End-to-end AI development platform for building, training, and deploying intelligent applications at scale
Dataloop is a comprehensive AI development platform designed to streamline the entire lifecycle of intelligent application creation. It provides developers and data science teams with end-to-end capabilities spanning data preparation, model training, annotation management, and production deployment. The platform combines scalable cloud infrastructure with powerful customization options and collaboration tools, enabling teams to build and deploy AI models faster and more efficiently. Dataloop eliminates fragmentation across traditional ML workflows by consolidating data management, labeling automation, model training, and monitoring in a single unified environment. When integrated with AiDOOS, Dataloop enables enterprises to govern AI development at scale, optimize resource allocation across multiple teams, integrate seamlessly with existing ML stacks, and accelerate time-to-production for mission-critical AI applications.
Build and deploy computer vision applications with comprehensive image annotation, training, and inference capabilities. Teams can manage large-scale image datasets and iterate quickly on model improvements.
Develop NLP models with automated text annotation, entity recognition, and sentiment analysis capabilities. Support for multilingual datasets and complex text processing workflows.
Create and manage datasets for autonomous vehicles and robotic applications. Handle high-volume sensor data annotation and real-time model validation across edge devices.
Centralize AI development governance across multiple teams and projects. Implement consistent compliance standards, data security, and model performance monitoring enterprise-wide.
Dataloop pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Automated and managed data annotation at scale
Reduce labeling time by up to 70% with AI-assisted annotationIntegrated environment for building and training ML models
Support for multiple frameworks and automated experiment trackingOrchestrate complex AI pipelines with visual workflow builder
Eliminate manual steps and reduce deployment cycles significantlyReal-time team collaboration and version control
Improve team productivity and reduce development bottlenecksDeploy models to production with confidence and monitoring
Enable continuous model monitoring and automated retrainingExtensible platform with API-first architecture
Connect with existing enterprise systems and ML infrastructureAiDOOS-verified review data is collected after deployment. Deploy this product and be among the first to share your experience.
Native integration for TensorFlow model training and deployment workflows
Full support for PyTorch model development and experiment tracking
Seamless integration with AWS infrastructure, S3 storage, and SageMaker
Integration with Azure ML, Blob Storage, and enterprise services
Support for GCP services including BigQuery and Cloud Storage
Deploy models as containerized services on Kubernetes clusters
Version control integration for code and model artifacts
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Pay for results, not hours
Clear deliverables at each phase
Access to certified specialists