Provides AI assistants with accurate Algerian administrative data, including wilayas, communes, postal codes, and phone validation, as well as e-commerce, credential verification, and training tools.
Provides advanced evaluation tools for assessing AI safety, alignment, and performance of LLM outputs. Enables programmatic evaluation of quality, safety metrics like toxicity and PII detection, and operational metrics including carbon footprint and cost estimation.
Provides read-only access to public African language speech corpora, with tools to list, search, cite, and plan de-duplicated training sets while enforcing licence and citation provenance.
Provides AI assistants with a comprehensive computer-vision dataset toolkit for analyzing, curating, augmenting, and exporting datasets, including label error detection and automatic publishing.
Integrates data labeling workflows with AI IDEs via 12 tools, 6 resources, and 3 prompt templates, enabling LLM-assisted pre-labeling, inter-annotator agreement analysis, and conflict adjudication.
Multi-dimensional data quality validation and statistical anomaly detection for LLM training data, with auto-fix pipeline and MCP tools for AI IDE integration.