Real-Time & Mobile Experiences
Use the same AI platform as a backend for live geospatial, charting and mobile experiences.
Interactive platform map
Architecture in context
The focused blueprint, its required foundation, and declared recommendations.
Real-Time & Mobile Experiences
Use the same AI platform as a backend for live geospatial, charting and mobile experiences.
What this replaces
AI capabilities are often trapped inside chat, while real business workflows need live data streams and purpose-built web/mobile interfaces.
What your team gains
Reusable platform APIs can power real-time visual applications and universal mobile clients without rebuilding identity, AI, knowledge or observability.
What is inside the blueprint
How it fits the platform
Live feeds and platform APIs -> backend relay/services -> web/3D/chart/mobile frontends -> same identity, AI gateway, knowledge and operations layers.
ais-relay, worldview-dev (production hardening required), atlas-charts, journey-tracker, nginx, expo-dev (down by choice), Traefik, Authentik, platform APIs
- AICORTEX Core PlatformLive data services and static frontends are Core-managed and Core-routed.
From prerequisites to operation
- Authorized data feed or app use case
- Frontend/mobile codebase
- Production API/auth design
- Normalize backend API
- Protect routes with platform identity
- Build web/mobile interface
- Use Expo/EAS or self-hosted build path
- Instrument telemetry
- Feed credentials
- Refresh rates
- Client feature flags
- Auth flows
- API endpoints
- Build profiles
- Feed resiliency
- Frontend production hardening
- App release lifecycle
- API compatibility
- Client security
What this unlocks with other layers
Multi-Channel Intelligence
The intelligence layer is reusable across interfaces rather than tied to one chat surface.