As of May 2026, there are 17 SaaS companies in File Analysis Software. They have combined revenues of $461.7M and employ 3.8K people. They have raised $419.1M and serve 500M customers combined.
File Analysis Software refers to tools designed to analyze, index, and manage files within an organization's digital ecosystem. These applications are primarily used for tracking file metadata and content which helps organizations enhance their data management and compliance practices. Common use cases include data governance, risk management, compliance audits, and enhancing data visibility across storage systems. Typical features of File Analysis Software include the ability to scan and categorize files, generate detailed reports, assess risk, and manage unstructured data. The software often integrates with existing data management systems to streamline workflows and provide comprehensive insights into data utilization. Typical buyer personas include IT managers, compliance officers, and data analysts, who seek to ensure data security and optimize file storage systems.
Sorting: Highest -> Lowest
Showing 10 of 17 companies ranked by annual revenue.
New York, New York, United States
BigID is a company that specializes in data privacy and protection. Its platform uses advanced machine learning algorithms to help organizations discover, inventory, and manage sensitive and personal data across various data sources, and comply with regulations such as GDPR and CCPA.
San Ramon, California, United States
Arctera, a business unit of Cloud Software Group, is the leading global provider of compliance and governance solutions that enable firms to unleash game-changing technologies into their organizations while minimizing risk. Created in 2024 from Veritas Technologies, Arctera helps the biggest companies in the world monitor and control exactly how their information is being accessed, used and shared. The Arctera Insight Platform is able to capture data from over 130+ different content sources, and more than 280 AI policies help firms streamline compliance and adapt to evolving regulations.
Milpitas, California, United States
Based in the heart of Silicon Valley, ZL Tech is the industry leader in information governance for large enterprises. The ZL Tech platform leverages a unified architecture that enables organizations to solve the challenges of compliance, privacy, e-Discovery, and records management, while harnessing their data for enterprise analytics and AI. ZL Tech has 25 years experience serving the Fortune 500 and beyond.
Tampa, Florida, United States
Developer of enterprise data management software intended to help businesses reduce their sensitive data footprint. The company's software focuses on discovering, classifying, monitoring and protecting personal information, medical records, credit card numbers, and intellectual property stored across the enterprise, within the e-mail, and in the cloud, and specializes in the high-precision search and automated classification of unstructured data, enabling clients in the healthcare, public sector, retail, education, financial services, energy, industrial, and entertainment markets to proactively minimize the risks, costs and reputational damage of successful cyber attacks
Holmdel, New Jersey, United States
At Index Engines, we are the experts in Cyber Resiliency, helping organizations build an infrastructure where trusted data is available and reliable. Our leading solution, CyberSense, provides a 99.99% SLA for detecting ransomware corruption. CyberSense empowers organizations to confidently navigate cyber challenges, mitigate risks, and quickly recover to normal business operations in the ever-evolving cyber landscape.
Bellevue, Washington, United States
Turn data chaos into data confidence with RecordPoint. Great data governance can do great things for your organization. And we make great data governance easy. From better compliance, to more trustworthy AI outputs, and increased customer trust – it all starts with understanding the data you have, knowing the risk it presents, and managing it effectively. Our AI-powered platform instantly classifies data and gives you complete clarity over your data estate, so you can identify and act on risk before it becomes a problem. Manage data from every system and source in one place, and pull safe, AI-ready data sets that let you leverage AI tools without compromising on privacy. We deliver a single point of control for all your data governance needs: records management, privacy compliance, security risk detection, and more. Ready to turn data chaos into data confidence? Get in touch to see it in action.
Grapevine, Texas, United States
Adlib is the accuracy authority in AI-driven document automation for high-stakes, regulated industries. As the critical layer in front of your IDP, LLMs, and RAG, Adlib ingests messy, multi-format content and turns it into AI-ready, machine-navigable pipelines. We normalize file types, apply fidelity-preserving rendering and advanced OCR, classify and chunk with citation anchors, enrich with metadata, extract to data contracts, and validate against your rules, producing compliant, searchable outputs and structured data. The result is fewer human-in-the-loop reviews, higher retrieval precision and model accuracy, faster decisions, and lower processing costs. For more than two decades, leading enterprises like Pfizer, Swiss Re, IAG, JP Morgan, have trusted Adlib to transform unstructured content into reliable, audit-ready data that safeguards compliance, builds trust, and drives performance. Ensure every decision is precise, compliant, and AI-ready.
Fall River, Massachusetts, United States
Gathering unstructured data is simple, but managing it effectively is more challenging. We simplify the unstructured data governance and management process into six steps to transform your files into Smart Data, ensuring their safety and reducing costs. Discover the only true end-to-end solution for your unstructured data with Congruity360.
- Must provide functionality to analyze and index file metadata and content - Should support scanning and categorizing files across various storage environments - Must include reporting capabilities for compliance and risk assessments - Should integrate seamlessly with other data management tools - Not just a basic file storage solution; must also enable detailed analysis and management of data - Designed for use in sectors where data governance and compliance are critical, such as finance, legal, and healthcare
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