DataQualifyUNSTRUCTURED

The full platform

Every module, one platform.

Thirty-plus modules across nine suites take a document from raw file to autonomous-agent-ready knowledge. Every module works standalone or as part of an end-to-end pipeline — connect a source once and the whole platform goes to work.

01

Overview

2 modules

Your starting point — a welcome workspace and an executive scorecard that tells you, at a glance, how AI-ready your whole document estate is.

🏠

Home

An AI-powered welcome workspace. Ask questions about your corpus in plain language and jump into any module from a visual explorer.

  • ✓Conversational AI welcome chat
  • ✓Visual module explorer
  • ✓Live LLM & source status
app.dataqualify.io/unstructured
Readiness Dashboard
📊

Readiness Dashboard

An executive scorecard of AI-readiness across the entire corpus, with trend charts and a heat-cell breakdown of every readiness dimension.

  • ✓Overall readiness score 0–100
  • ✓Seven dimension breakdown
  • ✓Analyzed vs. pending counts
02

Documents

3 modules

Connect every document source, then browse, preview and search your whole corpus from one place — no matter where the files actually live.

🔌

Document Sources

Connect and continuously sync enterprise document sources and DMS platforms. Track document counts, sync status and health per connector.

  • ✓SharePoint, S3, Drive, DMS & more
  • ✓Scheduled continuous sync
  • ✓Per-source counts & health
app.dataqualify.io/unstructured
Document Explorer
🗂️

Document Explorer

Browse and tree-navigate every ingested document, with inline preview for PDF, DOCX, PPTX, XLSX and Markdown right in the browser.

  • ✓Folder tree navigation
  • ✓Inline multi-format preview
  • ✓Filter by type & classification
🔍

Global Search

Search the entire corpus in one box — across document content and metadata — and jump straight to the source file.

  • ✓Full-corpus content search
  • ✓Metadata-aware results
  • ✓Instant jump to document
03

AI Readiness

PRO4 modules

The core of the platform: score every document for how ready it is to feed a model, then drill into chunks, issues and corpus-wide patterns.

app.dataqualify.io/unstructured
Document Analysis
🎯

Document Analysis

Per-document readiness scoring across seven dimensions — parsability, completeness, consistency, freshness, clarity, structure and metadata — with a full drill-down report per file.

  • ✓Seven-dimension scoring
  • ✓Rule-based or AI-assisted
  • ✓Detailed per-document report
🧩

Semantic Explorer

Inspect how a document is chunked and embedded. Explore its semantic structure to understand exactly what a retrieval system will see.

  • ✓Chunk & embedding view
  • ✓Semantic structure map
  • ✓Per-document deep dive
app.dataqualify.io/unstructured
Issue Explorer
⚠️

Issue Explorer

Every readiness issue found across the corpus in one aggregated view, filterable by type and severity so you fix the highest-impact problems first.

  • ✓Aggregated issue list
  • ✓Filter by type & severity
  • ✓Prioritized remediation
app.dataqualify.io/unstructured
Corpus Insights
📈

Corpus Insights

Corpus-wide analytics that reveal readiness patterns across all documents — where quality clusters, which folders lag, how readiness trends over time.

  • ✓Corpus-wide analytics
  • ✓Readiness pattern clusters
  • ✓Trends over time
04

Governance

6 modules

Prove ownership, catch contradictions and keep a full history. Everything you need to trust — and defend — the documents feeding your AI.

app.dataqualify.io/unstructured
Document Catalog
📚

Document Catalog

A governed catalog of every document with ownership, classification and metadata coverage tracked and enforced.

  • ✓Ownership & stewardship
  • ✓Classification labels
  • ✓Metadata coverage tracking
app.dataqualify.io/unstructured
Governance Dashboard
🛡️

Governance Dashboard

Your metadata governance posture at a glance — ownership gaps, versioning status and classification completeness across the corpus.

  • ✓Ownership gap detection
  • ✓Versioning status
  • ✓Classification completeness
app.dataqualify.io/unstructured
Ambiguity Detection
⚖️

Ambiguity Detection

Automatically detects ambiguities, contradictions and stale or conflicting statements across documents before they mislead a model.

  • ✓Contradiction detection
  • ✓Stale-content flags
  • ✓Cross-document conflicts
🕓

Scan History

A complete history of ambiguity scan runs, with results and diffs so you can see what changed between scans.

  • ✓Every scan run logged
  • ✓Result comparison
  • ✓Re-run on demand
app.dataqualify.io/unstructured
Document Lineage
🕸️

Document Lineage

Visualize relationships, versions and derivation lineage across the corpus — see which documents descend from which, and what changed.

