Our Mission

Define, automate, and trust your data rules — from source to delivery.

CureData turns raw information into trusted, compliant, and actionable intelligence. Teams compose reusable rules—from formats and enums to cross-field logic and uniqueness— then run fast, auditable checks with clear results.

  • Deterministic & auditable results
  • Schema-aware & cross-field logic
  • Works with CSV / XLSX / JSON
  • Private-by-default (Phase 1)
Statement

CureData empowers organizations to define, automate, and enforce their own data rules — transforming raw information into trusted, compliant, and actionable intelligence.

Focus
Validation
Style
Declarative
Scope
Columns → Dataset

Principles

The values that shape our product decisions and defaults.

Deterministic & Auditable

Rules run the same way every time, producing explainable, exportable results.

Composable

Small, focused rules that combine into business-grade validations.

Transparent

Readable JSON & TypeScript snippets—no black boxes.

Performant

Client-first, streaming progress, and profiling insights for fast feedback.

Private by Default

Phase 1 is client-only; Phase 2 adds external lookups with clear controls.

Interoperable

Bring your CSV/XLSX/JSON today. Add HTTP/SQL/Snowflake references tomorrow.

How it works

  1. 1
    Source — Upload CSV/XLSX (or JSON) or start with a blank schema.
  2. 2
    Rules — Add required, type, enum, regex, range, date order and more.
  3. 3
    Run & Report — See KPIs, column profiling, and exportable issue CSV.
Formats
CSV/XLSX/JSON
Scope
Column→Cross-field
Export
CSV Issues

Roadmap

  • Phase 1
    Local Rules (Current)
    Client-only validation, profiling, packs, and export.
  • Phase 2
    External Sources
    HTTP/SQL/Snowflake/CSV references with TTL cache & timeouts.
  • Phase 3
    Pipelines & Scoring
    Weighted severities, data quality scores, and CI hooks.