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Data Extraction Startups

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Top Data Extraction startups

There are 230 Data Extraction startups which include Eigen Technologies, Astronomer, Canoe Intelligence, Docugami, Henchman AI. Out of these, 57 startups are funded, with 19 having secured Series A+ funding. United States has the most number of companies in Data Extraction (78), followed by India (32), and then United Kingdom (19).
2026 has seen the creation of 3 Data Extraction startups. Over the past 10 years, an average of 15 new companies have been launched annually. Notably, several of these startups have been founded by alumni of University of Manchester, Carnegie Mellon University and Columbia University.

Here is the list of top Data Extraction Startups

AI based solutions to extract data from documents. It provides document capture software that can be integrated with email systems and document repositories to automatically detect and ingest new documents. Features of the platform include document preprocessing, extraction of structured and unstructured data, data validation, and more. It provides solutions for industries such as insurance, banking, supply chain, and more.

Key facts about Eigen Technologies

Cloud-based platform for data pipelines. It is a hosted data pipeline service that can be used to connect various data sources like Oracle, MySQL, Salesforce, etc to destinations like cloud platform amazon redshift, bi tools, google analytics, and website analytics tools like kissmetrics. The company also provides implementation services to the companies with no data engineer.

Key facts about Astronomer

Cloud-based investment documents and data management for enterprises. It offers an AI interfaced solution for categorizing documents, accessing platforms via APIs, metadata analysis, and accounting systems, extracting data and transactions, and validating data for developing investment strategies. Also, provides news updates, insights, and announcements as a reference to users.

Key facts about Canoe Intelligence

Developer of AI that transforms unstructured documents into structured, actionable data. The AI agents understand business rules and improve with continued use. It reasons on structured data to identify and combine scattered information in documents. The AI provides control and ownership to customers over their document data. It operates across document types at scale across industries.

Key facts about Docugami

AI and cloud based contract drafting platform for legal firms. It offers software to classify and extract data from documents. Its offering includes clause analytics, integration, penetration testing tools, data fragmentation. The platform allows users to review the contracts in real time.

Key facts about Henchman AI

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