On This Page

AI-powered document processing platform for complex financial and legal documents, acquired by Sirion Labs in 2024.

Eigen Technologies

~50%Global systemically important banks served
2–50Training documents required per use case
$59.6MTotal funding raised pre-acquisition
3.5M+Contracts managed across 100+ countries (combined Sirion-Eigen)

Overview

Founded in 2014, Eigen Technologies built a no-code document intelligence platform for extracting data from complex, unstructured documents in heavily regulated industries. The company established a strong foothold in financial services, serving almost half of all global systemically important banks including Goldman Sachs, ING, Bank of America, and Deloitte before being acquired by Sirion Labs in June 2024 for undisclosed terms. The deal pushed Sirion's valuation to $1 billion and reflects a broader consolidation pattern in enterprise AI: contract lifecycle management (CLM) vendors absorbing document AI point solutions to compete on end-to-end automation rather than extraction accuracy alone.

Eigen no longer operates as an independent vendor. Both its Document AI platform and its intelligent document processing (IDP) platform have been folded into Sirion's stack, with the combined offering branded as AI Studio. Dr. Lewis Liu, Eigen's founder and a former CERN physicist, became Chief AI Officer at Sirion and leads new AI research centers in London and New York City. Buyers evaluating Eigen must now assess Sirion's roadmap and support commitments directly.

The financial services specialization that defined Eigen is now one capability within a platform that has deliberately expanded scope. AI Studio targets invoices, purchase orders, engineering reports, and performance reports alongside contracts. Whether the depth Eigen built for regulated financial documents is preserved or diluted in Sirion's broader roadmap is the key question for former Eigen customers. In late 2025, TPG Capital and Warburg Pincus entered preliminary discussions for a controlling stake exceeding $500 million, a signal of private equity confidence in the combined entity, but also a potential inflection point for product prioritization. No deal has closed as of this writing.

Eigen Technologies is no longer an independent vendor. Both product lines now operate under Sirion's roadmap. Prospective buyers should contact Sirion Labs directly for current pricing, deployment options, and roadmap commitments.

How Eigen Technologies processes documents

Eigen's core technical differentiator was its small-data AI approach: the platform achieves high extraction accuracy from as few as 2 to 50 training documents using proprietary machine learning algorithms, rather than requiring the large labeled datasets typical of general-purpose models. This made it practical for financial institutions processing specialized document types such as ISDA master agreements, credit documentation, and regulatory reports, where training data is scarce and errors are costly.

Within Sirion, Eigen's extraction engine feeds into the Single Extraction Agent (SEA), which draws on hundreds of language models trained on more than 10 million enterprise contracts. The combined system handles data extraction across contracts, invoices, purchase orders, engineering reports, and performance reports through the AI Studio platform. Eigen's regulatory-approved model governance frameworks, which enabled straight-through processing (STP) for banking regulatory reporting, are positioned as a differentiator for the combined entity in regulated industries.

The no-code configuration layer remains part of the offering, allowing extraction workflows to be configured without programming. Human-in-the-loop verification is available for cases requiring audit trails or confidence thresholds below the STP threshold. Dr. Liu's background as a physicist and former CERN researcher shaped this research-driven approach to document AI, which may explain the platform's focus on advanced machine learning techniques and minimal training data requirements.

CB Insights identifies ABBYY, Hyperscience, Rossum, Instabase, DocDigitizer, and Cinnamon AI as Eigen's primary competitors. Vendors taking a similar no-code approach to LLM-powered extraction include Unstract, which offers hallucination mitigation and token optimization for production-grade IDP deployments.

Use cases

Financial services document processing

Eigen's original market. Banks and financial institutions use the platform's regulatory-approved frameworks for processing ISDA master agreements, credit documentation, loan files, and compliance reports. The STP capabilities support automated regulatory reporting while maintaining the audit trails required by banking regulators. The client base, spanning nearly half of global systemically important banks, brought pre-approved governance frameworks into the Sirion acquisition, which the combined entity now markets to financial services prospects evaluating contract analysis and legal document automation.

