Eigen Technologies

What is Eigen Technologies?

Eigen Technologies is a pioneer enterprise platform focused on Intelligent Document Processing (IDP) with a strong presence in the finance, insurance, and legal (LegalTech) markets. The software utilizes proprietary semantic artificial intelligence and machine learning algorithms to extract specific data and structure critical information from complex, dense, and unstructured documents (such as investment reports, complex insurance policies, and high-volume legal contracts).

How it works

Unlike traditional OCR systems (which merely turn text images into searchable text), Eigen Technologies understands the linguistic context of pages. The user "teaches" the AI with a small sample of documents, mapping which specific data they wish to collect. The algorithm learns to recognize this data in any future format or layout of the same document type, extracting raw values in a structured way and transferring them directly to central databases or internal banking or law firm systems.

Key features

• Semantic Extraction with Few Data (Few-shot learning): AI model training from just 10 to 20 training document examples, accelerating deployment.
• Unstructured Data Structuring: Automatic conversion of dense contracts, tables, and reports into organized tables for relational databases.
• Financial and Insurance Audit: Rapid mapping of financial liabilities, interest details, and coverage clauses across full policies and portfolios.
• Extraordinary Accuracy Level: Statistical control of error margins, flagging data that requires human review and approval.

Available integrations

The platform connects directly with enterprise transactional systems:

• Database and file systems: Microsoft SharePoint, Google Cloud, AWS S3.
• Enterprise-grade APIs for integration with internal financial and legal management systems (DMS / ERP).

Who it is for

• Banks and Financial Institutions processing large volumes of credit transactions, investment reports, or regulatory funding audits.
• Corporate Law Firms dealing with voluminous analyses of contract drafts during mergers and acquisitions (M&A).
• Insurance Companies in the automation and processing of complex policies and claims.

Pricing

Pros and cons

Pros:

• Requires very few training document examples to start extracting data with a high accuracy rate.
• Excellent handling of complex tables inside PDFs.
• Secure local or private cloud hosting that respects the privacy of banking secrets and data protection laws.

Cons:

• No low-cost tier for smaller teams.
• Setting up new complex document models requires a technical team focused on RevOps.

Alternatives to Eigen Technologies

As data extraction and intelligent document processing technologies: Kira Systems, Amazon Textract, Google Cloud Document AI, Abbyy FlexiCapture, and eBrevia.