Restoring our planet through informed decisions

We are developing Earth Science AI for the restoration and resilience of our planet and its people

We predict the risks and effects of climate volatility, empowering everyone to make informed decisions through Earth Science AI

Climate Security – through Earth Science AI

We’re experiencing unprecedented flooding, hurricanes, and heat waves that are causing mass-scale disruption both for built environments and rural areas.

Informed, intelligent decisions for resilience on a changing planet.

Thriving in a climate in flux is the biggest challenge we face, now and in future. Making better decisions, minimising risk and identifying opportunities is critical – and our Earth Science AI provides both the tailored insight and global perspective required to do just that.

We are creating powerful climate security tools, and personalised, science-backed risk analysis for every asset that matters to businesses, governments and people – and to our planet.

From extreme weather events to broader climate shifts, we provide real-time insight on how your assets will be impacted.

Are the assets you own, invest in, or manage at risk from climate volatility? Do you need a trustworthy risk assessment to inform decision-making? Can you share asset risk exposure to enable better decisions outside your immediate control? Our Earth Science AI platform drives answers to these, and many more, essential questions. We combine expertise in Earth Science with advanced AI and machine learning to create the most comprehensive, actionable climate data possible, enabling optimisation of our individual and collective resources. 

Our independent, open-access platform quantifies the risk to your specific assets of climatic and extreme events. We do this by synthesising historical and contemporary data with unprecedented future scenario modelling, producing asset-level understanding from a global knowledge base. So armed, your organisation and value chain can make smarter decisions and informed investments that will help secure your future and protect our planet.

We are offering selected partners early beta access to our AI platform. From risk analysts to modellers to C-suite decision- and policy-makers, across insurance, finance, FMCG and government, you’ll benefit from the comprehensive climate risk data and analysis provided by our platform – personalised for you to proactively manage your asset level risk.

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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.

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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.

Alex Rahin
Chief Product and Technology Officer

Alex is an entrepreneurial technology leader with over 25 years of hands-on experience in developing and executing innovative product and technology strategies.

Prior to Cervest, Alex served as Chief Product & Technology Officer at Beamly, a technology and data company delivering data platforms & infrastructure, data & content management solutions, and AI-powered eCommerce analytics, leading Beamly to a successful exit in 2020.

Before working at Beamly, Alex served as Chief Data Officer at Just Eat, where he built an end-to-end data organization, leading the company’s data-driven transformation with the launch of a unified customer data platform and scalable machine learning products

Earlier in his career, Alex held prominent roles at Zalando, Amazon, Microsoft, Intel, Hewlett Packard, and three technology startups achieving successful exits in all three.

Alex holds a BSc in Electrical Engineering & Computer Science from UC Berkeley.