58

Out of 100

N/A

Post-money

$37M

All rounds

58/100

2014

100-500 employees

March 2026

Eigen Technologies builds natural language processing software for document-intensive workflows in financial services, legal, and insurance. The platform uses machine learning models to extract structured data from unstructured contracts, prospectuses, loan documentation, and regulatory filings, enabling financial institutions to automate manual review processes that previously required large team

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L

Lewis Liu

Founder & CEO

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StageSeries B
Employees100-500
Country🇬🇧 United Kingdom

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Series B · No public funding round data available yet.

Frequently Asked Questions

What is Eigen Technologies's valuation?
Eigen Technologies's valuation is not publicly disclosed.
Who invested in Eigen Technologies?
Investor information for Eigen Technologies is not publicly available at this time.
When did Eigen Technologies last raise funding?
No public funding round data is currently available for Eigen Technologies.
How many employees does Eigen Technologies have?
Eigen Technologies has approximately 100-500 employees.
What does Eigen Technologies do?
Eigen Technologies builds natural language processing software for document-intensive workflows in financial services, legal, and insurance. The platform uses machine learning models to extract structured data from unstructured contracts, prospectuses, loan documentation, and regulatory filings, enabling financial institutions to automate manual review processes that previously required large teams of analysts.\n\nThe company raised approximately $37 million including a $17 million Series B round led by Goldman Sachs and Lakestar. Its client base includes major investment banks, asset managers, and insurance groups that use the platform to accelerate due diligence, contract management, and regulatory reporting workflows. Eigen reports that clients achieve extraction accuracy rates that match or exceed human reviewers on structured financial documents.\n\nEigen competes in the intelligent document processing market alongside Kofax, ABBYY, and newer AI-native entrants including Zuva and Luminance. Its focus on financial services document types and its ability to train accurate models from small labelled datasets differentiate it in an enterprise sales process where production-grade accuracy on specialist document types is the primary evaluation criterion. The company is headquartered in London with offices in New York, serving both UK and US financial institutions.