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Build Document AI That Learns, Proves, and Improves

Here’s what Infrrd IDP Forge delivers:

Choose the Best Model for Every Stage
Do not rely on one model for every task. Use GPT-4o for layout understanding, Claude for complex tables, Gemini for classification, or any combination that gives you the right balance of accuracy, speed, and cost across your extraction pipeline.
Bring Your Own LLM Keys and Data Agreements
Route requests through your own OpenAI, Anthropic, or Google API keys. Keep your existing data processing agreements in place and avoid hidden LLM markups on every page you process.
Prove Accuracy Before You Deploy
Upload labelled documents, run your pipeline, and measure field-level precision, recall, F1 scores, and confusion matrices. Know how your extraction workflow will perform before it reaches production.
Review and Correct Data Dynamically
Automatically route documents with extraction errors or low-confidence fields to a dedicated review interface. Developers or assigned reviewers can verify the source, correct the extracted data, and approve the final output.