Dataloop
End-to-end AI data development platform for unstructured data management, annotation and pipelines.
Acquired — still operating
Acquired by Dell Technologies in December 2025 in a reported $120M all-cash deal; now part of Dell's AI infrastructure stack.
About
Dataloop is an end-to-end AI data development platform founded in 2017 in Herzliya, Israel, built around unstructured data: visual data management with search and embeddings, an annotation studio, and a pipeline layer for orchestrating production RLHF, RAG and generative AI data workflows. It bundles MLOps tooling, a serverless compute environment for data apps, and a model and app marketplace, with SDK and API access for code-first teams.
The platform targets enterprises building vision AI in retail, robotics, agriculture, autonomous vehicles and media. In December 2025 Dell Technologies acquired Dataloop in a reported $120 million all-cash deal, folding it into Dell's AI infrastructure stack. Caveat: post-acquisition roadmaps can shift, so buyers should confirm standalone availability and pricing directly.
What it can do
- Unstructured data management with embeddings and search
- Annotation studio with AI-assisted labeling
- Production pipelines for RLHF, RAG and GenAI workflows
- MLOps: model versioning, experiments and fine-tuning
- Human-feedback integration for large data teams
Setup
Sign up for the Dataloop platform; connect cloud storage and build pipelines via the UI or Python SDK.
Prerequisites
Cloud storage buckets for datasets; enterprise agreement for production scale.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (verified tier, metrics-v1). Evidence: Strengths: founded 2017, $49M raised, AWS Marketplace listing, acquired by Dell Dec 2025 for ~$120M (CRN/Calcalist reporting); end-to-end platform: data management, annotation, RLHF/RAG pipelines, MLOps; Docked for: (1) proprietary closed platform; (2) post-acquisition roadmap uncertainty; (3) no public pricing. Manual review: acquisition lifecycle recorded; caveat on standalone availability noted in entry. License: proprietary (enterprise SaaS; quote-based pricing).
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 7.0/10
- Maintenance · recency, releases, issue load
- 7.0/10
- Openness · license + docs
- 4.0/10
- Manual review · sanity read + red-flag check
- 6.0/10
- · Strengths: founded 2017, $49M raised, AWS Marketplace listing, acquired by Dell Dec 2025 for ~$120M (CRN/Calcalist reporting)
- · end-to-end platform: data management, annotation, RLHF/RAG pipelines, MLOps
- · Docked for: (1) proprietary closed platform; (2) post-acquisition roadmap uncertainty; (3) no public pricing
- · manual review: acquisition lifecycle recorded; caveat on standalone availability noted in entry
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.