Cloud infrastructure, data pipelines and machine-learning models, including deep learning on satellite imagery, for organisations working with large datasets.
Our technology practice, led by Kabindra Koirala, brings cloud computing and machine learning to environmental and business problems: storing and processing large datasets reliably, and turning them into models that people can use.
Cloud computing
- Cloud architecture, migration and cost planning
- Scalable storage and data processing pipelines
- Deployment, monitoring and security of applications
AI and machine learning
- Machine-learning models for classification, prediction and forecasting
- Deep learning on satellite imagery, for example to map water bodies, glacial lakes and land cover
- Data preparation, model evaluation and deployment as APIs
- Dashboards that put model results in front of decision-makers
Have a project in mind? Let’s talk.
Tell us about your site, data or deadline. Our team replies to every enquiry within one working day.