Vision: "One Health" and agroecological transition
The One Health concept is built on the idea that the health of ecosystems, animals and humans is closely interrelated.
It implies that any degradation of biodiversity directly impacts health, agricultural and climate balances.
Biodiversity is measured by collecting and cross-referencing data on fauna, flora, soils, agricultural practices and the surrounding ecosystem, in order to produce reliable ecological indicators.
Every1Counts aggregates:
- Data on the site's agroecological commitment: agroecological infrastructure, land use
- Data on the ecosystem surrounding the farm: over 200 open-source databases (geology, land registry, GBIF…)
- Field evidence data: sensors (cameras, audio, ultrasound, soils)
This enables a scientific reading of the ecological functioning of your farm and its state of health.
Every1Counts enables a shift from declarative ecology to measured, data-driven ecology.
By quantifying the real impact of actions, the platform helps steer decisions towards practices that genuinely improve ecosystem health.
Yes, it is possible to measure the impact of practices through continuous biodiversity monitoring.
Every1Counts analyses before/after trajectories (fallow land, hedgerows, ground cover and any type of practice) in order to objectively assess the effects of their implementation.
Every1Counts enables long-term management of biodiversity investments through indicators tracked over time.
We are building an ecological management infrastructure that enables:
- Tracking multi-year trajectories
- Comparing ecological performance
- Integrating biodiversity into land management strategy
Methodology and data science
Data comes from multiple sources, combined to analyse the ecological state of a site:
- Data on the site's agroecological commitment: agroecological infrastructure, land use
- Data on the ecosystem surrounding the farm: over 200 open-source databases (geology, land registry, GBIF…)
- Field evidence data: sensors (cameras, audio, ultrasound, soils)
Yes, via ultrasonic sensors.
Yes, currently via traditional methods (pitfall traps) in partnership with specialists. The data is then integrated into the platform.
Yes, analyses are possible via specialised partners. The data is then integrated into the platform.
Yes, Every1Counts can integrate all existing structured data. This includes your historical data, naturalist audits, agronomic or forestry monitoring.
The data is analysed using algorithms and the involvement of engineers for automatic species identification.
We use in particular:
- Deep learning models (e.g. BirdNET – Cornell)
- Quality controls and validation by ecologists
We then produce recognised scientific indicators (species richness, Shannon, Simpson…) to turn raw data into decision-making indicators.
The Shannon and Simpson indices are scientific indicators used to measure biological diversity.
- Shannon : measures the species diversity of an environment — the number of species and the distribution of individuals among them
- Simpson : measures the diversity of an environment by calculating the probability that two randomly selected individuals belong to the same species
Robustness is based on standardised protocols and recognised indicators in scientific ecology.
Our protocols are inspired by standardised methods in scientific ecology. We use recognised indicators (Shannon, Simpson, species richness…) and have validated their consistency across several pilot sites.
Our approach is comparable to a "clinical" method: measurement, analysis, interpretation. It combines field measurement, statistical analysis and expert validation.
Technology and AI
The technologies used are designed not to disturb the animals.
The sensors (audio, video, ultrasound) act as discreet "eyes and ears" and allow continuous observation of living nature.
We collect data on many components of living nature:
- Birds (audio)
- Bats (ultrasound)
- Mammals, rodents, birds (camera traps)
- Insects (field protocols)
- Soil microbiota (partner analyses)
Yes, the sensors operate autonomously without a network connection. Data is stored locally and retrieved via SD cards.
Every1Counts handles the installation and deployment of the sensors.
The collected data belongs entirely to the clients.
Value for farming operations
The Every1Counts platform is a biodiversity monitoring platform that measures the impact of agricultural practices.
It is used to collect, analyse and visualise ecological data. It helps move from an intuitive approach to decision-making based on measured indicators, in order to:
- Optimise agroecological investments
- Analyse ecological data
- Compare plots
- Benchmark against other similar farms or ecosystems
- Track changes over time
The ROI is based on three main levers:
- Optimisation of ecological investments
- Reduction of regulatory risk (CSRD and biodiversity compliance)
- Land value and image enhancement
A naturalist audit is a one-off snapshot, whereas Every1Counts provides continuous monitoring and the full picture of a trajectory.
Continuous measurement makes it possible to:
- Account for seasonality
- Offset weather-related bias
- Avoid the effect of possible human presence
On average, 6 months of data are needed to obtain stabilised indicators.
Yes, the indicators can support environmental certification processes.
Yes, the data can be used within CSR and CSRD frameworks.
Yes, a pilot deployment is recommended before scaling up.
The solution operates on an annual subscription basis, adapted to the number of hotspots (sensors) and the level of analysis.
Contact us to obtain a personalised quote.
Every1Counts works with a variety of site types:
- Agricultural and viticultural farms
- Commercial forests
- Industrial sites
- Peri-urban areas
- Tourism sites