Dataloop AI
Verified Oct 15, 2026 DiscontinuedThe site's security certificate is invalid. Other discontinued tools
Data platform for AI teams: annotate unstructured data, run pipelines and keep humans in the loop
Listed on EffectHub ·
Pricing
- Pricing model
- Contact sales
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 ↗About Dataloop AI
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.
- Platforms
- Web · API
- API
- Yes
- Last verified
- Oct 15, 2026
Verified sources
- Platform page describing unstructured data management, pipelines, human feedback, marketplace and multi-cloud deploymentdataloop.ai ↗
- Pricing URL redirects to the platform page with no figures, leaving demo booking as the only pathdataloop.ai ↗
Is Dataloop AI legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- Domain registered
- Dec 16, 2017 (8 years ago)Registry record (RDAP), registrar Marcaria International LLC, looked up Sep 6, 2026
- Last checked
- Oct 15, 2026The site no longer answers
- Operated by
- Dataloop Ltd.Our research, card verified Aug 23, 2026
Pros & cons of Dataloop AI
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.
Pros
- Annotation, human review, pipelines and deployment live in one platform rather than three tools
- Handles images, video, audio, text and LiDAR, not just images
- Marketplace of pre-built model adapters and applications shortens integration work
- Cloud-agnostic across AWS, Google Cloud and Azure
- Carries SOC 2 Type II, ISO 27001 and ISO 27701 certifications
Cons
- No pricing is published at all; the pricing URL now redirects to a product page
- Evaluation requires a sales process rather than a self-serve trial
- The breadth means a real onboarding effort before the platform pays off
- Headline claims such as 20x faster development come with no published methodology
Best for
- Computer vision teams managing large image, video or LiDAR datasets
- Organisations running RLHF or human review loops at scale
- Enterprises needing SOC 2 and ISO certifications on their data tooling
Not for
- Small teams that need a price before a sales call
- Projects that only need occasional annotation of a few thousand items
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.