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 →Stable, org-scoped IDs assigned from an object’s key fields so the same entity dedupes across enrichments, languages, and time — entity resolution built in.
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, paced under each provider key's rate budget, with 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.