We are delighted to have been chosen by Tech Nation to join their applied AI programme.

Being on the programme will fundamentally help us accelerate the delivery of benefit to users.

Cervest’s Earth Science AI platform is designed to transform the decision-making capabilities of businesses, governments and growers in the face of increasing climate volatility. The platform automates the collection and analysis of data, then generates early, accurate and personalised ‘climate signals’, which are uniquely accessed on a price-per-signal basis served over the cloud. This makes it an extremely flexible and economical way for users to receive ‘decision useful’ intelligence without experiencing any of the overhead and complexity.

We are building a pioneering scientific framework, rooted in computational statistics and machine learning, which will make it possible to simultaneously interrogate and process complex scientific and operational data including soil health, weather, water, land-use classification and satellite imagery across different scales, resolutions and timescales for millions of hectares of land. From this we are able to extract personalised signals to forecast land productivity and inform land use over time, supporting mission-critical decision making both in-season and into the future.

These early, accurate and personalised streamed signals (which do not rely on on-the-ground sensors or drones) can be incorporated into core government and business decision processes via a dashboard or API enabling them to be automatically shared across the enterprise and their value chain, allowing other business users to incorporate Cervest’s signal analysis into their respective decisions and processes relating to land.

Our first data product offering is the provision of early, personalised ‘streaming’ signals on 2019 in-season crop yield at multiple spatial scales. This beta product is currently used by food and beverage companies to augment their decisions on volume, pricing, sourcing and related planning for ‘at-risk’ procurement orders, which we aim to deliver at a demonstrably lower cost compared to current means of yield estimation.

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.