Enterprise-Grade Native AI
AYR (a subsidiary of opAIda) won the highly competitive IRS paper-based tax return modernization deal with its IDP technology after an extensive two-year evaluation by the IRS and Leidos.
"Our solution was selected over industry giants including Microsoft, AWS, UiPath, Google, Abbyy, and more than 50 other IDP competitors."
Everest Group Unstructured Document Processing Products PEAK Matrix® Assessment 2023
Ranked #2 in the 2023 Everest Group PEAK Matrix® for Semi-structured and Unstructured Document Processing.
Unifying computer vision, NLP, and OCR into a single multimodal AI model.
Unified Vision, NLP & OCR
opAIda handles semi-structured and unstructured content at enterprise scale.
| Feature | opAIda 2nd Gen | opAIda 1st Gen | Other Vendors |
|---|---|---|---|
| Accuracy - Semi-Structured* | ~99.94% | ~99.4% | ~90% |
| Accuracy - Unstructured* | ~99% | ~95% | 92%-95% |
| Extractive + Gen AI (control hallucination) | Yes | No | No |
| AI Agent + Coding Agent (99%+ token savings)** | Yes | No | No |
| GPU Memory per Model (lower GPU cost) | 16GB | 5GB | 48GB+ or Calls LLM |
| AI Self-Learning (evolvement) | Yes | Yes | No (or Partial) |
| On-Premise Deploy (security) | Yes | Yes | No (or Partial) |
| Deploy Timeline (efficiency) | 1 Day ID, 1 Week POC, 1 Month Prod | 1 Day ID, 1 Week POC, 1 Month Prod | 6+ Months to Production |
* Accuracy varies by use case; paper tax return results shown for comparison.
** AI agent detects tasks once; coding agent executes repeatedly, saving token cost.