For the Third Age of Data

Spiral is the data platform for the machine consumer.

Legacy systems were built for dashboards and small models. Spiral is built for what comes next: workloads where each H100 wants terabytes per second of query output.

Frontier AI labs use Spiral to manage multimodal data, align multi-rate streams, build training sets dynamically, and saturate GPUs at machine-scale throughput.

The same engine that saturates a training cluster also clears bottlenecks in everyday analytics and machine learning. One transactional, multimodal database handles embeddings, images, and videos. It's backed by object storage, with permissions unified across all your data. Hybrid is the default: one deployment spans your hyperscaler, your neocloud, and your on-prem cluster.

If you're working at machine scale, get in touch.