Everything you need for AI-powered entity enrichment — from schema generation to batch export.
Paste any JSON. AI generates a typed schema with expertise domains, search keys, and multilingual fields — with up to 6 self-correction attempts.
Modify your schema by typing “add a parent_company reference” — AI applies the change and suggests 5 improvements.
Drag-drop property tree with expertise grouping, inline editing, keyboard navigation, undo/redo, and auto-save.
Type correctness, $ref integrity, expertise assignment — all enforced automatically so the LLM self-corrects before you see results.
Schema splits by domain (financial, regulatory, general). Each expertise runs as a parallel LLM call for deeper, specialized results.
A cheap LLM classifies the entity type before enrichment, preventing hallucination when entities don’t match the schema.
Model validation catches LLM quirks at runtime — indexed dicts become arrays, string nulls become real nulls, required fields trigger retries.
Enrich in 40 languages simultaneously. Multilingual fields are wrapped as language dictionaries with per-language values.
Learn more →Run 2+ LLM models in parallel. Compare results field by field before merging.
Type-aware comparison: exact match for scalars, per-language for multilingual, set comparison for arrays, recursive for objects.
Rule-based merge (majority vote, median, union) or LLM arbitration with reasoning, confidence levels, and full audit trail.
Enrich up to 100 entities simultaneously with per-provider rate limiting and real-time SSE progress.
Pull entities from any REST API with bearer, API key, or basic auth. Auto-extracts arrays from response wrappers.
Three-sheet workbook: Results (one row per entity), Summary (metadata and costs), Conflicts (resolution details).
Cancel with graceful in-flight completion. Retry only failed entities. Cost estimation before starting.
Programmatic access with OpenAPI docs. Organization keys with role-based permissions for service-to-service integration.
Time-series charts, provider breakdown, per-model performance stats. Track spending across all operations.
Organization isolation with four roles (admin, owner, editor, operator). Per-org LLM provider keys with usage tracking.