Honest AiB — VERIFIED AI™
EU and Glass Box Standards
How Honest AiB Works
Works With Any AI
Compatible with ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek, Google AI Studio, and any LLM API. No vendor lock-in, no system changes required.
Complete Audit Trails
Every AI output comes with verifiable sources, confidence scores, and transparency documentation.
CAAi™ Framework
Professional framework in place to comply with or exceed all EU AI standards and regulations.
VERIFIED AI™
THE TRUST LAYER FOR ALL AI
Like TCP/IP for the internet. Like HTTPS for the web.
A foundational protocol that makes AI trustworthy.
• Patent-Protected Architecture
• Includes Professional Certification / Audit Standards
40 Years in Finance.
6 Months to Solve AI's Black Box.
Jon Pearlstone isn't new to spotting risks others miss. As a KPMG alum, he's audited Fortune 500s, built multimillion-dollar consulting firms, and engineered employee benefits that saved companies millions. But in April 2025—amid the EU AI Act's enforcement ramp-up—Jon turned his lens on LLMs.
The Gap He Closed: AI outputs changed facts, hallucinated data, and "improved" content without permission. Existing tools? Band-aids. Jon tested seven major LLMs—ChatGPT, Claude, Gemini, Google AI Studio, Perplexity, Grok, DeepSeek—over six intense months.
What emerged: Honest AiB's patented verification framework. A battle-tested layer that forces AI to show its work—sources, limitations, counter-arguments, full reasoning chains. Already battle-tested by extracting and auditing $10 million of real client legal bills with 99.5% accuracy in text, formatting, financial verification and analysis, extraction, and using client-provided and industry standard (LEDES) audit rules.
"AI's power is real. But without verification, it's an enormous liability. I found a real working solution that can be applied today. Now it's yours to scale."
— Jon Pearlstone, Founder & CEO
Extracted and Audited
to Industry Standards
Full Evidence Chain
Every Output Traceable
LLM-Native
Pure Conversation
ONE MEETING. ONE STRATEGIC PARTNER.
PURSUING THREE MULTI-BILLION DOLLAR MARKETS.
AiBgloss™ Verified Mode
- $15-25B TAM verification services
- Deploy in 90 days
- 5x subscription revenue potential
- Market leader: Trusted AI
grAiL™ Evidence Architecture
- $290B TAM audit services
- Own audit markets
- Traceable outputs
- Market leader: Auditable AI
Compliance grAiL™ EU Standard
- $2-5B TAM EU compliance
- Co-own EU certification
- CAAi™ partnership
- Market leader: Compliance
Your Competitor Gets It
- They launch first
- You're "unverified"
- Customers switch
- Lost $15-25B TAM
Your Competitor Gets It
- They own audits
- You pay THEM fees
- Audit YOUR outputs
- Lost $290B TAM
Your Competitor Gets It
- They own certification
- You pay licenses
- Follow THEIR rules
- Lost $2-5B TAM
PURSUING EU-RECOGNIZED CERTIFICATION. PARTNER TO CO-OWN IT.
• Honest AiB is submitting for EU certification.
• We'd love the right partner to co-own it.
• Partner now to co-own the certification.
• If we succeed independently, you'll pay to license the badge enterprises require.
• Your choice: certification owner or certification customer.
Table of Contents: EU Submission Planned Before December 31, 2025
Partner input welcomed
Executive Summary
- → The Output Verification Gap in Current AI Regulation
- → Methodology Overview and Platform-Agnostic Design
- → Proven Implementation Across 7 Major LLM Platforms
Complete EU AI Act Article Analysis
- → Article 13 — Transparency and Provision of Information to Deployers
- → Article 15 — Accuracy, Robustness and Cybersecurity Requirements
- → Article 19 — Automatically Generated Logs and Audit Trails
- → Article 50 — Transparency Obligations for Providers and Deployers
- → Article 53 — Obligations for General-Purpose AI Model Providers
- → Article 55 — Systemic Risk Assessment and Mitigation for GPAI
- → Article 72 — Post-Market Monitoring and Performance Validation
- → Article 73 — Reporting of Serious Incidents and System Failures
Gap Analysis: System Auditing vs. Output Verification
- → Current EU Requirements Focus on System Design and Documentation
- → The Missing Layer: Real-Time Output Accuracy Verification
- → Why Post-Deployment Verification Is Critical for Compliance
- → Risk Scenarios That Existing Standards Cannot Address
Proposed Output Verification Standards
- → Novel patented architectural approach for output verification
- → Risk classification methodologies
- → Audit trail methodologies meeting or exceeding Article 19 requirements
- → Disclosure methodologies for AI-generated content
- → Platform-agnostic implementation across major LLM systems
- → Professional certification framework
Technical Implementation Guidelines
- → Architectural Design Principles
- → Source Verification Protocols
- → Limitation Identification Methodologies
- → Validation Process Requirements
- → Confidence Assessment Standards
Complete Audit Trail Architecture
- → Compliance with Article 19 Logging Requirements
- → Validation Systems and Methodologies
- → Immutable Record-Keeping Standards
- → Evidence Linkage and Traceability Protocols
Verified Platform Compatibility (Production Testing Complete)
WE'RE HARD AT WORK FOR AN AI POWERED FUTURE
WITH HONEST AIB'S VERIFIED AI™
A comprehensive ecosystem of limitless applications covering every vertical where AI verification matters
30-Day Partnership Evaluation Window
Learn about HONEST AiB AND JOIN FORCES WITH VERIFIED AI!
Schedule your 15-minute meeting now.