AI That Gets Smarter with Every Document
Traditional automation breaks when formats change. Every new customer or document variant means expensive reconfiguration.Real-time learning from correctionsNo retraining requiredAdapts to new formats instantly
The Challenge
Of edge cases appear across customers and documents
Needed to manually tune models and rules
Adaptability in systems without feedback loops
How does it work?
Process Document
Step 1AI extracts data using its current knowledge base.
Human Corrects
Step 2Operators fix any errors in the extraction results.
AI Learns
Step 3Corrections are applied immediately - no retraining cycles.
Next Doc is Better
Step 4Similar documents are processed with improved accuracy.
One correction. Instantly smarter.
No black box, no retraining. Every change is recorded, explained, and applied to the next similar document. Visible per supplier.
Memory
142
Customer Notes
2.847
Training Examples
1.203
Corrections
47
Active Patterns
Customers
Results & ROI
New format
Starting accuracy on completely new document formats from unknown sources.
Learned pattern
Self-learning AI adapts to your specific documents and business rules.
Accuracy improves as the system learns your documents
Corrections are applied to similar documents and kept isolated per customer.
“We started with a pilot and quickly saw where Chainfill helped. The team thinks along with us and keeps improving the workflow.”
Works great with
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Learn more →Frequently Asked Questions
Corrections are applied immediately to the active model. The next similar document benefits from every correction made - there's no batch retraining cycle.
The system uses confidence scoring to handle conflicts. When contradictions arise, it flags the field for review and presents both interpretations to the operator.
No. Each customer's learning is completely isolated. Your corrections and data never influence models for other customers.
