London, England, United Kingdom
Nephos helps organisations transform the way they store, manage & secure data.
- Revenue
- $5M
- Year founded
- 2011
- Team size
- 74
As of November 2026, Latka tracks 22 sensitive data discovery software companies with $1M–$5M in annual revenue. They have combined revenues of $62.9M and employ 708 people. They have raised $112.2M and serve 2.8M customers combined.
Every company below sells sensitive data discovery software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
Sensitive Data Discovery Software enables organizations to locate and manage sensitive information such as personally identifiable information (PII), protected health information (PHI), and payment card information (PCI) across various data environments. These solutions typically scan databases, file systems, and cloud storage to identify where sensitive data resides, allowing for better compliance with regulations such as GDPR and HIPAA. The primary use cases for this software include risk management, compliance auditing, and data protection strategies. Common features include automated scanning, classification of data types, reporting dashboards, and integration capabilities with existing data governance frameworks. Buyers of this software often include roles within IT security, compliance, data governance, and legal departments, seeking to enhance their organization's data privacy posture.
Sorting: Highest -> Lowest
Showing 10 of 22 companies ranked by annual revenue.
London, England, United Kingdom
Nephos helps organisations transform the way they store, manage & secure data.
Beijing, Beijing, China
Renda Jincang is a software company engaged in providing domestic data management software products and services.
Rovereto, Trentino-Alto Adige, Italy
Chino.io helps companies dealing with sensitive data to give the right answers to data protection questions they receive from clients, regulators, and investors. We are specialised in GDPR, HIPAA, DVG/DiGA, NHS, and others, and we work with digital health, AI, and blockchain applications.
Arlington, Virginia, United States
CaseGuard is an AI Redaction Solution. Everything you need to redact and enhance any video, audio, image, or document in one redaction solution. Very flexible, affordable, easy to use, secure, fast, multilingual, and ready to integrate with other systems. CaseGuard helps law enforcement agencies, federal agencies, hospitals, schools, shopping centers, airports and private companies manage all their media redaction needs in one easy to use redaction software.
Palo Alto, California, United States
Developer of a cloud based mobile application scanner designed to scan and secure mobile applications. The company's cloud based mobile application scanner automatically detects security breaches, flaws and data privacy gaps and locks down the high-risk areas of mobile applications, enabling individuals to secure and protect their mobile applications.
Fulton, Maryland, United States
Developer of a software-defined storage platform designed to solve the most difficult data and security problems. The company's platform fuses data storage with advanced security and compliance into a single platform with embedded access controls, encryption and compliance, enabling government and commercial organizations to protect data where it resides without the cost, complexity and security vulnerabilities of traditional bolt-on software systems.
Oakville, Ontario, Canada
Data Sentinel is a data trust and compliance platform that helps businesses continuously manage their data privacy compliance, governance, and quality in real time. Data Sentinel’s proprietary deep learning discovery technology illuminates the true nature of an organization’s data across all sources and systems, monitoring, measuring, and remediating the data to ensure compliance with company policies and evolving data management privacy regulations.
San Francisco, California, United States
Developer of a data access and governance platform. The company's platform facilitates the provisioning, accessing, governing and auditing of data in today's multi-cloud, multi-data format, and multi-tool world, enabling data consumers, owners and stewards to unlock the power of their data for innovation and growth.
Santa Clara, California, United States
Developer of a data protection platform intended to make data breaches irrelevant by keeping data encrypted from production through processing. The company's platform offers a comprehensive data protection capability that unifies enhanced data access monitoring and access control with end-to-end encryption and it also employs an AES 256-bit encryption method, enabling clients to securely compute cloud applications and integrate at the SQL layer as a gatekeeper to constrain how applications access sensitive data and help thwart attacks that were the causes of the high profile data breaches.
London, England, United Kingdom
Metomic's modern DLP solution helps businesses detect, classify and protect sensitive data in SaaS, cloud and GenAI tools like Google Workspace, Slack and ChatGPT.
Latka tracks 22 sensitive data discovery software companies with $1M–$5M in annual revenue. Together they generate $62.9M in annual revenue and employ 708 people.
Nephos Technologies is the largest, with $5M in annual revenue, founded in 2011.
The average sensitive data discovery software company in this list makes $2.9M a year, across 22 companies with reported revenue. They serve 2.8M customers combined.
Ranked by annual revenue, the leaders are Nephos Technologies, BaseSoft Ltd., Co, Chino.io, CaseGuard and Data Theorem.
The 22 sensitive data discovery software companies with $1M–$5M in annual revenue tracked here have raised $112.2M in disclosed funding between them.
- Must support identification and classification of sensitive data types such as PII, PHI, and PCI. - Should provide automated scanning capabilities across various data storage solutions. - Must offer compliance reporting to assist with regulatory requirements. - Should include integration options with existing data management and protection tools. - Not just a data management tool; must also provide functionality for ongoing monitoring and alerts related to sensitive data exposure.