Documentation & Resources Portal
Everything you need to integrate, scale, and manage high-quality AI training data pipelines with Loopernode APIs, SDKs, and enterprise platform tools.
Kickstart Your AI Data Pipeline in Minutes
Essential guides and walk-throughs to help your engineering and data science teams configure workspaces and launch annotation workflows.
Platform Overview
Understand the core architecture of Loopernode, our multi-stage dataset pipeline model, automated QA loops, and human-in-the-loop workflows.
Quick Start Guide
Step-by-step tutorial to create your first dataset project, upload raw media assets via API or dashboard, define label taxonomies, and launch labeling.
Account Setup
Configure enterprise workspaces, invite team members, set fine-grained RBAC permissions, generate API tokens, and configure webhook receivers.
Explore In-Depth Guides & Technical Reference
Detailed documentation covering data operations, SDK usage, RESTful APIs, annotation guidelines, and enterprise security compliance.
AI Data Services
Ingest, structure, and optimize raw unstructured data across vision, text, speech, LiDAR, and sensor modalities for enterprise AI models.
Dataset Workflow
Design resilient dataset lifecycles with dataset versioning, consensus scoring, active learning loops, and automated pipeline triggers.
Annotation Guidelines
Comprehensive rubrics, class taxonomy definitions, boundary precision rules, and RLHF prompt-response evaluation specifications.
API Integration Guide
Programmatic RESTful APIs for automated batch uploading, asynchronous status queries, taxonomy sync, and callback webhooks.
SDK Overview
Official open-source client libraries and command-line tools for Python, Node.js, and Go with deep ML framework integrations.
Data Security
Enterprise security architecture, SOC 2 Type II compliance controls, zero-retention policies, and HIPAA/GDPR data protection.
Frequently Asked Questions
Clear answers to common questions regarding API integration, sandbox security, rate limits, and cloud deployment.
How do I authenticate API requests with Loopernode?
All API requests require HTTPS and must include a Bearer token in the request header: 'Authorization: Bearer YOUR_API_KEY'. You can issue and revoke API keys from your Organization Settings page.
What are the rate limits for programmatic dataset uploads?
Standard accounts support up to 500 requests per minute with bulk ingestion batching up to 10,000 files per payload. Dedicated tier customers enjoy customized high-throughput limits and private API gateways.
Can we deploy processing nodes inside our own private cloud or VPC?
Yes! Loopernode supports hybrid and fully air-gapped deployments. Enterprise clients can run our processing workers inside AWS VPC, GCP, Azure, or on-premise Kubernetes clusters.
How does Loopernode ensure human-in-the-loop annotator security?
Annotators operate within strictly isolated, browser-based sandboxes with download prevention, session watermarking, screen capture blocking, and automated PII blurring prior to human review.
How do we connect Loopernode directly to our Cloud Storage buckets?
Loopernode natively integrates with AWS S3, Google Cloud Storage, and Azure Blob Storage via IAM Roles or Service Accounts, permitting direct zero-copy read/write operations for your raw assets.
Technical Specifications & Downloads
Access comprehensive offline documentation, OpenAPI specifications, and security whitepapers.
Enterprise AI Data Quality Whitepaper
An in-depth whitepaper detailing multi-stage quality control algorithms, active learning strategies, and consensus mechanisms for zero-bias dataset curation.
Complete API & OpenAPI 3.0 Specification
Full technical specification including OpenAPI schemas, JSON payloads, response status codes, and ready-to-import Postman collections for rapid testing.
Data Security & Integration Guide
Detailed compliance report covering SOC 2 Type II controls, ISO 27001 policies, HIPAA safeguards, and GDPR data subject request procedures.
Need Custom Technical Assistance?
Our team of AI solutions architects, solutions engineers, and data ops managers are available 24/7 to help design custom pipeline integrations for your enterprise.