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Data platform for AI teams: annotate unstructured data, run pipelines and keep humans in the loop
Dataloop handles the data side of building models rather than the models themselves. It stores and lets teams explore large unstructured sets — images, video, LiDAR, audio and text — provides annotation tooling and human review queues, and chains the steps into pipelines that call models and custom code. A marketplace supplies pre-built model adapters and applications, and the platform deploys across AWS, Google Cloud and Azure. Selling is enterprise-style: no figure appears anywhere on the site and every path ends at a demo booking. The vendor is Dataloop Ltd., which lists SOC 2 Type II, ISO 27001, ISO 27701 and GDPR compliance, plus partnerships with NVIDIA, Microsoft, Google and Qualcomm.
No price is published. The pricing URL redirects to the platform page and every call to action is a demo booking, so cost is negotiated per deployment.
Use tool ↗A mature data-operations platform for teams whose bottleneck is labelled data rather than model code, covering annotation, review queues, pipelines and deployment across the major clouds. It is sold like enterprise software: no published price, a demo before you see anything, and enough surface area that adopting it is a project rather than a signup.
Watch out: Parts of the site are stale — the footer still reads 2023 and a banner advertises a 2024 conference — so confirm current capabilities with sales rather than the marketing pages.
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