Accelerate innovation with modern tensor data workflows

Easily operationalize weather, climate, and earth-observation data to predict and prepare for the future.

Accelerate innovation with modern tensor data workflows
benefits

Meet your goals faster with modern array-based data management

Streamline data operations so you can focus on what you do best.

Save time and money
Save time and money

Save months of development time by adopting the Earthmover managed platform instead of building a bespoke solution — or save on storage, maintenance, and data delivery by streamlining your existing operations.

Collaborate and evolve data safely
Collaborate and evolve data safely

Transform scattered data into a single source of truth and empower teams to collaborate in real-time with robust version control and data governance.

Extract more value from your data
Extract more value from your data

Unlock new potential for analysis and product development with cloud-native data management that retains your data’s multidimensional structure. Easily operationalize data with a wide array of delivery options.

applications

For organizations turning weather and earth observation data into valuable products and insights

Weather forecasting and AI models
Weather forecasting and AI models

Focus entirely on iterating on model quality instead of data infrastructure or DevOps bottlenecks, even as data sets scale

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Hedge funds and energy traders
Hedge funds and energy traders

Query weather forecast data like a high-performance database, allowing analysts to easily run backtests and forecasts, enabling faster predictive weather insights that drive alpha.

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Environmental monitoring & risk analysis
Environmental monitoring & risk analysis

Reduce complexity of data product delivery and reduce audit risk with streamlined data workflows and robust data governance.

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Government agencies
Government agencies

Fulfill missions by making high-volume public data accessible to public and private scientific communities in a high-performance cloud-native environment.

Scientists and academic institutions
Scientists and academic institutions

Advance open science by gathering scattered data into a single source of truth on the cloud and enabling collaboration and reproducible experiments.

Daniel Rothenberg

Daniel Rothenberg

Atmospheric Scientist
testimonial icon

Arraylake solves all of the challenges I’ve encountered working with massive weather and climate datasets. It will be my go-to tool for building any new research project or operational project.

case studies

Empower cutting-edge workflows

and solutions

Learn how customers use Earthmover to modernize data workflows for weather forecasting, climate modeling, environmental monitoring and more.

Case Study

Cloud native data loaders for machine learning using Zarr and Xarray

Cloud native data loaders for machine learning using Zarr and Xarray

We set up a high-performance PyTorch dataloader using data stored as Zarr in the cloud.

Case Study

Solving NASA’s Cloud Data Dilemma: How Icechunk Revolutionizes Earth Data Access

Solving NASA’s Cloud Data Dilemma: How Icechunk Revolutionizes Earth Data Access

Earthmover helps NASA achieve 100x performance boost for cloud data analytics with the Icechunk tensor storage engine.

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