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Intelligent Document Processing

LLM Intelligence

AI-powered document processing with the intelligence of generative AI. Take advantage of the latest Large Language Models (LLMs) to solve document automation challenges.

Generative AI, built into every workflow

  • Generative AI for documents

    Do More with Less Data

    Generative pre-trained models like GPT-4 improve zero- and few-shot learning, making it possible to do more with limited resources and data so automation initiatives don't stall.

  • Custom AI agents

    Build Custom AI

    Leverage AI agents to customize foundation models like GPT-4 for your data and use case. Our generative AI agents feature self-improving feedback loops and memory and excel as prompt engineers, ML model trainers, QA testers, and more.

  • Better extraction accuracy

    Improve Data Extraction Accuracy

    LLMs excel at interpreting context in unstructured datasets, greatly enhancing data extraction precision for complex documents. Get better extraction results across diverse document types, including advanced table recognition and more.

  • Boost automation rates

    Boost Automation Rates

    GPT-4 enhances and sometimes outperforms top OCR models in extraction accuracy. Increase automation rates with reduced human intervention, streamlining your processes and improving overall productivity.

Keep your data secure and compliant

super.AI offers enterprise-grade security.

SOC 2 compliant
GDPR compliant
  • Support SOC 2 and GDPR compliance
  • Granular role and user management
  • Detailed audit trails and logs for each document
  • Learn More

Frequently Asked Questions

super.AI has an open architecture that lets you plug in best-of-breed OCR and LLM models per task, including GPT-4 and other cutting-edge large language models, rather than locking you into a single proprietary model.

No. LLMs excel at interpreting context in unstructured datasets, which enhances data extraction precision on top of OCR and Document AI, rather than replacing them.

AI agents customize foundation models like GPT-4 for your data and use case. They feature self-improving feedback loops and memory, and act as prompt engineers, ML model trainers, and QA testers.

Yes. The table extraction and document understanding stack combines purpose-built models with the contextual reasoning of large language models, improving accuracy on documents that traditional OCR can't read reliably.

Get a customized demo with your documents

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Intelligent Document Processing (IDP)

Automate information extraction from any business document with guaranteed quality, with built-in human-in-the-loop review and, on request, our Data Processing Crowd.