Services

The Pillars of Helvetia Analytics

We bring expertise for better robustness and scalability in your research ecosystem. Our team contains a diverse range of backgrounds, from modeling complex dynamical systems to genomics data. Farhad Vahdati, with a decade of experience in data analysis, data visualization, scientific writing, and scientific modeling teams up with Carlos Melian, at EAWAG (Swiss Federal Institute of Aquatic Science and Technology), who offers deep insights into evolution and ecology, as well as model design and implementation. John David Weissmann also joins our team, bringing extensive experience in software engineering and languages like C++, Python, and Linux systems. With a broad base of knowledge in statistical and experimental design consultancy, our multi-disciplinary team is perfectly equipped to take your research endeavors from conception to completion.

Innovation in Analytics: Our Data-driven Approach

Analytics is all about well known methods, yet, innovation is crucial to produce novel results. At the heart of our offering is data analytics, employing a blend of statistics, mathematical modeling, and machine learning. We work with open-source computing languages like Julia, Python, and R, ensuring reproducibility and transparency in the research life cycle. We use container-based workflows, which not only allow for easy integration and deployment on the cloud but also guarantee replicability of the results. This unique approach eliminates redundancy, maximizes efficiency, and fosters collaborative work environments. Additionally, our agent-based modeling service can simulate complex systems to analyze their patterns, providing valuable insight and helping to inform decision-making.

Machine Learning and AI

We build and apply modern machine-learning models on top of your data. This includes supervised and unsupervised learning, predictive modeling, experimental design, causal inference, optimization, and geospatial analysis. We also help you bring practical AI and language-model tools into research and business workflows — with the validation and reproducibility needed for results you can trust.

Networks, Complex Systems and Simulation

Many of the hardest questions involve many interacting parts rather than a single variable. We design and analyse complex systems with network analysis and simulation, drawing on deep expertise in ecological and food-web networks, community ecology, biodiversity and ecosystem functioning, eco-evolutionary dynamics, and agent-based modeling. We scale these analyses from laptops to clusters and cloud infrastructure while keeping every result reproducible and testable.

Beyond Analytics: Our Comprehensive Service Portfolio

Our services extend beyond just analytics. We also provide scientific writing, including research papers and grant proposals, to help disseminate your findings and secure the funding necessary to continue your research. Plus, our training and teaching services cater to a wide range of needs, from programming to reproducible research, experimental design, and even specialized fields such as evolutionary biology and ecology. By empowering your team with the tools and techniques to tackle the challenges of today's research landscape, we ensure that our partnership is not just about meeting your immediate needs, but about building capacity for your future endeavors. Choose Helvetia Analytics, and let us help turn your scientific curiosity into breakthrough discoveries.

Capabilities at a Glance