We are building Earth Science AI

Bringing clarity to decisions on climatic and extreme events – for the long-term resilience of our planet and its people


We forecast risks and opportunities

for your sustainable growth



AI in action

We turn reactive responses into proactive decisions. We are creating AI to monitor, predict and simulate how the planet’s natural resources will respond to climatic and extreme events, on a local and global scale.

Our platform will detect disruption quickly and accurately, so that you can plan ahead. We have a singular purpose: the restoration and resilience of our planet. To do this, we are pioneering Earth Science AI. 



Partner with us

We are building a dynamic map of the planet, powered by historic, predictive and personalised Earth Science data, to answer questions related to land-based processes and assets, to empower better decisions.

We are opening our platform to future-focused decision makers – in risk, investment, insurance, food, infrastructure, policy and national security – who must tackle the complex challenges created by climatic and extreme events.  





Latest news & research

Cervest @ the Met Office

Weather and climatic data are central to Cervest’s work, feeding into our models and constituting a critical dependency for asset-level risk signals on our open-access beta platform. A primary provider of such data is the European Centre for Medium-Range Weather...

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AI Ethics for Systemic Issues: A Structural Approach

Cervest Research Resident Agnes Schim van der Loeff explores the ethical implications of AI and systemic issues, and argues for the expansion of the AI ethics discourse to account for more complex risks. The original research paper will be presented at the 2019 NeurIPS conference.

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Ernesta Baniulyte

Ernesta Baniulyte 
Product Designer

Ernesta has been a full-stack product designer for more than five years. She has valuable experience in the B2B, B2C and B2B2C worlds, and while working at both agencies and product/service companies, she has learned to develop UX research infrastructures to support strategy.

At Cervest, Ernesta contributes to all stages of the product development process – from initial ideation to the exacting detail of UI design – finding new ways to visualise data, and ensure our product is intuitive and user friendly.

Ernesta’s decision to join Cervest was inspired by her desire to make the world a safer, better and more aware place.

Ramani Lachyan 
Junior Research Scientist

Ramani joined Cervest after obtaining her Master’s in Physics from ETH, Zurich. She brings with her valuable experience gained through working on model building and data simulation pertaining to neutrino physics.

Ramani has joined Cervest as a Junior Research Scientist and will be working on creating algorithms that allow for the extraction of physical observables from data from a range of sources.


Lukas Scholtes 
Statistical Scientist

Lukas completed his maths BSc at ETH Zurich, followed by an MSc in statistics at Imperial College. He wrote his MSc thesis in collaboration with Cervest, on the modelling of North American wheat yields via Bayesian parametric and non-parametric methods.

Following an internship in the NGO sector in Bangladesh and a stint in the world of fintech, Lukas comes to Cervest, excited to apply himself to the challenges that are arising as a consequence of unsustainable land-use policies and climate change.

Aidan Coyne
Junior Researcher

Aidan is currently pursuing a Bachelor of Arts and Sciences in Science and Engineering at University College London with a focus on computer science and data informatics.

At Cervest, Aidan is working on researching and assimilating a database of articles categorising the reasons for extreme decreases in crop yields across Europe. The information will be used to help predict the impact of weather events on crop yield and contribute to  Cervest’s ability to bring clarity to decision making around climatic and extreme events.

While studying, she also volunteers with environmental conservation groups and youth engagement programmes.

Jasmine Thompson
Engineering Resident

Jasmine’s background is primarily in Python programming with a focus on data analysis and visualisation.

Since graduating, she has worked on data insights for a London-based dating app startup, helping the company understand the user base and guide new growth. She is now excited to use her skills to help Cervest deliver playback data and useful data analysis and is passionate about the potential of data science, machine learning and visualisation tools.

While studying at Westcliff High School for Girls she was involved in a variety of projects including GUI design for BAE Systems and data collection for a surveillance vehicle project sponsored by Leonardo S.p.A. She was also the Data Analyst for a long-running Southend Youth Council project that advocated for students having better mental health services in school.