Enterprise TruthOps Platform

Your AI didn't
create the mess.
It just stopped hiding it.

Policy updates, new hires, acquisitions — contradictions have been building in your docs for decades. AI agents don't invent wrong answers. They inherit yours, then broadcast them at scale.

🔍 Run a Free Scan — See Your Conflicts How Verace Works ↓
72%
RAG projects fail
due to dirty data
$67B
Lost to knowledge
conflicts in 2024
60%
Enterprise AI failures
caused by data quality
The Problem

The mess existed
before AI arrived.

A manager updates a pricing policy — the old version stays live. A new hire writes an FAQ — nobody checks what exists. An acquisition adds 40,000 documents — nobody reconciles them. This is human nature. It has been happening in every company, every day, for decades.

Before AI: a wrong answer was one support ticket. One recoverable mistake. The cost was diffuse. With AI agents, that same conflict now runs 24/7, at full confidence, across every customer touchpoint. The buffer is gone.

// Real-World Cascade: One SLA Conflict
"15 min response" vs "30 min"
× 5 AI agents consuming both docs
→ 5,000 wrong answers per month
= Exposure per incident
$50K – $200K
Live Conflict Detected ⚠ Severity: Critical
Confluence — SLA Policy v2.1
Support ticket response time: 15 minutes
VS
SharePoint — Support Guidelines 2024
Guaranteed first response: 30 minutes
⚡ NLI Contradiction Score: 0.97 — 5 agents consuming both documents
Which answer does your AI give the customer?
"Your ticket will be answered within 15 minutes."
"Expect a response within 30 minutes."
It depends on which document gets retrieved. Every time. Randomly.
The Gap No Vendor Fills

Everyone optimizes
their own platform.

Microsoft won't clean Confluence. Atlassian won't clean SharePoint. The conflicts live at the seams — and they're invisible to everyone except Verace.

Microsoft Copilot
Optimizes within Microsoft 365. Will never analyze Confluence or Google Drive — that would strengthen competitors.
Atlassian Rovo
Excellent for Confluence-internal consistency. Cannot see SharePoint, Drive, or cross-platform conflicts.
Data Governance Platforms
Collibra, Alation — focus on metadata and lineage, not semantic contradictions inside document content.
Google Gemini
Won't cross the boundary into Microsoft Graph API. Platform lock-in is a feature for them, not a bug.
RAG Optimization Tools
Better chunking and embeddings help you find documents faster — including contradictory ones.
Manual Review
With 50,000 documents and 7,500 potential conflict pairs, this physically cannot scale.

Verace: The Neutral Arbitrator

No platform allegiance. Equal OAuth 2.0 access to Confluence, SharePoint, Google Drive, Zendesk, and Notion simultaneously. The only solution that sees the full conflict picture — across your entire knowledge stack.

The Switzerland of Data
The TruthOps Cycle

A closed loop.
Not a one-time scan.

Verace doesn't just find problems and leave. It closes the loop — from detection to resolution to continuous verification.

01
Continuous Scan
Daily or webhook-triggered ingestion from all connected platforms via OAuth 2.0. Incremental — only changed documents.
02
ML Detection
5-stage pipeline (L0–L4): deduplication → Leiden clustering → claim extraction → NLI contradiction scoring → GPT-4o final judgment. 98% accuracy.
03
Guided Remediation
Conflicts routed by severity to document owners, domain experts, or compliance officers. Full audit trail of every decision.
04
Verification
Every resolution is re-verified on the next scan. Truth Score assigned to each document (0–100) across 8 components.
05
Drift Monitoring
Cryptographically signed snapshots lock verified state. Alerts fire the moment a resolved conflict re-emerges.
Performance: 50,000 document corpus
20 min
Full corpus scan
98%
Detection accuracy
-98%
Compute cost reduction
13
Cascade filters for precision
Truth Score

Every document
gets a score.

Verace assigns each document a Truth Score from 0–100 using an 8-component deterministic formula: tier hierarchy, temporal freshness, governance status, usage signals, provenance, graph trust propagation, entropy, and spectral analysis.

Documents are then zoned. Your RAG system can finally distinguish which knowledge is safe to use — and which requires human review first.

TRUSTED
Safe for RAG. No conflicts, verified provenance, high governance score.
V ≥ 0.45
CONTESTED
Requires human review before use in high-stakes contexts.
V ≥ 0.18
LOW
Not recommended. High conflict density or outdated data.
V ≥ 0.06
VOID
Exclude from RAG immediately. Critical quality issues detected.
V < 0.06
Truth Score Components (8-factor formula)
Tier Hierarchy
35%
Temporal Freshness
15%
Governance Status
15%
Usage Signal (RAG citations)
10%
Provenance
10%
Graph Trust Propagation
10%
Conflict Neighborhood Entropy
3%
Fiedler Spectral Position
2%
Knowledge Value Formula
V(d) = S(d) × T(d) × (1 − C(d))
Signal strength × Trust score × (1 − Conflict density). ISO 25012 compliant.
Return on Investment

The math is simple.

