Orchestrate your algorithms into cloud processing pipelines.
Integrate your with your custom web application or cloud
infrastructure.
The fastest, easiest, least expensive way to launch
production-grade data processing pipelines.
Hosted in your organization’s Amazon Web Services account,
integratable with your cloud infrastructure and web
applications.
Save 6 to 7 figures each year in engineering costs. We handle
CI/CD, security, scaling and cloud resource
provisioning.
Go to market now. Build your production-grade pipelines in days,
not months.
No vendor lock: your algorithms are saved in version control
(Github), Dockerized, and ready to migrate.
Built with serverless technology: your pipelines are always
online, but you only incur cloud compute fees when the pipelines
are triggered.
Remote sensing: we provide integrations with the European Space
Agency, Planet, SkyWatch and other satellite imagery providers.
Integrate with Strato Maps so that your map users can trigger
workflows which output new layers on a map, or make layers
available for download.
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How it works
Our team will launch and configure the application components in your
Amazon Web Services account free of charge.
1
Create a Github repo
Run our bash script in your terminal to spin up a new
repository in your organization’s Github account.
2
Add your algorithm
Add a data processing algorithm in any language to the repo and merge to
main. Our secure Github integration pushes a Docker image of the repo to
your AWS account.
3
Build workflow nodes
Use the Workflows user interface (hosted in your AWS account)
to turn your algorithms into serverless compute instances with a few clicks
of the mouse.
4
Build a workflow
Drag-and-drop to orchestrate the algorithms into
serverless data processing pipelines.
5
Process your data
Execute the pipelines manually, on a schedule, via API
request, or from Strato Maps.