  • ✓Version & relationship graph
  • ✓Derivation lineage
  • ✓Impact tracing
app.dataqualify.io/unstructured
Audit Trail
📜

Audit Trail

A chronological, tamper-evident log of every action and change across the platform, ready for compliance review.

  • ✓Every action logged
  • ✓User & timestamp
  • ✓Compliance-ready export
05

Agent Readiness

NEW2 modules

Beyond RAG: measure whether documents are reliable enough for autonomous agents to act on, and test retrieval live before you ship.

app.dataqualify.io/unstructured
Agent Readiness
🤝

Agent Readiness

Scores whether documents are trustworthy and unambiguous enough for autonomous AI agents to consume and act on without a human in the loop.

  • ✓Agent-trust scoring
  • ✓Reliability thresholds
  • ✓Blocks risky documents
app.dataqualify.io/unstructured
RAG Playground
💬

RAG Playground

An interactive retrieval-augmented-generation testbed. Ask questions over your corpus, inspect the retrieved chunks and evaluate answer quality.

  • ✓Chat over your corpus
  • ✓Inspect retrieved sources
  • ✓Answer evaluation mode
06

AI Agent

NEW4 modules

Put the platform on autopilot. Compose multi-step agents that parse, score and remediate documents on their own — and watch every run.

app.dataqualify.io/unstructured
Command Center
🚀

Command Center

The operational hub for agentic document pipelines. Launch runs, monitor progress and review results step by step in real time.

  • ✓Launch & monitor pipelines
  • ✓Real-time run status
  • ✓Step-by-step results
🧱

Agent Builder

A visual, drag-and-drop step builder to compose custom multi-step agent pipelines from parsing, scoring and remediation blocks.

  • ✓Drag-and-drop steps
  • ✓Reusable pipeline templates
  • ✓Branch & condition logic
📼

Pipeline History

Every past pipeline run with status, duration and results, so you can audit, compare and re-run.

  • ✓Full run history
  • ✓Status & duration
  • ✓One-click re-run
🧭

Agent Guide

Guided onboarding that explains what agents can do and walks you through building your first pipeline.

  • ✓Capability overview
  • ✓Step-by-step onboarding
  • ✓Best-practice recipes
07

Data Types

1 module

Real documents are messy mixes of text, tables and images. This suite handles all of it in a single, coherent pass.

🔀

Multi-Type Analysis

Analyze mixed-content documents — text, tables, images and spreadsheets — in one pass, with each modality scored appropriately.

  • ✓Text, tables, images, sheets
  • ✓Per-modality scoring
  • ✓Single unified report
08

Settings

6 modules

Tune every knob: the rules that score documents, the prompts and LLMs behind the AI, and the integrations that push data out.

📏

Analysis Rules

Configure the rule engine that drives readiness and quality checks — thresholds, weights and which dimensions matter for your use case.

  • ✓Custom rule thresholds
  • ✓Dimension weighting
  • ✓Enable / disable checks
✍️

Prompt Settings

Manage the LLM prompts used by every analyzer, with versioning so you can tune quality without touching code.

  • ✓Per-analyzer prompts
  • ✓Prompt versioning
  • ✓Test before applying
🧠

LLM Settings

Configure LLM providers — Ollama, OpenAI, Gemini, OpenRouter, LM Studio and local models — and set defaults per task.

  • ✓Cloud & local providers
  • ✓Per-task model choice
  • ✓Local / air-gapped option
🔗

Webhooks

Push platform events to your own systems with outbound webhook integrations.

  • ✓Event-driven webhooks
  • ✓Custom endpoints
  • ✓Delivery retries
🔑

API Keys

Create and manage programmatic API keys to drive the platform from your own pipelines and tools.

  • ✓Scoped API keys
  • ✓Rotate & revoke
  • ✓Programmatic access
app.dataqualify.io/unstructured
AI Observability
📡

AI Observability

Full visibility into LLM and rule executions — token usage, latency and per-document rule and AI observability.

  • ✓Token & cost tracking
  • ✓Latency metrics
  • ✓Per-document traces
09

Administration

3 modules

Enterprise access control — request-and-approve permissions, users and a full role matrix, shared with DataQualify.

🙋

Access Requests

A request-and-approve workflow: users ask for access to sources or modules, and admins grant it with a full trail.

  • ✓Self-service requests
  • ✓Approval workflow
  • ✓Audited grants
👥

Users

Manage users across the platform — shared with DataQualify so one identity works across both products.

  • ✓Shared user directory
  • ✓SSO-ready identities
  • ✓Activity overview
🧩

Roles

Define roles and a fine-grained permission matrix, mapping exactly what each role can see and do.

  • ✓Role definitions
  • ✓Permission matrix
  • ✓Least-privilege by default

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