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§ Private Profile · Singapore
AI-powered software for data protection and compliance, classifying unstructured data and detecting sensitive information.
Based in Singapore, Dathena Science develops artificial intelligence software that automatically classifies unstructured data and monitors access to help enterprises ensure compliance and protect sensitive information. Prior to its strategic acquisition, the company scaled its operations to approximately 45 employees and generated $4.84 million in revenue in 2023 while serving clients across North America, Europe, and the Asia-Pacific region. The enterprise software provider reached a $44.5 million valuation after securing a $12 million Series A funding round led by Jungle Ventures, with participation from MS&AD Ventures and CerraCap Ventures. In January 2022, the publicly traded cybersecurity firm Proofpoint acquired the business to integrate its data discovery and anomaly detection capabilities into its existing cloud and on-premise enterprise security platforms. Dathena Science was founded in 2016 by Christopher Muffat, Antoine Matthey-Doret, and Anelia Herlem.
Dathena Science has raised $12.0M across 1 funding round.
Dathena Science has raised $12.0M in total across 1 funding round.
Dathena Science has raised $12.0M in total across 1 funding round.
Dathena Science's investors include Jungle Ventures, Indus Valley Capital, Khosla Ventures, Kompas VC, MS&AD Ventures, Multicoin Capital, Openspace Ventures, WorkLife Ventures, James Beshara, Kyle York, Varun Srinivasan, François Santi.
Dathena Science has raised $12.0M across 1 funding round. Most recently, it raised $12.0M Series A in May 2020.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| May 1, 2020 | $12M Series A | Jungle Ventures | Indus Valley Capital, Khosla Ventures, KOMPAS VC, MS&AD Ventures, Multicoin Capital, Openspace Ventures, Worklife Ventures, James Beshara, Kyle York, Varun Srinivasan, François Santi, CerraCap Ventures, Seeds Capital | Announced |
Dathena Science is a Singapore-based deep-tech company that developed an AI-powered data governance platform for discovering, classifying, detecting, and protecting sensitive data to ensure privacy and security compliance.[1][2][3] It serves enterprises managing large data volumes across sectors, solving challenges like regulatory compliance (e.g., GDPR), sensitive data protection, and cloud access security by automating data discovery, risk analysis, and anomaly detection.[1][2] The platform raised $12M before being acquired by Proofpoint in January 2022, integrating its capabilities into Proofpoint's Intelligent Classification and Protection for real-time, enterprise-scale data visibility and automated protection.[1][6]
Dathena Science was founded in 2016 in Singapore by Christopher Muffat, who serves as CEO, with additional offices in Switzerland.[1][2][3] Emerging amid rising data privacy regulations and exponential data growth, the company addressed the core issue: "You can’t protect what you don’t know," by building AI tools for end-to-end data protection.[2] Early traction came from its modular products—Dathena Discovery for mapping personal data and risks, Classify for live labeling, Protect for policy enforcement, and Detect for behavioral anomaly alerts—gaining recognition in ASEAN's advanced tech ecosystem.[2][3] This culminated in its 2022 acquisition by Proofpoint, marking a pivotal validation of its innovation in AI-driven data security.[1][6]
Dathena rides the data explosion and privacy regulation wave, including GDPR and emerging ASEAN laws, where enterprises face fast-growing, hybrid-cloud data amid rising breaches.[1][2][6] Timing aligns with AI's maturation for security, enabling automated governance over manual methods, as competitors like Securiti and TrustArc also target multi-cloud compliance.[1] It influences the ecosystem by pioneering "universal layers" of protection, now scaled via Proofpoint to protect against careless or malicious insiders, boosting cybersecurity's shift toward proactive, AI-native defenses in a $10B+ data security market.[1][2][6]
Post-acquisition, Dathena's tech evolves within Proofpoint as core to AI-powered classification, prioritizing real-time protection amid escalating data volumes and AI threats.[6] Trends like zero-trust architectures, quantum risks, and global privacy harmonization will amplify its role, potentially expanding to generative AI data governance. Its legacy humanizes data security—starting from unknown risks to enterprise empowerment—positioning it to shape resilient info frameworks as regulations tighten.