NEWELYS / AI DATA OPERATING SYSTEMSEOUL HQENTERPRISE · PUBLIC · VERTICAL AI

TECHNOLOGY

Govern every moment
data is used by AI.

Six connected technology domains span source connection, productization, policy control, secure use, and lifecycle operations.

Original data connection

Installed connectors link files, CMS, databases, groupware, and internal documents. Originals stay inside the enterprise environment while only location references, hashes, permissions, and state metadata are structured.

  • Minimized source movement
  • Integration with enterprise permissions
  • Continuous tracking of changes and deletion
Original data connection

AI data productization

Scope, quality, de-identification status, sample policy, pricing, and usage rights are assembled into one governed product. Buyers can review conditions while providers can update and republish.

  • Product cards and manifests
  • Sample policy and pricing
  • Version updates and republication
AI data productization

Trust and rights validation

Provenance, licensing, de-identification, quality, and policy consistency are validated together. Results determine whether delivery is public, restricted, or cleanroom-based.

  • Trust Score-based delivery mode
  • Metadata leakage and rule detection
  • Policy conflict validation
Trust and rights validation

Purpose-based AI rights control

Reading access and AI execution rights are separated across RAG, evaluation, training, download, and export. Every request is revalidated by user, organization, region, time, and policy version.

  • RAG-only and Eval-only rights
  • No-train and No-download enforcement
  • Query-time revalidation
Purpose-based AI rights control

Secure RAG, evaluation, and data rooms

Secure environments support search, evaluation, review, and analysis without directly exposing sensitive sources. Output and export are also controlled by policy.

  • Permission-aware RAG rooms
  • Industry evaluation sets and scoring
  • Cleanroom review and restricted outputs
Secure RAG, evaluation, and data rooms

Lifecycle, settlement, and audit

Usage, contribution, settlement, updates, deletion, revocation, renewal, and reapproval are managed in one auditable history, with source-state changes propagated downstream.

  • Usage and contribution settlement
  • Deletion and revocation propagation
  • Change notice and buyer reapproval
Lifecycle, settlement, and audit

Explore an architecture tailored to your data and environment.

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