My AICORTEX (1)
Marketplace
LIVE EXAMPLEApplications / interfaces

Real-Time & Mobile Experiences

Use the same AI platform as a backend for live geospatial, charting and mobile experiences.

Review my build
Working vertical examples (AIS relay, WorldView, Atlas Charts, Journey Tracker) run in the census; the reusable blueprint abstracts them. The mobile app framework dev environment is intentionally offline by choice.
Live workload cutawayArchitecture in context
Real-Time & Mobile Experiences
FoundationAICORTEX Core PlatformConnectedVoice & Multimodal ExperienceConnectedAI Platform-as-a-ServiceConnectedAI Operations Center
Signal path active8 deployment units

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

Persistent WebSocket data ingestion
Normalized live APIs
3D/geospatial visualization
Trading/operational chart rendering
Timeline interfaces backed by graph context
Static web experiences via the web server
Universal Android/iOS/web development
File-based routing and native SDK ecosystem
Managed build/submit/update/hosting workflow options
Internal distribution and app-store build pipelines
Shared authentication, AI gateway and AICORTEX backend APIs

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.

Included services

ais-relay, worldview-dev (production hardening required), atlas-charts, journey-tracker, Web server, mobile-dev (down by choice), Reverse proxy, Authentication, platform APIs

Platform requirements

From prerequisites to operation

Prerequisites
  1. Authorized data feed or app use case
  2. Frontend/mobile codebase
  3. Production API/auth design
Deployment
  1. Normalize backend API
  2. Protect routes with platform identity
  3. Build web/mobile interface
  4. Use the framework's managed build service or a self-hosted build path
  5. Instrument telemetry
Configuration
  1. Feed credentials
  2. Refresh rates
  3. Client feature flags
  4. Auth flows
  5. API endpoints
  6. Build profiles
Operations
  1. Feed resiliency
  2. Frontend production hardening
  3. App release lifecycle
  4. API compatibility
  5. Client security

What this unlocks with other layers

Private AI Workspace + Voice & Multimodal Experience + Real-Time & Mobile Experiences

Multi-Channel Intelligence

The intelligence layer is reusable across interfaces rather than tied to one chat surface.

Technology behind this capability

AuthenticationReverse proxyWeb serverMobile app frameworkVessel data relayAICORTEX nativeWorldView globeAICORTEX nativeTrading chartsAICORTEX nativeJourney trackerAICORTEX native
Browse Marketplace
Interfaces

Voice & Multimodal Experience

Add local/private and premium cloud speech plus richer multimodal interaction to the same AI workspace.

Interfaces
Business Platform

AI Platform-as-a-Service

Operate governed AI capabilities for multiple users, teams or customers from one controlled platform.

Business Platform
Operations

AI Operations Center

Bring metrics, logs, traces and platform health into one operating picture.

Operations