Enterprise-grade platform for ethically sourced, high-quality AI training data
Shaip Cloud is a comprehensive data management platform designed to empower AI and machine learning initiatives with high-quality, ethically sourced training data. The platform centralizes data collection, annotation, processing, and quality assurance through a modular architecture comprising Shaip Manage (data governance), Shaip Work (crowdsourced labeling), and Shaip Insights (analytics). By streamlining the entire data pipeline, Shaip Cloud enables organizations to train robust ML models faster while maintaining ethical standards and regulatory compliance. The platform supports diverse data types including images, audio, text, and video across multiple industries. AiDOOS marketplace integration enhances deployment flexibility, allowing enterprises to scale data operations on-demand, optimize resource allocation through flexible staffing models, and integrate specialized data expertise into governance workflows, ensuring superior model performance and responsible AI development.
Labeling perception data (images, point clouds, radar) for self-driving car training. Shaip Cloud enables rapid annotation of road scenarios, pedestrians, and environmental conditions at scale.
Annotating medical imaging datasets (X-rays, MRIs, CT scans) for diagnostic AI development. Ensures HIPAA compliance while maintaining high accuracy standards.
Text annotation, intent classification, and entity recognition for NLP model training. Supports multilingual datasets across diverse industries.
Image classification, object detection, and semantic segmentation for retail, manufacturing, and security applications.
Using Shaip Cloud to continuously label production data for model monitoring and retraining pipelines.
Shaip Cloud pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Modular architecture for end-to-end data governance
Centralized control over collection, processing, and quality assuranceResponsible sourcing aligned with regulatory standards
Ensures compliance with GDPR, CCPA, and industry regulationsMulti-format labeling for diverse data types
Supports images, audio, video, and text with specialized toolsAutomated and manual QA processes ensure accuracy
Achieves 98%+ annotation accuracy through multi-level reviewFlexible crowdsourced and managed teams
Scale annotators from 10 to 10,000+ on-demandReal-time monitoring and performance metrics
Track project progress, quality metrics, and cost efficiencyAiDOOS-verified review data is collected after deployment. Deploy this product and be among the first to share your experience.
Direct integration for seamless data pipeline connection to AWS ML services
Native integration enabling data transfer and model training workflows
Azure-native deployment and data pipeline orchestration
Workflow orchestration for automated data processing and annotation pipelines
Enterprise data governance and metadata management integration
Team notifications and project milestone alerts
Project tracking and issue management for annotation workflows
Advanced analytics and visualization of data quality metrics
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