about us

On both sides of the data,
for decades.

AtmoScale is built by atmospheric scientists, software engineers, and cloud-data specialists — people who have both produced these observations and fought to actually use them.

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What we do

Who we are

A small team with decades of published research in radar meteorology and hydrology, and just as many years building the systems that actually move the data around. We're co-authors of textbooks, contributors to open-source projects in the geoscience stack, and operators who've shipped production pipelines for national observing systems — with working prototypes on national radar archives in 7 countries across 3 continents.

Why we started

We watched too many institutions invest in radar networks and then lose access to their own archives — stuck behind vendor formats, brittle pipelines, and infrastructure that wasn't built for the questions they actually want to ask. AtmoScale exists to close that gap, on terms the institutions own.

How we work

Open formats. Cloud-native foundations. Hardware-agnostic by default. We build with you, not around you — pilot projects, managed deployments, training, or consulting, shaped to your institution's reality and your operational constraints.

Founders

Alfonso Ladino-Rincón

CEO & Co-founder

Alfonso leads AtmoScale's product and technical direction, architecting the massive-scale data pipelines the platform runs on. His background spans distributed systems, cloud computing, and radar meteorology — turning petabytes of archived observations into real-time, analysis-ready infrastructure. Lead author of Radar DataTree , submitted to IEEE Transactions on Big Data.

alfonso@atmoscale.ai

Steve Nesbitt

CSO & Co-founder

Steve sets AtmoScale's scientific direction, bringing decades of experience in atmospheric research and observational meteorology. Co-author of Radar Meteorology: A First Course , he brings deep knowledge of radar data, retrievals, and artificial intelligence applied to atmospheric and hydrologic observations.

steve@atmoscale.ai

let's talk

Want to know more about how we work?

The fastest way to understand fit is a conversation. Tell us about your archive, your operational constraints, and what you'd like to be able to do with your data.

Tell us how we can help → Read our vision