What’s New in Custom Classification?
natif.ai has always enabled businesses to train their own custom AI models for document classification, making automation more tailored and efficient. With our Enhanced Custom Classification, we’ve taken everything our users loved about the feature—and made it even better, faster, and more reliable.
With improved AI models, smarter data handling, and enhanced confidence scores, you can now automate document sorting and routing with minimal effort, without requiring deep AI expertise.
What’s new?
• Higher model accuracy with a pre-trained, multimodal AI model
• 50% less training data required
• Better confidence scores for more reliable automation
• Enhanced document annotation tool designed to accelerate the review and annotation process
What’s Improved? Key Enhancements in Custom Classification
1. Higher Accuracy with a Smarter AI Model
One of the biggest challenges in classification is ensuring precise results, especially when working with a variety of document types.
• What’s new?
The updated model has been pre-trained on millions of documents, making it much more accurate from the start.
It is now multimodal, meaning it understands both text and layout structure simultaneously—so you no longer need to choose between a text-based or visual model.
• Why it matters:
This means better classification with less training data, reducing errors and improving automation accuracy.
2. Less Training Data Needed – 50% Reduction!
Training AI models used to require large datasets, making the setup process time-consuming. Now, we’ve optimized our technology so that you need half the amount of data to get the same high-quality results.
• What’s new?
Previously, businesses needed 50+ samples per class—now, only 25 per class is recommended for simpler tasks.
Complex classifications still benefit from more data, but the effort required to get started has been significantly reduced.
• Why it matters:
Less manual work, faster training, and quicker deployment mean businesses can automate sooner and with more confidence.
3. Smarter Document Management for Reviewing & Correcting Errors
Previously, annotating training data was inefficient—users had to check every file manually, even if only a few categories had issues.
• What’s new?
Now, you can filter and review only specific classes.
If certain documents are causing confusion, you can focus only on reviewing those documents instead of checking the entire dataset.
• Why it matters:
This makes it easier to refine models without unnecessary effort, speeding up classification improvement.
4. More Trustworthy Confidence Scores for Better Automation
In intelligent document processing (IDP), classification is usually just one step in a broader automation pipeline. Businesses need to trust the classification before applying extraction or workflow automation.
• What’s new?
Our confidence scoring is now more reliable, ensuring businesses can automate with certainty. Users can set up a human-in-the-loop review process where only low-confidence classifications require manual verification.
• Why it matters:
With better confidence scores, businesses can process more documents automatically while keeping human review efforts to a minimum.
How Custom Classification Works: A Simple, No-Code Setup
Setting up your own document classification model on natif.ai is easy and requires no AI expertise. Here’s how it works:
1. Train Your Own Model – Click on the “Train Your Own Model now” button and select “Create Custom Classification”.
2. Define Your Categories – Label your documents into specific classification categories.
3. Upload Your Documents – Provide sample documents for training (now requiring 50% less data than before).
4. Train & Review – Let the AI learn from your data, then review and refine classifications as needed.
5. Deploy & Automate – Once trained, the model will classify incoming documents automatically, with confidence scores for each result.
💡 Pro Tip: Use natif.ai’s confidence-based verification to set thresholds for automatic processing vs. human review.
Real-World Use Case: How Businesses Use Custom Classification
Imagine a company receiving hundreds of documents daily, including:
• Invoices that need to be routed to the finance team
• Contracts that should go to legal
• Shipping documents that belong in logistics
With Enhanced Custom Classification, they can:
• Train a model to recognize these categories with minimal data
• Automatically route documents to the right department
• Use confidence scores to decide when manual review is necessary
➡ Result: Faster document processing, reduced manual work, and more reliable automation.
Why Custom Classification?
With natif.ai’s latest improvements, businesses can:
• Reduce training effort – 50% less data required
• Improve accuracy – Pre-trained multimodal AI boosts results
• Speed up reviews – Target only problem areas in data validation
• Trust automation more – Better confidence scoring means fewer errors
Whether you’re handling mail sorting, invoice processing, or legal document classification, Enhanced Custom Classification gives you the power to build a tailored AI classification system—without the complexity.
Get Started Today
Ready to build your own AI-powered classification model?
Start training your Custom Classification model today and experience the power of smarter, more reliable document automation.
