About Spatium
Spatium is a parking revenue intelligence platform. It connects with existing parking systems, including sensors, barriers, and payment hardware, to provide unified monitoring, control, and analytics.
Spatium is a cloud-native business intelligence platform for the parking industry. It acts as an intelligent layer on top of existing hardware, integrating with various parking management systems, sensors, and payment providers. The core function is to unify fragmented operational data into a single dashboard for monitoring, control, and optimization. Key capabilities include real-time equipment health monitoring, occupancy tracking, revenue leakage detection, and dynamic pricing recommendations. The platform is hardware-agnostic, meaning it does not require operators to replace their current infrastructure. It is aimed at both private operators (garages, airports, shopping centers) and municipalities managing on-street parking. Pricing is not publicly listed and requires a sales inquiry. The platform is SOC 2 Type II certified.
Pros & Cons
- Integrates with existing hardware, avoiding costly rip-and-replace projects.
- Provides a unified dashboard for monitoring multi-vendor parking systems.
- Uses data analytics to identify revenue leakage and suggest dynamic pricing.
- Supports industry standards like APDS for better data interoperability.
- Independently audited and SOC 2 Type II certified for security.
- Pricing is not publicly available and requires contacting the sales team.
- The platform is a software layer and relies on the quality of existing hardware for data accuracy.
Features
Key features
Centralize monitoring and remote control of parking equipment like barriers, meters, and sensors from a single dashboard.
Utilizes real-time and historical data to understand parking patterns, predict demand, and guide drivers to available spaces.
Identifies revenue leakage through anomaly detection and provides dynamic pricing recommendations based on demand patterns.
Connects with existing parking infrastructure, including various sensor types and payment systems, without requiring hardware replacement.
Provides configurable KPI dashboards for different user roles and sends real-time alerts for revenue-impacting events.
Additional features
Normalizes data from various detection sources like in-ground sensors, AI cameras, and LPR into a unified occupancy model.
Feeds real-time occupancy data into variable message signs (VMS) and mobile parking apps.
Cross-references transaction data with sensor data to identify unpaid exits, tariff discrepancies, and other revenue losses.
Predicts parking demand for seasonal and event-driven capacity planning.
Allows operators to compare revenue and performance against comparable facilities.
Generates scheduled and on-demand reports in various formats (PDF, CSV, API).
Independently audited for security, availability, and confidentiality.
Supports the Alliance for Parking Data Standards (APDS) for data interoperability with city platforms and third-party apps.
Pricing
Countries & Languages
Interface languages
Billing currencies
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About Spatium
Spatium is a parking revenue intelligence platform. It connects with existing parking systems, including sensors, barriers, and payment hardware, to provide unified monitoring, control, and analytics.
Spatium Details
Spatium's In-App Market Place
Does Spatium have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Mini Apps
Pricing Options
Accepted Payment Currencies
USD, EUR
Pros & Cons
- Integrates with existing hardware, avoiding costly rip-and-replace projects.
- Provides a unified dashboard for monitoring multi-vendor parking systems.
- Uses data analytics to identify revenue leakage and suggest dynamic pricing.
- Supports industry standards like APDS for better data interoperability.
- Independently audited and SOC 2 Type II certified for security.
- Pricing is not publicly available and requires contacting the sales team.
- The platform is a software layer and relies on the quality of existing hardware for data accuracy.
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