Installable Connector for Publishing Selected Enterprise Data as AI Data Products
Connects local enterprise sources to a central control plane so selected data can be productized without replacing existing systems or moving source files.
NEWELYS ARCHITECTURE / 2026
Not one feature.
One operating architecture.
Thirty-three architecture modules connect non-transfer data access, productization, purpose-based rights, diligence, model evaluation, settlement and revocation into one continuous AI data operating system.
This page describes the company's solution architecture and filing-ready technology modules. Official filing/registration status and legal scope are governed by patent office records and professional review.
33architecture modules
13foundation systems
20execution controls
8industry models
Non-transfer AI Data Product Manifest
Packages source references, scope, quality, de-identification, rights, price and state into a machine-readable product object while the original data stays in place.
Purpose-based AI Data Usage Policy and Access Enforcement
Separates RAG, evaluation, training, fine-tuning, cleanroom, API, download and export rights, then enforces them inside the actual runtime.
Pre-purchase Review Room and Non-disclosing Due Diligence Package
Lets buyers review metadata, quality, de-identification, rights, safe samples and controlled trials without receiving the original payload.
Usage Metering, Provider Settlement, Revocation Propagation and Audit Events
Measures RAG, API, evaluation and cleanroom usage, connects evidence contribution to settlement, and propagates rights changes through audit-ready events.
Non-export AI Model Evaluation Data Room
Keeps source data and ground truth inside a scorer-only environment, runs buyer models under restriction, and exports only approved metrics and redacted error summaries.
Public-sector AI Evaluation Sets and RAG Performance Improvement
Structures effective dates, evidence, counterexamples, prohibited answers and uncertainty conditions to evaluate the accuracy, safety and explainability of public AI.
Rights-bound AI Data Products for Professional Content and Education
Publishes articles, questions, explanations, courses and association knowledge as governed AI data products while protecting source content, answer keys and revision history.
Insurance OCR and Vision AI Evaluation Sets with Claims Validation
Combines OCR ground-truth fields and accident-image damage labels to validate insurance AI while controlling disclosure and human-review requirements.
DataOps Quality, De-identification and Component Lineage
Tracks readiness, quality, de-identification, review state and the parser, OCR and LLM components used to prepare an operable data product.
Anonymous Legal and HR Data Room with RAG Evaluation Sets
Transforms case material into an anonymized data room and case-type evaluation sets with evidence, usage rights and viewing permissions.
Permissioned AI Data Rooms for Enterprise and Regulated Vertical Data
Uses domain adapters to convert internal documents, VOC, medical imagery, franchise operations and defect records into permissioned data rooms and evaluation sets.
Runtime Licensing, Localization Validation and Marketplace Governance
Converts license scope, jurisdictional rules, export restrictions and change-of-control conditions into enforceable marketplace and runtime gates.
RAG-only, Eval-only and No-train Runtime Rights Broker
Compares declared intent with real API, SDK, job and data-sink signals to enforce RAG, evaluation and training restrictions at runtime.
Point-in-time Contract and Policy Snapshot
Freezes the contract, policy, price, access grant and product state in force at the moment of use as versioned, tamper-evident evidence without retaining source content.
Time-, Scope- and Purpose-limited Access Credential
Issues and validates a non-transferable machine-readable credential defining who may use which data, for what purpose and until when.
Rights-aware Vector Index Inclusion and Exclusion Control
Separates documents, chunks and evaluation items by policy tags and purpose-specific namespaces so only authorized content is searchable at query time.
Metadata Preview Leakage-risk Scoring and Exposure Control
Scores how field names, distributions, rare values, labels and internal paths may reveal source information, then selects public, masked, cleanroom or denied exposure.
Safe Sample Access Package with Leakage Prevention
Applies redaction, synthetic substitution, watermarking, expiry and view budgets to samples, shortened chunks and image crops used in buyer review.
Revocation Propagation Across RAG Indexes, APIs and Caches
Propagates rights withdrawal, contract expiry and de-identification changes to vector indexes, APIs, caches, embeddings, samples and access credentials, blocking residual use.
Provider Settlement Based on RAG Evidence Contribution
Combines retrieval, reranking, context insertion, sentence support and citation signals to calculate source-level contribution and settlement candidates.
Data Product Readiness Scoring and Remediation Task Routing
Calculates purpose-specific readiness from quality, rights, de-identification and metadata, then routes missing work to reviewers and automated pipelines.
External Parser, OCR, De-identification and LLM Component Lineage
Records component version, input and output hashes, configuration and license tags so every transformation can be reproduced and audited.
Public AI Evaluation Manifest for Refusal and Uncertainty Compliance
Combines questions, expected answers, evidence, counterexamples, prohibited responses, uncertainty conditions and scoring rules into one evaluation object.
Insurance OCR Ground-truth Fields and Accident-image Damage Labels
Links normalized document fields, coordinates, image damage regions, types and severity at claim-case level to create governed insurance evaluation sets.
Automated AI Data Product Card Generation and Provider Correction
Creates buyer-facing product cards from metadata and manifests, then records field-level provider approval, correction, rejection and version history.
Consistency Validation Between Product Cards and Usage Policies
Checks that displayed rights, scope, samples, price and de-identification state match the underlying policy and manifest before publication.
Provenance, Rights, De-identification and Quality Trust Scoring
Combines provenance, rights, de-identification, quality and processing lineage into purpose-specific trust vectors and publication gates.
Contract Change Notification and Buyer Reapproval
Analyzes changes in price, purpose, scope, de-identification and settlement terms, then automates role-specific notice, grace periods, reapproval and access holds.
Automated Monthly Rights Renewal, Expiry and Reapproval
Evaluates subscription eligibility, payment, security and policy status to reissue, narrow, suspend or expire recurring access credentials.
Synchronization of Content Deletion, Correction and Revocation Events
Synchronizes content changes with RAG chunks, evaluation sets, samples, access rights, caches and settlement, and records correction, replacement and reindex results.
Legal and HR Case-type RAG Evaluation Sets with Evidence Scoring
Structures facts, issues, mandatory evidence, counterevidence and prohibited responses from anonymized case material to evaluate grounded and safe legal or HR RAG.
Permissioned Enterprise RAG Data Room with Query-time Revalidation
Revalidates department, role, project and employment status on every query so unauthorized documents never enter retrieval, answers, citations or caches.
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