
Spiral builds data infrastructure for managing & processing multimodal data in Python.

Spiral builds data infrastructure for managing & processing multimodal data in Python.
What they do: Object-store-native data warehouse for AI pre-training and multimodal data.
Core technology: Built on Vortex, an open-source columnar format.
Key capabilities: High-throughput, GPU-saturating reads; emergent schema; append columns/rows without rewrites.
Funding & investors: Reported Series A $16.5M; company-stated total Seed+Series A $22M; investors include General Catalyst and Amplify Partners.
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Multimodal data infrastructure for AI pre-training and machine-scale workloads
2023
Data infrastructure
$16.5M
$22M
“General Catalyst; Amplify Partners”
Spiral is building the data infrastructure that AI actually needs. We enable teams developing models in complex domains, such as weather & climate, financial, time-series, genomics, point-clouds, videos, and images.
We're reinventing storage with innovative data layouts, compression strategies, and orchestration layers, blending open-source building blocks like Vortex with proprietary cloud data warehouse architecture.
We’re a small, high-caliber team based in New York and London , backed by world-class VCs and equipped with the runway to tackle bold ideas.
We’re looking for exceptional engineers with deep experience in low-level, high-performance software and cloud-scale storage systems.
What we're looking for:
Compensation Range: £150K