Nature & geospatial analytics

Transforming complex geospatial data into actionable insights. Harness the power of AI, including machine learning, to analyze, predict, and visualize like never before

Canopy height of a forest, based on drone LiDAR Data

Our expertise

Data agnostic analysis

The Svarmi method uses multi-source earth observation data from drones, earth satellites, and on-ground observations to acquire, process, and analyse nature at the relevant scale

10 years of AI experience

Svarmi has more than a decades experience in building and deploying Artificial Intelligence, including Machine Learning & Deep Learning models for detecting multiple parameters of the natural and built environment

Customised services

Flexibility to match your specific requirements while making use of our pre-built analytics modules

Not afraid of collaborating

We know a lot but so does your team and the external advisors & local researchers you already work with. We believe in openly collaborating with the right people to get to the best results rather than pushing for our team to handle everything

Our way of working

Onboard & structure the right data

Results of analysis are only as good as the data put into it. Having good data housekeeping helps. Data can range from ground sensors & observations, high resolution drone data (RGB, multi-spectral, LiDAR, thermal), satellite data, global databases, and more.

Select and train the right models

We have experience in applying artificial intelligence, machine learning but also less automated yet effective methods. We focus on delivering results efficiently and as accurately as possible

Deploy

Apply the relevant models on the best available data, with a clear understanding of how results can be further improved with further data collection

Results, insights & recommendations

We deliver clear, actionable results tailored to your needs, ranging from concise executive summaries and engaging presentations to in-depth reports detailing the methods used, key findings, recommendations, and any limitations