Klave AI

Your Data. Your AI. Not Ours.

Enterprise data is sensitive, strategic, and regulated. With Klave, it stays fully encrypted in memory, even during processing. No exposure. No exceptions.

Smarter Than Generic. Safer Than Human.

AI is only as good as the data it sees. Klave gives your models access to private, structured, or messy data securely, without ever exposing it.

Confidential by Design.

At the core of Klave AI lies our confidential computing platform. Data stays encrypted in secure enclaves, protected from the infrastructure running it, even if the machine is compromised.

“World-leading security architecture for cloud AI compute at scale.”
— Apple Security Engineering

Learn about Confidential Computing

Verifiable AI. Always.

Enterprises need process integrity, not just answers. Klave gives you cryptographic guarantees of data provenance, model lineage, and usage. AI proves what it did and how.

Auditability and Integrity

Process integrity is paramount for auditing AI services and meeting corporate regulations. Klave provides full auditability from input to output, with full lineage across all microsystems. Every action is logged with cryptographic guarantees and stored in tamper-proof audit logs.

Private RAG, Enterprise Ready.

Klave’s Private RAGs ensure complete data privacy and security, while delivering fast, accurate retrieval on fully encrypted knowledge bases. No data leakage, Private RAGs are critical for the AI to instantly and precisely augment its knowledge.

Collective Intelligence

Agents gain access to multiple private RAGs, transforming siloed and unstructured data into usable intelligence with full confidentiality. Intelligence becomes collaborative, yet secure.

How It Works:

• Confidential Computing: Encrypted data, even during inference.
• Private RAG: Context-rich, secure knowledge access.
• Secure AI Inference: LLMs inside tamper-proof hardware.

SMCP: Secure-Enclave Model Context Protocol

We've taken the promise of Model Context Protocol (MCP) and elevated it to an enterprise-grade solution. MCP is a game-changer, eliminating the headache of building bespoke API integrations for every tool, and allowing AI agents to access resources like file systems, wikis, shared drives, and databases in real-time.

By running MCP inside secure hardware, we deliver the verifiability, transparency, privacy, and tamper-proof audit trails that enterprises require.

Build the Future with Us.

Klave is redefining what private AI infrastructure means, built for the most demanding environments. We have one of the strongest data protection engineering team, and have won all international competitions over the last few years:

• 2025: Won the Bank of International Settlement competition on privacy-preserving data analytics
• 2024: Won the Swift competition on ensuring privacy to payments processing
• 2023: Won the G20 competition on ensuring privacy for financial crime data collaboration

Now is the time.

Enterprises and agencies around the world are advocating for the adoption of secure enclaves, especially for AI. We are ahead of a massive shift toward privacy-preserving computing.

• NSA: “Provide secure enclaves for data processing and keep sensitive information protected and unaltered[…] in AI data workflows”
• JPMorgan: “There are solutions available today, like confidential computing which give organizations stronger controls to protect their data”
• Apple: “Nothing short of the world - leading security architecture for cloud AI compute at scale”