Khaonix
Patent-pending synthetic data engine for document intelligence.
Train high-accuracy models without using real or sensitive documents.
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The Problem
Building reliable document AI is difficult:
- Access to real documents is limited
- Privacy and compliance requirements add operational friction
- Anonymized samples are incomplete and inconsistent
- Real-world data cannot cover all layouts or edge cases
- High-quality training data is slow and costly to obtain
These challenges are most visible in domains that rely on sensitive, semi-structured documents, like HR, payroll, finance, and other regulated areas.
Organizations want AI, but not at the expense of security, privacy, or accuracy.
Organizations want AI, but not at the expense of security, privacy, or accuracy.
The Khaonix Engine
Core principles:
- Structured synthetic documents: High-quality documents generated with full internal consistency, allowing training without exposing personal or sensitive data.
- Privacy by design: No sensitive data required, removing the dependency on real documents from the start.
- Built-in validation: Ensures quality and consistency throughout the process.
- System-agnostic architecture: Works across formats, languages, layouts, and existing systems.
Why it works
- Full control over data quality: Every synthetic sample is internally consistent and traceable.
- Rich variation, no limitations: Layouts, languages, and edge cases can be generated on demand.
- Measurable performance: Accuracy improves through structured, repeatable refinement.
- Transparent by design: The entire process is observable, explainable, and audit-friendly.
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First vertical of the Khaonix Engine:PayrollCompare AI
A neutral, system-independent payroll audit application built to showcase the engine’s performance on sensitive and structured HR documents.
What it does:
Pilot inquiries:
kees@khaonix.ai
What it does:
- Extracts structured information from two sets of payslips and highlights all differences.
- Works across payroll systems, formats, layouts and languages
- Provides the first demonstration of a broader document-AI platform
Pilot inquiries:
kees@khaonix.ai
