AI for climate smart decisions

Ensuring business continuity and sustainable growth in a volatile world

De-risk your land and crop decisions

with personalised, early signals

 

Our pioneering machine learning platform monitors, predicts and simulates land and crop productivity. It
detects disruption fast and accurately – so that you can protect your business, your assets and our planet.

 

Serving some of the world’s leading crop science and food businesses as well as policy makers, we empower
those responsible for nature’s resources to make better decisions today, and adapt quickly for tomorrow.

 

What we do

Scientific platform

We have combined statistical science, computational sustainability, geospatial and agronomic data to create a unique platform that analyses land areas – from soil to sky.

Advanced climate AI

Our pioneering algorithms 
empower you to make climate smart
decisions on in-season and long-term
land and crop productivity, as well
as land use policy.

Regenerating our planet

We map complex field-to-biome interactions to ensure that the decisions you make secure future supplies while also rebalancing Earth’s natural capital.

How we help you

If the productivity and resilience of land is integral to your business, we’re here to help you make smart, informed decisions today that will create a more certain future.

De-risking decisions

We help you make confident and early choices for your land, farm, business or region, by dynamically modelling 
land and crop productivity.

Low cost, personalised AI

Our powerful, scalable AI provides personalisedanalysis globally at your fingertips, across land and multiple crops – without the need for expensive sensors and drones.

Scenario planning

We simulate land performance and natural capital changes for any scenario, location or time, intelligently learning for the future, so that you can adapt. 

Decoding data

We generate early warnings and personalised insight – cutting through data overload and scientific complexity via easy-to-use mobile and desktop applications.

Latest News

André DuBuisson 
Chief Product Officer

Andre is a product specialist with 16 years’ experience delivering and growing global B2C / B2B products and Marketplaces across multiple sectors.

He’s successfully serviced diverse clients in product management, business analysis, UX and consulting. Recent engagements have included the innovative use of data science & technology in dynamic marketplaces and developing a large-scale customer engagement platform.

He has previously held product leadership positions at Victor Limited and Collinson Group, developing customer loyalty solutions for well-known international brands.

Ruiao Hu
Research Resident

A computer scientist by trade and a mathematician at heart, Ruiao graduated from Imperial College London with an MEng degree in Joint Mathematics and Computer Science.

With industry experience in data engineering gained with world-leading finance firms, Ruiao has joined Cervest for the summer to construct data pipelines for a number of our upcoming projects.

Just as he joined Cervest, Ruiao achieved a first class MEng degree with the Governor’s Prize and Corporate Partnership Programme award for his final year project. After his time at Cervest he will pursue a PhD in stochastic geometric mechanics under the supervision of Prof Darryl Holm at Imperial College London.

James Walsh
Research Resident

James is a Statistical Scientist with a bachelor’s degree in the subject awarded from the Statistics department at the University of Warwick.

James joins Cervest as part of his work with the Warwick Manufacturing Group and The Alan Turing Institute where he is a Research Assistant developing Physically Informed Hybrid models.

He will be spending his time at Cervest applying this expertise to simulating individual crop growth and constructing bulk processing technologies for modelling organic carbon content for soil quality monitoring. He has also worked in the risk team of financial consultants at Albourne Partners building simulations.

Mike Zotov
Research Resident

Mike has recently graduated with a first class honours degree in Mathematics from the University of Warwick.

Having studied Machine Learning as part of his degree, he has joined Cervest for the summer to work on deep generative models for de-noising remote-sensing data.

After his time at Cervest he will continue to pursue his passion for Machine Learning with a Master’s degree at Imperial College London.

Anna Moses
Business Process Lead

Anna has broad experience helping organisations to define and operationalise their processes in order to achieve ambitious business objectives.

Anna has worked across the public, private, and charity sectors with a focus on organisational transformation through business analysis and behavioural science-focused change management, at organisations including the UK House of Commons, the Parliamentary Digital Service and leading US healthcare consultancy The Advisory Board Company.

Inspired by Cervest’s commitment to using technology for good, through both the delivery of game-changing products and an inclusive working environment, Anna is passionate about being part of the solution to the climate crisis.

She has a BA in Political Science and History from Wellesley College, Massachusetts, and also attended the Massachusetts Institute of Technology.

Michael Griffiths
Senior Engineer

Michael has been building software for over a decade as both a developer and analyst. He has worked and consulted in a broad spectrum of domains – including insurance, payments and e-commerce – for both early-stage startups and established companies. He is also a passionate open-source developer, being a co-maintainer of a number of developer tools for the Clojure programming language. Further, he has been a teacher for the ClojureBridge organisation, which provides free programming workshops for underrepresented groups in tech.

A dedicated environmentalist, having worked for the National Laboratory Service arm of the UK Environment Agency before entering the software industry, he joined Cervest in 2019 with a commitment to use his expertise to build flexible and scalable distributed software systems to help our world adapt to the growing climate crisis, while promoting sustainability and science-driven decision making.

Michael holds a B.Sc. in Theoretical Physics from University College London.

Agnes Schim van der Loeff
Research Resident

Agnes recently graduated with a first class honours BA in Arabic and Development Studies from SOAS University of London. Alongside her studies she has also worked as Environment Officer in the SOAS students’ union. Passionate about environmental justice, she plans to pursue a master’s degree in political ecology.

Agnes has joined Cervest to research the ethical implications of AI in relation to climate change and food security, and thus help ensure Cervest’s pioneering technology adheres to the highest ethical standards. With her social science background she is interested in the social, economic and political dimensions of climate change and will therefore also conduct policy-related research to inform Cervest’s engagement with policy makers.