SusDAT offers smart systems that collect data from sensors, cameras, and APIs, processing it on-site with edge computing or in the cloud for in-depth analysis. Their platform uses data fusion and machine learning algorithms to perform image analysis, anomaly detection, and pattern recognition. This enables clients to gain actionable insights from diverse data streams.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle to effectively utilize the vast amounts of data generated from disparate sources, hindering their ability to achieve sustainability goals and optimize resource allocation. Existing systems often lack the ability to integrate and process data in real-time, leading to delayed insights and suboptimal decision-making.
Solution
SusDAT provides smart cloud systems that collect and process data from sensors, cameras, and APIs, enabling organizations to monitor, report, and react to data in real-time. The platform utilizes data fusion and machine learning algorithms to perform image analysis, anomaly detection, and pattern recognition, providing actionable insights for sustainability, energy optimization, health and safety, security, and resilience. By offering both edge and cloud computing options, SusDAT allows for flexible data processing and analysis tailored to specific needs. The system facilitates data-driven decision support, enabling companies and public organizations to work smarter with their data and achieve their sustainability objectives.
Target Audience
SusDAT's primary customers include companies and public organizations focused on sustainability, energy, health, safety, security, and resilience optimization.
Features
- Data ingestion from diverse sources including sensors, cameras, and APIs
- Edge and cloud computing options for flexible data processing
- Data fusion methods to combine data from various sources
- Machine learning algorithms for data processing, classification, and decision-making
- Image analysis for automated detection and classification
- Anomaly detection to identify unusual patterns and potential issues
- Pattern recognition to uncover trends and relationships in data
- Real-time data processing for immediate insights and response
- Predictive analytics for forecasting and risk assessment