Data infrastructure for applied AI teams
The data layer that keeps AI infrastructure in sync.
Skwirl syncs training data and telemetry between your storage, pipelines and cloud regions, with delivery guarantees built in.
Batched and compressed
Small writes are grouped and squeezed before they hit the network.
Ordered and acknowledged
Every batch is confirmed end to end, so nothing arrives twice or out of turn.
Buffered on outage
When a link goes down, Skwirl keeps collecting and replays on reconnect.
Why Skwirl
Built for data that lives in more than one place.
Training data lives in object storage, telemetry lives in dashboards, and models live in the cloud. Skwirl keeps them in sync.
Sources to cloud, and back
Collect from your data sources, land in your cloud, and push models or configuration the other way. One sync layer, both directions.
Delivery guarantees
Every batch is acknowledged end to end. Ordered, deduplicated and replayed after an outage, so nothing is silently lost.
Runs anywhere
Your cloud, your VPC, or a managed Skwirl region. A small agent does the work, with no network redesign.
How it works
Three steps between your data and your cloud.
The sync layer sits between the two. Each side keeps working when the other is unreachable.
Connect a source
Point Skwirl at a bucket, database or stream. A small agent buffers locally and connects over TLS.
Sync with guarantees
Batches are compressed, ordered and acknowledged along the way. Backpressure keeps everything healthy when the network is not.
Land in your cloud
Data arrives in the region you choose, ready for training pipelines, storage and dashboards.
Status
Skwirl is in private beta with a small group of infrastructure partners.
General availability is planned for later this year.
Get in touch
Working with training data or telemetry across more than one tool or region? Tell us about your setup.
hello@skwirl.ai