Eaglys
Eaglys builds homomorphic-encryption and confidential-computing infrastructure that lets Japanese enterprises analyze sensitive data without ever decrypting it.
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Eaglys, founded in Tokyo in 2016 by CEO Hiroki Imabayashi and Chief Science Officer Yusuke Maruyama, builds data protection infrastructure based on homomorphic encryption and trusted execution environments (TEEs). Its DataArmor GATE product line lets organizations run computation and AI analysis directly on encrypted data, so sensitive information is never exposed in plaintext even to the systems processing it.
This is a technically harder problem than typical data security posture management: most DSPM/CSPM tools discover and classify sensitive data, but Eaglys’s approach lets that data actually be used — for cross-company analytics, AI model training, or manufacturing data-sharing — while remaining cryptographically protected throughout. The company positions this for regulated, high-value industrial data that organizations have historically been unwilling to centralize or share at all.
Eaglys has raised $56.6 million to date from investors including Ricoh’s and Panasonic’s corporate accelerators, and counts Mitsubishi Heavy Industries, JR East, Hitachi High-Tech, and Mitsui & Co. among its named customers — a decade of production use among major Japanese industrial and infrastructure operators that few earlier-stage confidential-computing vendors can match.
Innovation Matrix Assessment
Commercializing homomorphic encryption and TEE-based confidential computation for real enterprise use is technically advanced work, developed steadily since 2016.
Lets regulated industrial and infrastructure organizations run analytics and AI directly on encrypted data, a concrete operational unlock for sectors historically unwilling to centralize sensitive data.
$56.6M raised over a decade from strategic investors including Ricoh and Panasonic accelerators, plus named blue-chip customers, is strong and verifiable momentum for this category.
Enabling computation on encrypted data (not just discovery/classification) is a genuinely differentiated capability compared to typical DSPM/CSPM tooling.
Named production customers — Mitsubishi Heavy Industries, JR East, Hitachi High-Tech, Mitsui & Co. — across critical Japanese industrial sectors is solid, independently corroborated real-world evidence.
Privacy-preserving computation becomes more relevant as data-sharing, cross-border transfer, and AI training regulations tighten globally.
Why CISOs Should Care
Enables secure data collaboration and AI analytics on sensitive operational data that regulated industrial organizations would otherwise refuse to centralize or share at all.
What Makes It Different
Uses homomorphic encryption and TEEs to allow computation directly on encrypted data, rather than only discovering and classifying sensitive data like most DSPM tools.
The Matrix Verdict
65/100 — INCREMENTAL INNOVATOR
An Incremental Innovator with the strongest evidence base in this batch: a decade of production use, named blue-chip industrial customers, and a technically differentiated approach to data protection.
Editorial Note: Claims vs. Verified Findings
Named customers and funding figures are corroborated by independent company-tracking sources (Crunchbase, PitchBook, ZoomInfo); no unverifiable vendor performance claims were used in scoring.
Sources
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