AI Ready Data Demonstration - Meeting Room Occupancy
Calendar heatmap visualization of meeting room occupancy data from Haltian IoT data for January 2026
Haltian IoT data is delivered in open, standard formats designed for direct use with modern tools — including AI assistants like ChatGPT, Claude, GitHub Copilot, and automated pipelines.
| Format | Used For | Why It’s AI-Friendly |
|---|---|---|
| Apache Parquet | Historical data (Data API) | Column-oriented, self-describing schema — AI tools read it natively |
| GraphQL | Live queries (Service API) | Typed, introspectable — AI can generate queries from natural language |
| MQTT + JSON | Real-time streams (Stream API) | Structured payloads — easy to parse, filter, and react to programmatically |
No proprietary SDKs or locked ecosystems. Load Parquet files in Python, R, DuckDB, or Power BI. Query GraphQL from any HTTP client. Subscribe to MQTT from any language.
Each demo below includes AI guidance — prompts and context you can copy into your preferred AI assistant to explore the data further, build visualizations, or generate integration code.
Explore live demonstrations showcasing various aspects of the Haltian IoT platform. Each demo works with real data and includes context for AI-assisted exploration.
Calendar heatmap visualization of meeting room occupancy data from Haltian IoT data for January 2026
Multi-metric heatmap showing CO₂, TVOC, and temperature patterns from a Thingsee AIR sensor
Interactive device explorer using the Haltian IoT Service API — search devices, view measurements, and browse attachments
Real-time sensor data streaming via MQTT from live Haltian IoT devices
Interactive browser-based exploration of Parquet datasets showing building hierarchy, device inventory, and measurement types