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Engineers, Doctorates, Passion, Humans and Beloved AI

About Us

We're leveraging artificial intelligence to measure the environmental benefits provided by nature-based projects around the world. As a starting point, we're focusing on forests.

We imagine tomorrow's world more sustainable by designing precise, independent and affordable solutions.

In short, we like a planet with forests of all sizes.  
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Manifesto

We are a science-based, solutions-driven team dedicated to solving one of humanity’s greatest challenges: climate change. We believe nature itself can help restore the balance, but the number of healthy ecosystems in tomorrow's world will depend on how well their value is accounted for today. That’s why we’re using cutting-edge AI-powered data to precisely measure their benefits and unlock the potential of nature-based projects. 
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Trust and transparency are at the heart of everything we do. Because ecosystem benefits are complex and costly to measure and synthesize, it can be difficult for some of these initiatives to scale. To make sense of it all, we’re committed to building a seamless experience for our customers so they can continue their essential work unhindered by costs or delays. We believe this information should be available to anyone working towards a better future, which is why Kanop is an independent, unbiased platform accessible to projects of all sizes.
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Getting measurements right will pave the way to a world where Earth's ecosystems are understood, protected, and integrated sustainably into the economy and society. We’re laser-focused on building a frictionless, impactful measurement platform that is equitable, efficient, and cost-effective for everyone and anyone interested in establishing and scaling nature-based solutions. Climate change is the challenge of our lifetimes, and we are committed to meeting the challenge head-on.
Values are what flora is to forests -  less obvious, yet fundamental

Our Values

Building a platform that we're proud of and you happen to find useful, starts with simple and intentional values

We're doers

We're Collaborative

We're Unbiased

We're Infinitely Curious

We have ambitious goals that require us to act with thoughtful urgency. This means we ruthlessly prioritise our work and hold ourselves to high standards in our commitments to our customers and one another.
The only way we’re going to tackle big problems is by supporting each other. We welcome open and honest feedback. Trust, kindness, and transparency are fundamental. 
Science is objective, and so are we. We’re not interested in gimmicks or tricks that distract us from our mission. We pride ourselves on creating an ethical, data-first company and platform that can be used and trusted by our customers without ulterior motives. 
Using cutting edge technology, we uncover and measure all the benefits nature provides. We’re continuously learning and amazed by the wonders of Earth. While we accept we can’t know everything, this energizes and inspires us to do our part fighting climate change.
Gathering engineers, scientists and cultures

Tech-for-Good Starts with Good People

Kanop's team brings together doctoral expertise in the field of machine learning and sensing alongside industry expertise to create a modern and easy to use platform.

We happen to also work in English to be internationally inclusive and hire the best people.
Open positions
Romain Fau
Co-Founder & CEO
Graduated from EMLyon Business School. While General Manager for Western Europe at BlaBlaCar, managed growth and developed expertise in Energy Saving Certificates. Responsible for product and monetization for two London FinTechs (PassFort and Cleo AI).
Louis de Vitry
Co-Founder & CTO
Graduated from Federal Polytechnic School of Lausanne, Centrale Paris and KTH. Managed AI projects, worked on complex medical images to improve cancer treatment, developed expertise in processing and analyzing satellite images.
Antoine Labatie, PhD
Lead Computer Vision Engineer
Engineer from CentraleSupélec, holds MSc in statistics and machine learning, PhD in applied statistics. Worked 8 years in cleantech and AI startups as (lead) ML engineer/researcher, published papers in high-impact AI conferences ICML 2019 and NeurIPS 2021.
Colette Gelas, PhD
Remote Sensing Engineer
PhD in biomass estimation using SAR data. Collaborated with CNES, Cesbio and Capgemini, participated in ESA exercises for BIOMASS mission.
Victor Allory, PhD
Ecosystems & Carbon Engineer
Holds engineering degree and PhD in agronomy. Specialised in organic carbon storage in soils at Laboratoire Sols et Environnement in Nancy.
Stéphanie Baltus
Lead Backend Engineer
Spent 13 years leading and contributing to data engineering, software development, and infrastructure projects in companies such as LeBonCoin and Algolia.
Carla Geara
Image Processing Engineer
Holds a Mathematics, Vision and Learning Masters from the Institut Polytechnique de Paris. Carla is also a PhD candidate in computer vision with Kanop, Telecom Paris and ONERA.
Nataly Michail
Data Analyst Intern
Holds a MSc in data science & analytics from École Pour l'Informatique et les Techniques Avancées (EPITA) and has experience working with large datasets.
Lucas Pinot
Machine Learning Intern
5th year student at École Pour l'Informatique et les Techniques Avancées (EPITA). Solid scientific background with experience in large GIS projects.