The cost of unresolved knowledge conflicts compounds with every AI agent you deploy. Here's what Verace prevents.

$1.8M/yr
False Positive Savings
Eliminated from manual conflict review for a 5,000-pair enterprise corpus. From 2,812 false escalations prevented per scan × 52 scans.
90%
LLM Cost Reduction
From $7,800/yr to $780/yr on LLM judge calls. The InfoPerCost optimizer stops you from using GPT-4o on pairs that don't need it.
$125K/yr
Staff Time Recovered
For a 500 knowledge worker org. TRUSTED documents no longer need manual verification before acting on AI outputs.
ICP-1
Mid-Market SaaS
3k docs · Zendesk + Confluence · 1 support bot
Wrong answers cost $13K/yr
Customer churn risk $20–30K/yr
Net value (Codex S) +$3–13K/yr
ICP-2
Enterprise Multi-Platform
50k docs · Confluence + SharePoint · 5 AI agents
Critical incident risk $50–200K/yr
Staff efficiency gain $125K/yr
Net value (Continuous) +$19–169K/yr
ICP-3
M&A Due Diligence
15k docs · Pre-close risk assessment · One-time
Hidden SLA risks $2–5M
Valuation impact 10–20% deal size
Protected deal value $5–10M+
Is Verace Right For You?

Built for multi-platform
AI-powered enterprises.

Verace is not for everyone. Here's how to know if it's the right priority for you right now.

✓ You Need Verace Now

✓
You run knowledge across 2+ platforms (e.g., Confluence + SharePoint) with no cross-platform conflict detection in place
✓
You have AI agents deployed — RAG systems, support bots, sales copilots, internal chatbots — or plan to in the next 6 months
✓
You operate in a regulated industry (financial services, healthcare, legal, SaaS with enterprise SLAs) where contradictions create compliance risk
✓
You've had incidents — wrong pricing quoted, incorrect HR policy communicated, engineering runbook errors — that traced back to conflicting documentation
✓
You're running M&A due diligence and need quantified knowledge risk before closing

— Maybe Wait

—
You're on a single knowledge platform — your vendor's native tools will handle this
—
You have no AI agents and no plans to deploy — and you have a small, single-platform knowledge base with manual review still feasible
—
Your knowledge base is under 1,000 documents — manual review is still feasible at this scale
—
You don't have a designated knowledge management owner or the organizational capacity to act on conflict resolutions
Integrates with your full knowledge stack
📘
Confluence
🔷
SharePoint
📁
Google Drive
🎫
Zendesk Soon
📓
Notion Soon
Pricing

Start with a free scan.
Scale when it's proven.

No commitment required to see your conflicts. The free scan shows you exactly what you're dealing with.

Free
Free Scan
$0
One-time · Up to 5,000 docs
✓ Top-20 critical conflicts
✓ Pollution Map visualization
✓ Conflict severity distribution
✓ Estimated remediation scope
Request Free Scan →
Subscription
Codex
Up to 5,000 pages · 500 TruthKeys
✓ Continuous scanning & monitoring
✓ Full remediation workflow
✓ Dashboard + API access
✓ CSV / JSON export
✓ Up to 2 platform sources
Talk to Us →
Most Popular
Enterprise
Continuous
Unlimited TruthKeys · 50K+ pages
✓ Everything in Codex
✓ 3+ platform cross-scanning
✓ Signed Snapshots (audit-grade)
✓ Truth Registry API
✓ Dedicated support & onboarding
Talk to Us →
One-Time
Due Diligence
One-time · M&A / Investment
✓ Deep scan for M&A / investment
✓ Comprehensive risk assessment
✓ Remediation cost quantification
✓ Executive summary for decision-makers
Talk to Us →
Security & Compliance

Your data never leaves
your control.

Read-only OAuth 2.0 access. No passwords stored. GDPR-compliant EU infrastructure. On-premise deployment available for regulated industries.

🔐
Read-Only Access
OAuth 2.0 scopes are read-only. Verace never writes to your systems.
🇪🇺
GDPR Compliant
Hosted on Hetzner Germany (nbg1). EU data stays in EU. 99.9% SLA.
🏠
On-Premise Option
Docker Compose deployment for full data sovereignty in regulated industries.
🔒
Encrypted at Rest
Fernet AES-128-CBC + HMAC-SHA256. Tokens never stored in plaintext.
📋
Full Audit Trail
Every scan, conflict, and resolution decision logged with timestamp and user ID.
🏛️
Multi-Tenant Isolation
JWT-enforced tenant_id on every query. Zero cross-tenant data leakage.
30-Minute Setup. Results in 1 Hour.

See your knowledge
conflicts before
your customers do.

Connect your knowledge base. Run the free scan. Get a Pollution Map showing exactly where your AI agents are at risk — no commitment, no credit card.

🔍 Request Your Free Scan Book a Demo Call ↗
Email us at contact@verace.ai with subject "Free Scan Request [Company Name]" — we respond within 24 hours.