Indoor Location
& Occupancy
Enhance your apps with real-time,
ML-powered spatial insights from
Kontakt.io’s cloud platform.
Interpolating multi-sourced IoT signals, Kio Cloud computes spaces and tagged objects, recording room metadata such as in-room tagged entities, locations, occupancy changes, and environmental telemetry. Instead of sorting through raw data, get the relevant and useful analysis that matters most to you.
Virtualizing buildings as a grid system of rooms and pathways, Kio Cloud APIs deliver room and workspace resolution without resorting two coordinates
Using information from access points and BLE tags & devices, Kio Cloud is designed for accuracy without requiring additional investment in network devices
Processing building data on-the-stream, generating API streams to solve your use cases through a powerful Policy Foundry
Quantifying Buildings: ML-Powered Cloud Computing
Quantifying Buildings: ML-Powered Cloud Computing
- Input IoT signals and where available location data from access points, gateways, occupancy, and other environmental sensors
- Using machine learning that continuously adjusts to changing building circumstances, the cloud evaluates the conditions and locations of people, things and rooms
- Location and occupancy engine parameters can be adjusted by administrators to optimize for a broad range of use cases
Policy Foundry & Event Stream APIs
Policy Foundry & Event Stream APIs
- Applications should not have to sort through a firehose of transactions to extract the event that impacts the enterprise’s purpose
- Policies are elastically generated micro services, evaluating specific conditions defined by users or provided ready-made
- When policies “trigger,” they call on actions, also customizable by users. Actions may include user notifications, API event publishing, or other triggers provided by the system
