic & ML enrichment
Rules and models calibrated to that domain interpret the signal.
Managed inference
The shared model layer generates a personalized read of the pattern.
Next best action out
Not a chart — a specific recommendation, delivered in the app.
See the platform in the apps
Every product below runs on this same architecture.
Questions
How the platform works
What is Dalo's shared intelligence layer?
It's the foundational infrastructure Dalo builds once and reuses across every product: identity and access, an encrypted per-user data plane, a cross-app intelligence engine, managed inference and model orchestration, and EU-hosted, GDPR-by-design infrastructure. Each new domain — like parenting or gestational diabetes — adds only its own app, dataset, and domain-tuned logic on top.
Where is Dalo's infrastructure hosted?
Entirely on EU infrastructure. Every byte of data stays in Europe, and the platform is GDPR-compliant by design rather than by policy.
How does Dalo turn data into recommendations?
Daily behaviour, logs, and inputs from the app flow through domain-specific logic and ML enrichment, then through the shared managed inference layer, which produces a personalized read of the pattern and outputs a specific next-best-action in the app — not just a chart.