Qont is introducing geospatial integration as a built-in capability across PRI S2 and all future models. The enhancement adds a new layer to Qont’s risk intelligence engine, enabling systems to incorporate location-based context when interpreting risk conditions. This development marks a significant advancement in portable risk intelligence.
Geospatial Layer for Contextual Risk Understanding
The new models include an integrated geospatial layer that accounts for local factors when risks are analysed. When a location is detected, the system interprets density, surrounding conditions and environment type to provide a clearer and more accurate understanding of the situation.
Added to Qont’s Engineered Risk Framework
Geospatial integration functions as an additional layer within Qont’s structured risk engine. It strengthens how the models interpret operational signals and expands the intelligence available to the system. This integration supports a major jump in engineered risk capability as Qont advances toward global portable risk intelligence.
Privacy-Aware and Non-Tracking by Design
The geospatial layer does not track users. Instead, it operates as a backend web that references localised information without monitoring personal movement. The system uses only contextual data required to refine risk understanding and maintain accuracy across environments.
Standard Capability Across All Models
Geospatial integration will be included in PRI S2 and every model that follows. The capability applies across all industries supported by Qont, allowing each system to interpret risk with stronger environmental awareness regardless of sector or use case.
Qont’s adoption of geospatial integration marks a major step forward in risk intelligence engineering, enhancing accuracy and expanding contextual understanding across its next generation of models.