Verifiable Science
Commercial products built on transparent, peer-reviewed research — transforming uncertainty into defensible intelligence for critical decisions.
From Academic Excellence to Market Leadership
Spatialyte's foundation combines deep academic expertise, proven market validation, and mastery of scalable technologies — creating distinct competitive advantages through three core pillars.
Verifiable Scientific Rigor
Our models aren't black boxes. They're built on methodologies rigorously tested and published in leading scientific journals with transparent validation.
Cloud-Native Scalability
Leveraging Google Earth Engine and High-Performance Computing, we process petabytes of geospatial data with unprecedented efficiency and scale.
Explainable AI (XAI)
Clear, interpretable results that explain why a risk score exists. SHAP analysis transforms predictions into actionable, defensible insights.
Our Technology Stack
Built on industry-leading platforms and cutting-edge methodologies that enable planetary-scale geospatial analysis with scientific precision.
GeoAI
Advanced machine learning algorithms specifically optimized for geospatial data analysis and pattern recognition
Google Earth Engine
Planetary-scale geospatial analysis platform enabling petabyte-scale satellite data processing
High-Performance Computing
Slurm-managed HPC clusters for massive parallel data processing and model training
XGBoost & LGBM
State-of-the-art gradient boosting frameworks for maximum predictive accuracy
Beyond Prediction: Understanding the 'Why'
A significant challenge with many AI solutions is their "black box" nature. Spatialyte directly addresses this through focus on Explainable AI (XAI).
SHAP Analysis Framework
For financial institutions reporting on climate risk under TCFD framework, or insurance companies justifying premiums, understanding specific factors driving risk assessments is critical.
By employing SHAP (Shapley Additive exPlanations), we transform model outputs from unverified numbers into actionable, defensible insights that stakeholders trust and regulators can audit.
Example SHAP Output
Built on Peer-Reviewed Research
Our commercial solutions are founded on transparent, scientifically validated methodologies published in leading academic journals.
A high-resolution national-scale flood susceptibility and exposure assessment for Pakistan
Waleed, M., et al.
International Journal of Disaster Risk Reduction (2024)
Provides the framework for national-scale risk intelligence, identifying that ~95 million people (47% of population) are exposed to high flood susceptibility in Pakistan. This methodology forms the basis for our government-scale risk assessment services.
Machine learning-based spatial-temporal assessment of wetlands
Waleed, M., Sajjad, M., et al.
Ecological Informatics (2023)
Demonstrates our capability to achieve 99% accuracy in monitoring critical ecosystems using Random Forest machine learning. This research underpins our EcoTerra Metrics service for carbon credit verification and biodiversity monitoring.
Comparative assessment of machine learning models for flood susceptibility mapping
Waleed, M., et al.
Journal of Flood Risk Management (2024)
Comprehensive evaluation of 14 different machine learning algorithms for flood prediction, establishing LGBM and XGBoost as optimal choices. This research enables our algorithm selection framework for custom flood susceptibility modeling.
Assessing the impacts of urbanization on terrestrial carbon storage in Pakistan
Waleed, M., et al.
Environmental Impact Assessment Review (2023)
Quantifies a 1040% increase in urban areas and corresponding 5% decrease in carbon storage over 30 years. This temporal analysis methodology supports our ClimaScribe Analytics for urban heat assessment and carbon monitoring services.
Founded on Expert Leadership
Google Developer Expert (GDE) in Earth Engine
Certified expertise in planetary-scale geospatial analysis, ensuring our solutions leverage the most advanced cloud-native technologies available for unprecedented scale and efficiency.
Our founder's unique combination of academic rigor and technical mastery ensures that Spatialyte delivers not just data, but defensible, peer-reviewed intelligence for your most critical environmental risk decisions.
Experience Science-Backed Intelligence
Ready to leverage our peer-reviewed methodologies and transparent GeoAI solutions for your environmental risk assessment needs?