Nature data, ready for analysis

A scientific approach to nature

At Cecil, we draw on foundational scientific principles to identify and describe the most important facets of nature in an objective, transparent, and rigorous way.

We have developed a repeatable and scalable operating model with the research community. We use this model to curate nature datasets and deliver the academic gold standard for nature data.

We collaborate with a network of industry experts to consolidate dataset protocols, methods, and specifications into clear and comprehensive documentation.

Unlocking efficient analysis

Cecil makes all datasets consistent and joinable by default. We consolidate time-series data into multidimensional data models, harmonise measurement units, and reproject pixel grids to a baseline CRS using appropriate resampling methods for continuous and categorical data.

We provide you with secure SQL access to a database optimised for time-series and spatial analysis at scale. This allows you to join large datasets from multiple data providers and perform complex aggregations and computations in milliseconds, delivering key data insights with maximum efficiency.

Transparent roadmap

We currently support plant aboveground biomass, land use, and land cover datasets from industry leading data providers such as Chloris Geospatial, Kanop, and Planet Labs.

Get in touch to learn more about our roadmap. We would love to hear which datasets you would like us to prioritise.