The Problem
80% Of AI Project Time Goes Into Data Preparation
PDFs, Word files, InDesign layouts, domain-specific formats—your most valuable knowledge lives in structures machines cannot understand. Tables are shredded, hierarchies disappear, cross-references get lost.
70% Structure Loss
Standard parsing destroys the logical structure of your documents. Tables, lists, hierarchies—all of it becomes unusable text soup.
6+ Months Of Development Time
Building robust document pipelines yourself costs time, nerves, and keeps your best engineers tied up with infrastructure instead of product.
90% Of RAG Hallucinations
Poor document preparation is the number-one cause of hallucinating AI. Garbage in, garbage out.
The Solution
An API For True Document Understanding
AxioSense analyzes complex documents semantically and structurally—tables, hierarchies, and cross-references stay intact. The result: AI-ready data in minutes instead of months.
Structure-Preserving Extraction
Tables, lists, hierarchies, section structures—AxioSense detects and preserves your document logic, no matter how complex the layout.
Semantic Linking
Cross-references between standards, SOPs, and requirements are detected automatically and mapped as machine-readable relationships.
Scales To Thousands Of Documents
Robust batch processing for huge document collections. Tested with corpora of 50,000+ documents.
On-Premises Or Private Cloud
Full control over your data. Deploy inside your infrastructure—no dependency on external cloud services.
Use Cases
How Teams Use AxioSense
RAG & Retrieval
High-Precision RAG On Complex Documents
Standard RAG fails on technical documentation: tables turn into gibberish, hierarchies vanish, context is lost. AxioSense delivers chunking-optimized structures that drastically improve retrieval quality.
Technical Documentation
Manuals
Guidelines
Knowledge Graphs
Semantic Linking Of Standards & SOPs
Standards reference other standards. SOPs point to requirements. In-house standards extend DIN norms. AxioSense identifies these relationships automatically and builds a knowledge graph that enables navigation and impact analysis.
DIN/ISO Standards
In-House Standards
SOPs
Requirements
Content-Transformation
Convert Layout Data Into Structured Formats
Transform PDF, InDesign, or Word content into industry formats such as DITA, S1000D, or NISO STS. AxioSense understands the semantic structure and maps it to your target schema—automated and fully auditable.
DITA
S1000D
NISO STS
XML
Integration
In Your Pipeline Within Days, Not Months
1
Send Documents
REST API call with your PDFs, Word documents, or InDesign exports. Batch upload for massive collections.
2
Analyze & Structure
AxioSense analyzes layout, semantics, and references. The result: structured JSON/XML data with the hierarchy preserved.
3
Use The Data
Structured data for RAG, knowledge graphs, search indexes, or any downstream application.
Who Is It For?
Built For Teams Creating AI Applications
Data Engineering
Robust pipelines for document processing. No custom parsers, no debugging edge cases.
- Batch-Processing API
- Structured JSON/XML Outputs
- Webhook Integration
ML/AI Teams
High-quality training data and RAG-optimized chunks. Fewer hallucinations, higher retrieval quality.
- Chunking-Optimized Structures
- Preserved Metadata
- Reference Tracking
Product Development
Document intelligence as a feature inside your product. White-label ready, API-first.
- White-Label Deployment
- Multi-Tenant Ready
- SLA Options
Let's Talk About Your AI Potential
Book your complimentary intro call—we look forward to the conversation!