Financial institutions with narrower mandates around banking compliance and trade finance automation may also evaluate Impactsure, a Mumbai-based platform specializing in banking compliance and global trade finance document processing with more than 20 products targeting similar regulated workflows.

Contract intelligence and CLM

The integrated Sirion-Eigen platform processes contracts alongside related documents including invoices, purchase orders, and operational manuals. The AI Studio platform extracts obligations, terms, and compliance requirements across document types for contract lifecycle management. The combined entity claims to manage more than 3.5 million contracts across more than 100 countries, providing distribution scale that Eigen as a standalone vendor did not have. Sirion's CEO Ajay Agrawal stated that the combination "creates the world's largest labelled contract dataset," a claim that has not been independently verified.

Enterprise document automation

Beyond financial services and contracts, the AI Studio scope now includes engineering reports, operational manuals, and performance reports. This expansion beyond Eigen's original vertical focus is deliberate: the value proposition has shifted from best-in-class extraction for financial documents to extraction plus workflow plus contract intelligence in a single platform. Organizations in adjacent verticals, including insurance, procurement, and supply chain, are the growth targets, though Eigen's proven depth in those areas is less established than its financial services track record.

Teams evaluating structured extraction from unstructured text for similar enterprise use cases may also consider LangExtract, Google's open-source Python library built for precise source grounding in LLM-powered extraction workflows. Financial analytics teams processing research documents and SEC filings alongside contracts may find Acuity Knowledge Partners relevant, given its Agent Fleet agentic AI platform serving 800+ financial institutions with document processing and research automation.

Technical specifications

Feature Specification
AI technologies Natural language processing, machine learning, computer vision
Document types PDF, Word, Excel, images, emails, scanned documents
Extraction accuracy 95%+ with human-in-the-loop verification
Training requirements 2–50 example documents (small-data AI)
Integration methods REST API, connectors, AI Studio platform
Deployment options Cloud, on-premises, hybrid
Security standards SOC 2, regulatory-approved governance frameworks
Languages supported English, German, French, Spanish
Processing speed Thousands of pages per minute (cloud)
Model governance Banking regulatory compliance, explainable AI
Platform scale 3.5M+ contracts managed across 100+ countries (combined Sirion-Eigen)
Language models Hundreds of models trained on 10M+ enterprise contracts (SEA)
Patents 3 filed; most recent grant March 4, 2025 (NLP, ML, neural networks)

Notable quotes

By combining Eigen's best-in-class Document AI and AI governance with Sirion's category-leading CLM and document workflow capabilities, we are creating an unstoppable natural leader in the contract and document AI world.

Dr. Lewis Liu, Founder and CEO of Eigen Technologies, Finance Director Europe, June 2024

Unstructured data, specifically billions of documents and contracts that sit in enterprises, is one of the biggest problems that face businesses today. I'm excited to be joining Ajay on the Sirion journey and deeply believe we will solve the unstructured data problem when no one else has.

Dr. Lewis Z. Liu, Founder and CEO of Eigen Technologies, Sirion acquisition announcement, June 2024

Resources

Company information

Eigen Technologies operates as part of Sirion Labs following the June 2024 acquisition. Dr. Lewis Liu, Eigen's founder, serves as Chief AI Officer at Sirion and leads AI research centers in London and New York City. Before the acquisition, Eigen raised $59.6 million in total funding from investors including Dawn Capital, Anthemis, Sony Innovation Fund, and Plug and Play Fintech Accelerator. Sirion is backed by Partners Group Holding AG, Peak XV Partners, Brookfield Growth, and Avatar Capital, and has raised approximately $170 million across multiple rounds, including a $110 million Series D with a $25 million Brookfield Growth extension in 2023. TPG Capital and Warburg Pincus are in preliminary discussions for a controlling stake above $500 million; no deal has closed as of this writing.

For current contact details, pricing, and roadmap commitments, refer to Sirion Labs directly.

:::recent 3 :::