Dataloop AI
Dataloop AI is an Israel-based data-centric AI development platform that enables enterprise teams to manage unstructured data, orchestrate multimodal AI pipelines, and integrate human feedback into model training across image, video, LiDAR, audio, and text workloads.
- Company typePrivate
- Founded2017
- HeadquartersHerzliya, Israel
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What Dataloop AI does
Dataloop AI is an Israel-based, data-centric AI development platform that enables enterprise teams to manage unstructured data, orchestrate multimodal AI pipelines, and integrate human feedback into model training. The platform addresses the full AI data lifecycle across images, video, LiDAR, audio, and text, serving enterprise AI teams, data engineers, data scientists, AI leaders, software engineers, and human reviewers building production AI applications in verticals including autonomous vehicles, defense, agriculture, generative AI, and edge AI.
The platform is architected as six tightly integrated modules: Data Management (visualization, search, and versioning for unstructured data), Models (lifecycle, experimentation, fine-tuning, and deployment), Pipelines (drag-and-drop or Python SDK orchestration with pre-built templates), Applications (function-as-a-service), Human Feedback (RLHF/RLAIF), and Marketplace (third-party components and ready-made workflows). Notable technical depth includes LiDAR/3D point cloud annotation for autonomous systems, vision-language model agent orchestration leveraging NVIDIA Cosmos Nemotron 34B, RAG with HyDE support, and integration with every major AI/Cloud ecosystem: NVIDIA NIM and NeMo, Microsoft Azure AI Studio, Google Cloud/Gemini, AWS Bedrock, IBM watsonx, Qualcomm AI Hub, and MongoDB for vector search. Developer access is provided via Python SDK and REST API. The platform holds ISO 27001, ISO 27701, SOC 2 Type II, and GDPR certifications, with enterprise-grade security controls including RBAC, SSO, 2FA, and AES-256 encryption.
Dataloop operates on custom enterprise subscription pricing with annual contracts, distributed through direct enterprise field sales, all three major cloud marketplaces (Azure, AWS, Google Cloud), and a self-serve console. Named enterprise customers span NVIDIA, Microsoft, Amazon, Google, IBM, Ford, Toyota, Intel, LinkedIn, and Vimeo, with case studies from Foresight (autonomous driving), Elbit Systems (defense), SeeTree (agriculture), and iMerit (NLP/ASR). The company raised approximately $49M across three funding rounds ($5M seed 2019, $11M Series A 2020, $33M Series B 2022 led by NGP Capital and Alpha Wave Ventures) before being acquired by Dell Technologies in December 2025 for $120M, after which it operates as a wholly-owned subsidiary within Dell's AI infrastructure portfolio.
Dataloop AI firmographics
Firmographics- Name
- Dataloop AI
- Legal name
- Dataloop Ltd.
- Website
- https://www.dataloop.ai
- Company type
- Private
- Founded year
- 2017
- Operating status
- Acquired
- Headcount range
- 51–100 employees
- Short description
- Dataloop AI is an Israel-based data-centric AI development platform that enables enterprise teams to manage unstructured data, orchestrate multimodal AI pipelines, and integrate human feedback into model training across image, video, LiDAR, audio, and text workloads.
- Ownership category
- akta.pro rank
Dataloop AI industry classification
Industry- Product category
- AI Data Management & Annotation Platform
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372)
- akta.pro primary industry
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)
- akta.pro secondary industries
- AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI), Data Platform (Unified Data & Analytics) Suites (HDAEABAD), Data Pipelines for GenAI (Curation, Filtering, Deduplication, Copyright) (HDAAACAJ)
Keywords
Where Dataloop AI is headquartered
LocationHeadquarters
- HQ city
- Herzliya
- HQ country
- Israel
- HQ region
- Middle East
Offices1 record
Markets served
Dataloop AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- Platform Subscription: Enterprise subscription model for AI development platform access with tiered pricing based on usage and team size. Platform available via cloud marketplaces for streamlined procurement.
- Academic Program: Free access for qualified educational institutions with citation requirements. Provides annotation tools, collaboration features, and support for academic research projects.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise Platform - Custom Pricing |
Go-to-market motion3 records
Distribution channels5 records
Marketing channels6 records
Dataloop AI product offering
Product offeringCore offering
Dataloop AI provides an end-to-end AI development platform for managing unstructured data (images, videos, LiDAR, audio, text) and orchestrating multimodal AI pipelines. The platform combines data management, model versioning, pipeline orchestration, human-in-the-loop feedback, and a marketplace of pre-built AI components. It enables enterprises to build, deploy, and operate production-grade AI systems across autonomous driving, generative AI, computer vision, and RAG applications.
