We are dedicated to transforming water management through cutting-edge technology, expert consultancy, and innovative AI-driven solutions that make water systems more efficient, sustainable, and reliable.
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Transform your data into predictive models with our automated machine learning pipeline. Simply upload your data and get production-ready forecasting models.
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Complete data science toolkit with built-in MLOps, model versioning, and deployment capabilities. Perfect for teams building custom AI solutions.
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Specialized software for water management optimization, demand forecasting, and quality monitoring. Industry-specific solutions for water utilities.
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Development Approach
Developing scientific models is at the core of our approach. We base our software development process on data science methodologies, using workflow frameworks such as CRISP-DMand Shape Up. Data understanding, data preparation, modeling, evaluation, and deployment are all key steps in our workflow. Data Science is our main focus, this term encompasses AI but is much more than AI, as often AI is not always needed even if it gets you in the buzz word cool club. We are committed to leveraging it to drive innovation and efficiency in our software solutions. We are different from traditional software engineers in that we prioritize model development and data insights over traditional coding practices built on top of established frameworks and methodologies.
MLOps Pipeline
Our MLOps approach ensures seamless deployment and monitoring of machine learning models in production environments. We implement continuous integration and continuous deployment (CI/CD) for ML models, with automated testing, version control, and performance monitoring throughout the entire machine learning lifecycle. From data ingestion and model training to deployment and monitoring, our MLOps framework provides:
- Automated model training and validation pipelines
- Model versioning and experiment tracking
- Continuous monitoring and drift detection
- Scalable deployment with containerization
- A/B testing and gradual rollout capabilities
This ensures that our models maintain high performance and reliability in production, while enabling rapid iteration and improvement of AI solutions. Discover our MLOps Framework
Shape Up Methodology
We follow the Shape Up methodology developed by Basecamp for our product development and project management approach. Unlike traditional Agile or Scrum, Shape Up gives us structured flexibility with 6-week cycles, deliberate cool-down periods, and a focus on solving real problems rather than just shipping features. Our Shape Up implementation includes:
- 6-week development cycles with clear boundaries
- Circuit breaker approach - no projects run indefinitely
- Small teams with full autonomy and responsibility
- Problem-first thinking before solution design
- Cool-down periods for bug fixes and exploration
- Appetite-based planning rather than estimation
This methodology ensures we build the right things while maintaining development velocity and team satisfaction. We shape problems properly before committing to solutions, avoiding the endless feature factory trap. Learn more about Shape Up
