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Intelligent Document
Processing (IDP)

Enterprise-Grade Native AI

Proven at the Highest Level

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."

500M+
Paper Tax Returns
Everest Group PEAK Matrix

Everest Group Unstructured Document Processing Products PEAK Matrix® Assessment 2023

Industry-Leading Technology

Ranked #2 in the 2023 Everest Group PEAK Matrix® for Semi-structured and Unstructured Document Processing.

#2 Everest Group Ranking

Innovation & Intellectual Property

Unifying computer vision, NLP, and OCR into a single multimodal AI model.

4
Approved US Patents
1
Patent Pending
Multimodal AI Model

Unified Vision, NLP & OCR

Differentiators: Deployment Speed

1 Day
To Identify Use Case
1 Week
To Finish Proof of Concept
1 Month
To Live Production

Proven Solutions Across Industries

opAIda handles semi-structured and unstructured content at enterprise scale.

FIN-AI-01

Financial Services

  • • Commercial Loan Processing
  • • Mortgage Deed Verification
  • • Tax Form Data Extraction
  • • Trading Records Reconciliation
  • • Financial Spreading & Credit
  • • Trade Finance Cover Letters
  • • Automated Account Opening
INS-AI-02

Insurance

  • • ACORD Form Processing
  • • Loss Run & Claims Analysis
  • • Touchless Claims Workflows
LOG-AI-03

Logistics & Supply Chain

  • • Bill of Lading Extraction
OIL-AI-04

Oil and Gas

  • • Material Test Report (MTR) reconciliation
HR-AI-05

Human Resources

  • • Resume Data Extraction
GEN-AI-06

Industry Agnostic

  • • Invoice Processing
  • • Mobile Medication Capture

Competitive Analysis

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.

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