Locational provides a cloud‑based platform that consolidates real‑time geospatial data from IoT sensors, mobile apps, and enterprise systems into a unified, searchable repository. The service normalizes and enriches location signals, offers APIs and a visualization studio for spatial queries, geofencing alerts, and heatmap analytics, and scales on a pay‑as‑you‑go cloud infrastructure for logistics, field service, and other asset‑tracking use cases.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses lack a unified way to capture and analyze location-based data across multiple devices and platforms, leading to fragmented insights and inefficient decision‑making.
Solution
Locational offers a cloud‑based platform that aggregates real‑time geospatial data from IoT sensors, mobile apps, and enterprise systems into a single, searchable repository. The service normalizes disparate data formats, enriches them with contextual information such as maps and demographic layers, and provides APIs for seamless integration with existing analytics tools. Users can create custom dashboards, set geofencing alerts, and run spatial queries without managing infrastructure. The platform’s scalable architecture supports high‑volume data streams while maintaining low latency for time‑critical applications.
Target Audience
Target customers include logistics firms, field service providers, and enterprises that need to monitor assets, personnel, or consumer movement across geographic regions.
Features
- Unified ingestion pipeline for GPS, BLE, Wi‑Fi, and cellular location signals
- Automatic data cleaning, coordinate transformation, and enrichment with map tiles and POI data
- Real‑time geofencing engine with configurable trigger actions and webhook notifications
- RESTful and GraphQL APIs for querying historical and live location datasets
- Built‑in visualization studio with heatmaps, route playback, and clustering options
- Scalable cloud infrastructure with pay‑as‑you‑go pricing and SLA-backed uptime