Product overview
Dataloop AI Development Platform is an end-to-end, data-centric AI development platform providing a unified platform-plus-modules architecture. The core platform includes Data Management, Models, Pipelines, Applications, Human Feedback, and Marketplace modules. These integrate with major AI ecosystem partners (NVIDIA NIM, Google Cloud/Gemini, Microsoft Azure, Qualcomm AI Hub, IBM watsonx, AWS) for accelerated AI development. Specialized solutions include LiDAR Annotation for 3D data, Active Learning Workflows, GenAI with RLHF/RLAIF, RAG Workflows, AI Agents, GenAI Stack, DataOps, Multi-cloud Compute, and Production AI. Developer access is provided via Python SDK and REST API. The platform processes unstructured multimodal data (images, video, audio, text, LiDAR) and enables 20x faster development with 95% pipeline automation.
Differentiator
Problem solved
Functional benefit
Products and services
- Dataloop AI Development Platform End-to-end AI development platform providing a unified environment for managing unstructured data (images, video, LiDAR, audio, text), orchestrating multimodal pipelines, deploying and fine-tuning models, integrating human-in-the-loop feedback, and accessing a marketplace of pre-built AI components. Sold as a subscription to enterprise AI teams.
- LiDAR Annotation Platform Specialized 3D point cloud annotation solution providing cuboid annotations, polylines, semantic segmentation, sensor fusion, point cloud coloring by height, distance filtering, and linear interpolation for autonomous driving and robotics customers.
Quantifiable outcome
- 20x faster AI development compared to traditional approaches
- +3 more outcomes
Companies that use Dataloop AI
Customer profileNamed customers14 records
Segments9 records
Ideal customer profiles3 records
Dataloop AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration12 records
AI capability16 records
Feature7 records
Dataloop AI partnerships and signals
Strategic signalPartnerships
Ten partnerships are on record, tiered strategic and core.
- MongoDBstrategicIntegration for multimodal AI agent workflows. MongoDB vector search enables semantic similarity for AI support agents. Dataloop's image retrieval combined with MongoDB capabilities enables precise data retrieval for customer service applications.
- AWScoreDataloop available on AWS Marketplace with seamless integration to AWS services including Bedrock, S3, and Lambda. Enables streamlined procurement with existing AWS agreements and subscription plans. Partnership includes AWS GTM Sprint Program for joint go-to-market.
- Qualcomm TechnologiescoreCollaboration to accelerate AI model development for mobile, automotive, IoT, and other computing devices powered by Snapdragon platforms. Combines Dataloop's automated AI lifecycle platform with Qualcomm's AI Hub for on-device deployment.
- QualcommcoreCollaboration integrating Qualcomm AI Hub with Dataloop's platform for edge AI deployment. Enables developers to customize and fine-tune models with own data, then deploy on Snapdragon-powered devices. Streamlines cloud-to-edge AI development for mobile, automotive, and IoT platforms.
- Google CloudcoreGraduation from Google Emerging Partner Springboard Program. Dataloop available on Google Cloud Marketplace. Full integration of Gemini models on Dataloop platform for GenAI data prep, fine-tuning, summarization, and multi-modality workflows. Seamless integration with Google Kubernetes Engine and Google Cloud Storage.
- IBMstrategicIntegration with IBM watsonx.ai Foundation Models including Granite and Merlinite models. Enables streamlined RAG, RLHF, and GenAI pipeline deployment. Partnership part of IBM for Startups and IBM Partner Plus programs.
- Microsoft AzurecoreIntegration with Azure AI Studio Model as a Service and Azure AI Video Indexer. Dataloop available on Azure Marketplace with streamlined procurement. Partnership part of Microsoft for Startups Pegasus Program for go-to-market acceleration. Enables access to Azure AI models directly within Dataloop platform.
- Carahsoft Technology Corp.strategicPartnership to accelerate AI data readiness for government agencies. Carahsoft serves as Trusted Government IT Solutions Provider enabling Dataloop access to government sector customers.
- Getty ImagesstrategicGetty Images app integration in Dataloop Marketplace providing access to over 140 million commercially-safe images. Enables AI teams to query, curate, and utilize Getty Images' creative collection for machine learning datasets with full annotation and curation controls.
