Geospatial Engineering With AI
Building location intelligence has always required a cross-functional approach. Now, Janea Systems - a Cesium-certified consultancy - combines proven track records in geospatial and machine learning to deliver AI-driven, business-critical results.
Why Engineering Leaders Choose Janea Systems
Engineering leaders trust Janea Systems when their geospatial platform's performance and scalability are non-negotiable. Our veteran engineers don't just build maps: they architect entire geospatial ecosystems, making deep technical decisions and navigating "grey-area" challenges around massive data processing, real-time streaming, and cross-platform compatibility.
The Challenges of Geospatial Technology
Geospatial applications crunch massive amounts of multimodal data against an ever-chaning environment. AI complicates this even further.
Data Processing & Pipeline Performance
Processing massive geospatial datasets in real-time requires specialized streaming architectures and ML inference pipelines that most teams lack the expertise to build and optimize effectively.
SDK Development & Native Integration
Building location-aware applications across iOS, Android, and web platforms demands deep platform-specific expertise and the ability to maintain feature parity while optimizing for each ecosystem's unique constraints.
Mapping Performance & Scalability
Delivering sub-second map rendering and location queries at enterprise scale requires specialized knowledge of spatial indexing, tile serving architectures, and distributed caching strategies.
Model Training & Inference Bottlenecks
Your geocoding, routing, and spatial analytics models suffer from training inefficiencies and inference bottlenecks that require deep expertise in geospatial machine learning optimization.
Legacy GIS System Integration
Integrating modern geospatial capabilities with existing enterprise systems creates adoption barriers, requiring strategic architectural decisions to move beyond siloed mapping tools.
Location Data Ingestion & Analytics
Managing real-time location streams from millions of IoT devices demands specialized data engineering expertise in geospatial time-series processing and location intelligence extraction.
Our Approach to Geospatial Engineering Services
Janea Systems' experts tackle location-aware challenges by eliminating risk and accelerating roadmaps.
High-Performance Data Processing
We architect and implement optimized data pipelines for massive geospatial datasets, delivering performance improvements through ML inference optimization.
Cross-Platform SDK Development
We deliver expert cross-platform geospatial SDK development, enabling seamless location-aware experiences across platforms with full feature parity and platform-optimized performance.
Performance Improvement
We architect comprehensive geospatial optimization solutions, using open source technologies to enhance end-to-end mapping performance with optimized tile serving, backend refinement, and UX improvements.
ML Model Optimization
We provide elite ML engineering for geospatial models, optimizing training pipelines for faster runs and implementing automated error correction systems for improved geocoding accuracy.
Enterprise-Grade GIS Integration
As a Cesium-certified provider, we turn raw geospatial data into live, interactive experiences running on Cesium self-hosted infrastructure that you own and control.
Real-Time IoT Location Analytics
We build pipelines for processing, tiling, and streaming location data in real time, across platforms and devices, including IoT applications such as drone photogrammetry.
Our Proof of Impact
Azure Maps
Expanding Azure Maps to Over a Billion iOS devices
Bing Maps QAS
50x Faster AI and 7x Faster Training: Optimizing Bing Maps’ Deep Learning
Azure Maps
Front-to-Back Geospatial Optimization with Open Source for Azure Maps
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