Zama
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.
Positioning
Privacy-preserving AI and encrypted computation
Key facts
- HQ location
- Paris, France
- Founded
- 2020
- Employee range
- 51-200 (51-200)
- Funding stage
- Series B
- Company type
- Private (Private / open-source commercial)
- Pricing model
- Licensing Open Source (Open-source plus enterprise/commercial licensing)
- Last updated
- Jun 21, 2026
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
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
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 segment/industry tags from this text is a future phase.
Attribute breakdown
- AI Workflows Secondary feature
- System / API Integration Secondary feature
- AI / LLM Data Pipeline Secondary feature
- Model Deployment / Inference Infrastructure Secondary feature
- Traditional Machine Learning Secondary feature
- AI Security / Guardrails Secondary feature
- Data Privacy / PII / Confidential AI Primary focus
- AI Governance / Policy Management Secondary feature
- AI Risk / Compliance Secondary feature
- Vertical-Specific AI Secondary feature
Show all 32 attributes
- AI Workflows Secondary feature
- AI Automation / Business Process Automation Not emphasized
- AI Fine-tuning / Custom Model Training Not emphasized
- Agent Builder / Agent Configuration Not emphasized
- Multi-agent Orchestration / Runtime Not emphasized
- System / API Integration Secondary feature
- Prompt Management / Prompt Engineering Not emphasized
- Retrieval-Augmented Generation Not emphasized
- Graph RAG / Knowledge Graph Retrieval Not emphasized
- Enterprise Search / Knowledge Management Not emphasized
- AI / LLM Data Pipeline Secondary feature
- Document AI / Document Processing Not emphasized
- Model Deployment / Inference Infrastructure Secondary feature
- Traditional Machine Learning Secondary feature
- AI Quality Assurance / LLM Evaluation Not emphasized
- AI Observability / Monitoring Not emphasized
- AI Security / Guardrails Secondary feature
- Data Privacy / PII / Confidential AI Primary focus
- AI Governance / Policy Management Secondary feature
- AI Risk / Compliance Secondary feature
- AI Asset Inventory / Model Registry Not emphasized
- Human-in-the-Loop Review / Feedback Not emphasized
- Call Transcription / Speech-to-Text Data Capture Not emphasized
- Conversation Intelligence / Speech Analytics Not emphasized
- Text Chatbots / Conversational Assistants Not emphasized
- Voice AI Agents Not emphasized
- Voice Infrastructure / STT / TTS Not emphasized
- AI for Customer Experience / Support Automation Not emphasized
- Sales / Revenue Intelligence Not emphasized
- Analytics / BI / Decision Intelligence Not emphasized
- Enterprise App / Internal Tool Builder Not emphasized
- Vertical-Specific AI Secondary feature