- NVIDIAcoreStrategic integration with NVIDIA AI Enterprise software including NIM microservices and NeMo Retriever. Dataloop's marketplace features access to NVIDIA API catalog with performance-optimized foundation models. Early access to NVIDIA NIM and NeMo Retriever microservices for text embeddings and LLM optimization. Partnership enables 128x faster NIM adoption and enhanced AI deployment capabilities.
Scale indicators6 records
Recent moves6 records
Expansion highlights7 records
Dataloop AI competitors and assessment
Company assessmentBroad incumbents
- Amazon Web Services (SageMaker Ground Truth): AWS offers SageMaker Ground Truth plus a wide portfolio of data labeling, MLOps, and GenAI services that compete broadly with Dataloop's enterprise AI platform within the AWS ecosystem.
- Databricks: Databricks offers the Data Intelligence Platform with Mosaic AI for data engineering, ML, and GenAI workloads, representing a broader incumbent whose data and ML capabilities overlap with Dataloop's data management and pipeline orchestration.
Direct peers
- Appen: Appen provides data annotation and data-centric AI services for image, text, audio, and video, offering both managed services and platform capabilities that compete with Dataloop's enterprise AI development offering.
- Snorkel AI: Snorkel AI takes a data-centric programmatic labeling approach for enterprise AI, sharing Dataloop's philosophy of treating data as the central AI asset and serving similar enterprise AI teams.
- Scale AI: Scale AI provides data labeling, annotation, and curation services for ML and AI applications, directly competing with Dataloop's core data management and annotation platform across image, video, LiDAR, and text modalities.
- Labelbox: Labelbox offers a data-centric AI platform for labeling, curation, and model evaluation, closely mirroring Dataloop's end-to-end platform for unstructured data and enterprise AI teams.
- Encord: Encord provides a data development platform for multimodal AI including images, video, audio, and medical imaging, directly competing with Dataloop in annotation, curation, and pipeline orchestration.
- V7 Labs: V7 (Darwin) is a training data platform for computer vision and document AI, offering annotation and model training workflows comparable to Dataloop's image, video, and document pipelines.
- SuperAnnotate: SuperAnnotate provides an end-to-end annotation platform for images, video, LiDAR, and text with active learning and model-assisted labeling, overlapping heavily with Dataloop's core platform capabilities.
- Roboflow: Roboflow is a computer vision data platform offering annotation, dataset management, and model training tools, comparable to Dataloop's image and video annotation and pipeline workflows.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Dataloop AI social profiles
Digital presenceDataloop AI compliance and trust
Trust signalCompliance5 records
Dataloop AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Dataloop AI leadership team
Management profileNumber of profiles
Profiles8 records
Dataloop AI funding detail
Funding detailFunding overview
Funding rounds5 records
Investors10 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Dataloop AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Dataloop AI
What does Dataloop AI do?
Dataloop AI provides an end-to-end AI development platform for managing unstructured data (images, videos, LiDAR, audio, text) and orchestrating multimodal AI pipelines. The platform combines data management, model versioning, pipeline orchestration, human-in-the-loop feedback, and a marketplace of pre-built AI components. It enables enterprises to build, deploy, and operate production-grade AI systems across autonomous driving, generative AI, computer vision, and RAG applications.
Is Dataloop AI a public or private company?
Dataloop AI is a private company. It is classified as corporate owned and is currently acquired.
When was Dataloop AI founded?
Dataloop AI was founded in 2017. It employs 51 to 100 people.
Where is Dataloop AI based?
Dataloop AI is headquartered in Herzliya, Israel, in the Middle East region.
How does Dataloop AI make money?
Two revenue lines are on record. Platform Subscription is the primary driver. The others are academic Program.
Who are Dataloop AI's main competitors?
Broad incumbents on record are Amazon Web Services (SageMaker Ground Truth) and Databricks. Direct peers are Appen, Snorkel AI, Scale AI, Labelbox, Encord, V7 Labs, SuperAnnotate and Roboflow.
Does Dataloop AI have an API?
Yes. Publicly accessible REST API for Machine-to-Machine integrations, enabling bulk data uploads, direct communication with data sources, and production-grade inference. Also available via Python SDK for full flexibility in building custom data pipelines, including model training, active learning, model integration and any other automation function or logic. Developer documentation is at docs.dataloop.ai/docs.
What industry is Dataloop AI in?
Dataloop AI's product category is AI Data Management & Annotation Platform. Its primary akta.pro industry code is HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management), with a secondary code of HDAEANAI, AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI). Its NAICS code is 51821 and its SIC code is 7370.