
2. Cloud Infrastructure
Advanced AI and machine learning models predict future temperature trends, allowing users to proactively plan and implement their heat mitigation strategies. These predictive capabilities support resilience planning, energy optimization, and disaster preparedness.




1. Machine Learning
The cloud-based nature of our products allows for both accessibility and scalability. We’re able to easily integrate new data sources, service users, and quickly adapt to any market needs without needing contractors or expansive physical infrastructure like our competitors.
3. Data Ingestion
Seamless integration with numerous data streams means our products are always updating in real time so that we can provide users with the most up-to-date analytics and insights.
Technology
4. Robust User Security
We have implemented robust encryption for data in transit and at rest, putting in place security features for cloud storage and strict access controls. These measure ensure that user privacy and safety are constantly protected and that we meet the highest standard of data protection requirements.
Our Technology
Temperature Operating System "tOS"
The backbone powering our solutions is our proprietary Temperature Operating System “tOS”. This comprehensive, integrated system leverages AI to revolutionize urban temperature analysis, facilitating interaction across various applications. It's a transformative approach to temperature intelligence, providing a robust platform for various temperature-related applications and uses.
Value Proposition
The FortyGuard Difference
Real time urban temperature data at your fingertips. Proactively plan and make key decisions for your stakeholders with the most advanced analytics and insights on the market.
1. Granularity
FortyGuard’s Temperature Operating System "tOS" sets a new standard in environmental analysis with its exceptional approach to capturing outdoor temperatures. Our platform is distinguished by its unparalleled spatial resolution capabilities, which range from 0.0001 to 0.001 degrees in horizontal measurements. In terms of vertical accuracy, our tOS demonstrates remarkable precision, offering ground-level altitude accuracy between 0.5 and 10 meters. This level of detail in spatial resolution significantly surpasses the industry standard, positioning our tOS at the forefront of the market.

2. Data Diversity and Quality
We harness the power of collaboration by working closely with various third-party partners. This collaboration enables us to access a diverse range of data sources, further enriching the quality of our temperature and other data. Our commitment to diversity in data sources underpins the robustness and comprehensiveness of our analytics.
The retrieved data from the data providers goes through a rigorous system of quality processing techniques by making sure it is cleaned and processed before it is used in our platform for analytics and insights. Following are some of the different preprocessing techniques and checks applied on this data
Data Source Diversity
Our Temperature Operating System "tOS" performs a range of validation and quality checks. These checks encompass range checking, consistency checking, time series analysis, and cross-validation with other data sets. Such thorough vetting processes are crucial to maintaining the integrity and reliability of the data we collect.
Cleaning Outliers
To enhance the accuracy of our analytics and insights, we apply various techniques to detect and remove outliers. These techniques are a blend of statistical and domain-specific thresholds, specifically designed to filter out anomalies and maintain data consistency.
Data Transformation
The transformation process is a crucial step in preparing our data for analysis. This involves converting data from its original format into a format that is more suitable for analysis, storage, or further processing. Such transformations include standardizing units and scales, ensuring consistency in data handling, and improving data quality and usability.