Focus on data, not cloud infra.

Eventual is the compute platform for modern data-driven machine learning on images, videos and more.

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Data-Driven Machine Learning

Building intelligent machines requires intensive processing of large amounts of high dimensional data such as images, video and audio.

Eventual enables teams to run large scale processing on their data without having to think about cloud infrastructure.

Why teams love us.

Simple

Eventual is simple. We make it easy for developers to write cloud native software that scales.

Fully Loaded

Eventual provides commonly used modules for ML applications right out-of-the-box.

Run on your Cloud

Eventual is built with cloud-agnostic tooling and can deploy directly into your organization’s cloud.

Easy Local Development.

Your code runs exactly the same way locally as it does in the cloud.

We make it easy to go from functions on your laptop to production pipelines in seconds.

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Build scalable data pipelines.

Choose from our marketplace of DataApps or build your own to compose complex data processing applications such as:

Extract vector embeddings from images with a Convolutional Neural Network
Detect and classify objects in an image with a ML model or with third-party labelling services
Save data in a database of your choice like PostgreSQL, BigQuery, Snowflake etc
Run robotic planning simulation with your own C++ binaries
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Automate your data flow

Eventual pipelines can trigger automatically, enabling a Continuous Delivery of data as it enters your system.

Event-driven Runs: Run pipelines on data as it comes in, like when your files get uploaded to cloud storage or on database writes.
Scheduled Runs: Run pipelines on a fixed schedule for batch-style workloads
Manual backfills: Run new pipelines on historical data to backfill your databases
Webhooks: Kick off pipelines from your Continuous Integration server or even Slack!
Get Started

Eventual plugs into 
your existing storage.

Our Team

Built by engineers from top Silicon Valley companies.

Ready to get started?

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