Zama
Research Team Data
Published
Privacy-preserving AI and encrypted computation
Company profile
Overview
Open-source cryptography company building fully homomorphic encryption software for confidential AI and blockchain computation.
Develops open-source FHE libraries and protocols that enable computation on encrypted data for confidential AI/ML, encrypted cloud SaaS, blockchain and privacy-preserving analytics use cases.
At a glance
Key facts
- HQ location
- Paris, France
- Founded
- 2020
- Employee range
- 51-200
- Funding stage
- Series B
- Company type
- PrivatePrivate / open-source commercial
- Last updated
- Pricing model
- Licensing Open SourceOpen-source plus enterprise/commercial licensing
Business context
Financials
- Revenue estimate
- Unknown / not publicly disclosed
- Valuation estimate
- >$1B valuation announced with Series B
- Investments
- $57M Series B announced Jun 2025; >$146M total implied by CB + Series B history
Market context
Relationships
- Target customers
- Enterprises, blockchain developers, AI/cloud teams, finance, healthcare, government and privacy-sensitive use cases
- Key competitors
- Duality Technologies, Inpher, OPAQUE, Skyflow, Enveil, IBM confidential computing
- Known customers
- Dozens of companies licensing FHE technology; names not comprehensively disclosed
Source context
Classification (raw research text)
- Core focus
- Privacy-preserving AI / FHE
- Core industry
- AI Security & Privacy
- Core category
- Confidential AI / encrypted ML platform
Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.
Market taxonomy
Segments, Industries & Certifications
Segments
AI WorkflowsAI Developer ToolsLLM DeploymentTraditional MLAI Governance & Risk