Features That Make
Enterprise AI Possible
Sub-second ingestion, zero hallucination architecture, model-agnostic design, and cross-document intelligence with SHA-256 evidence chains.
Core Features
Sub-Second Ingestion
150x faster than traditional OCR. Parallel field extraction, pre-compiled templates, streaming pipelines, and edge caching deliver 0.3s average processing.
Zero Hallucination Architecture
Every extracted field has exact pixel coordinates. SHA-256 cryptographic hashing links outputs to sources. Human verification gates ensure 100% accuracy.
Model Agnostic Design
Your knowledge graph is stored independently. Switch between OpenAI, Anthropic, Google, or any provider without re-processing documents or losing data.
Cross-Document Intelligence
Dependencies tracked as a directed graph. Field changes automatically cascade, detect contradictions, and flag missing referenced documents.
Human-in-the-Loop Verification
AI performs initial detection, humans verify at 100% accuracy where it matters. Conservative confidence thresholds force review when uncertain.
Bring Your Own Storage
Your documents stay in your infrastructure. MergeOn stores only metadata and verification hashes. Complete data sovereignty guaranteed.
Technical Questions
How fast is MergeOn document processing?
Sub-second (0.3s average) vs 45s for traditional OCR. Achieved through parallel extraction, pre-compiled templates, and streaming pipelines.
How does MergeOn prevent AI hallucination?
Structurally: every field has pixel coordinates, SHA-256 hashing links outputs to sources, and human verification gates ensure 100% accuracy.
What does model-agnostic mean?
Your knowledge graph is stored independently. Switch between OpenAI, Anthropic, or Google without re-processing documents.
How does cross-document intelligence work?
Dependencies tracked as a directed graph. Field changes automatically cascade, detect contradictions, and flag missing documents.
Ready to See It In Action?
Request a technical demo and see how MergeOn handles your specific document challenges.
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