Evolution AI

Evolution AI is an AI-powered data extraction platform designed to automate the capture of structured data from financial documents such as bank statements, invoices, financial statements, and more. It combines generative AI with human-in-the-loop QA to deliver high-accuracy data, reduce manual effort, and scale document processing for enterprises.

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Overview

Evolution AI provides an automated data extraction workflow that converts unstructured financial documents into clean, structured data. It serves use cases across investment, banking, asset management, and corporate finance by extracting key data points from diverse document types without writing custom rules.

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How It Works

1. Configure your document: Use a point-and-click interface to identify the data points you want to extract from a document.
2. Self-learning improves accuracy: Users can correct errors, and the system learns to avoid repeating them on future extractions.
3. QA ensures high-quality data: A QA workflow and monitoring dashboards provide governance and control over data quality.

Evolution AI offers both an API and comprehensive annotation/QA interfaces, plus customizable human oversight levels for each document.

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Why Evolution AI

• Trusted by global industry leaders (e.g., NatWest, Dun & Bradstreet, Deutsche Bank)
• Generative AI for data extraction from complex documents without predefined rules or code
• Fast, scalable processing with continuous improvement through user feedback
• One-stop solution for data extraction across invoices, bank statements, financial statements, and more
• Transparent, governance-enabled workflow with annotation tools and monitoring dashboards

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How to Use

• Upload or connect your document sources (bank statements, invoices, quarterly reports, etc.).
• Use the intuitive interface to select target data points (dates, amounts, identifiers, line items, etc.).
• Run extraction and review results via the QA workflow; adjust as needed to improve accuracy.
• View insights and monitoring dashboards to track performance and throughput.

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Case for Adoption

• Substantial cost reduction in data extraction and processing.
• Faster turnaround from document to structured data.
• Scalable solution that supports enterprise volumes and diverse document types.
• Proven impact with industry leaders and measurable time savings in real-world deployments.

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Core Features

• Automated data extraction from financial documents (bank statements, invoices, financial statements, quarterly reports, etc.)
• Generative AI-based data capture without manual rule-writing
• Point-and-click configuration to specify extractable data points
• Self-learning corrections to continuously improve accuracy
• QA workflow and governance dashboards for high-quality outputs
• API access plus annotation and manual QA interfaces
• Flexible human oversight levels to suit governance needs
• Scalability to process millions of pages and multiple document types
• Trusted by large financial institutions and asset managers