Your Data. Your AI.
Enterprises will not upload their sensitive data to AI platforms or let AI Agents freely access their data. This is driven by a combination of commercial and legal reasons.
Models are Generic, Experts are Experts.
AI is only as useful as the data it sees. Enterprises need AI to augment their employees; it needs to be as smart and knowledgeable as them.
Rolling out an AI strategy is only going to reach its goals if the AI can access and process private data.
Use AI with Data Privacy and Integrity Guarantees
Klave for AI delivers the trusted infrastructure you need to harness the full power of AI without ever exposing your data. We guarantee end-to-end data encryption from Retrieval-Augmented Generation (RAG) to inference.
Secretarium’s Confidential Computing Platform
At the heart of Klave for AI lies our revolutionary Confidential Computing platform. Modern microprocessors embed a "black box mode" called a Trusted Execution Environment (TEE). These TEEs ensure that your data remains encrypted in memory and is protected even if the machine itself is compromised. This fundamentally prevents data leaks and unauthorised runtime access, offering a level of security previously unattainable.
“Nothing short of the world-leading security architecture for cloud AI compute at scale.”
– Apple Security Engineering and Architecture
“There are solutions available today, like confidential computing which give organizations stronger controls to protect their data.”
– Patrick Opet, Chief Information Security Officer at JPMorgan Chase
“Provide secure enclaves for data processing and keep sensitive information protected and unaltered […] in AI data workflows.”
– National Security Agency
Confidential Computing
Data Provenance and Model Lineage, Built In.
Organisations demand more than just smart answers from AI. They need to know where those answers came from, what data powered them, and which models were involved. Process verifiability is paramount for auditing AI services and ensuring compliance with corporate regulations.
Businesses are rightfully concerned that AI augmentation might violate data access rules and restrictions. Klave for AI provides cryptographic guarantees of data provenance, versioning, and lineage, giving you complete peace of mind
Your Data. Fully Secure, Yet Fully Useable.
Klave for AI transforms your business logic and AI inference into privacy-preserving, transparent cloud services with verifiable security guarantees.
How Klave for AI works:
Confidential Computing
Data is processed in encrypted and tamper-proof secure hardware. No one can see the data – not even us.
Secure AI Inference
We run LLMs within these encrypted Confidential Computing environments.
Private RAG
We utilise encrypted private RAGs, guaranteeing the privacy and security of your unique knowledge bases.(See below)
Breaking Silos
Our state-of-the-art design facilitates the secure use of private data from multiple, previously siloed parties.
Built to Solve Real World Problems
Klave for AI directly addresses the challenges
faced by enterprises today:
“As a regulated business, I must prove beyond reasonable doubt to regulators how AI was used, with what data, for what outcome.”
– Global CTO, Tier 1 Bank
“I’ve built a great Agentic tool and want to sell it as a service, but can’t convince my customers to use it with their private data.”
– AI Tech Startup
“My ops are too sensitive: I need a partner who’s already sold to defence and a proven record of data security and privacy.”
– AI Innovation - Defence Department
“Whatever AI learns from my conversations, interaction, data, and clients, must stay ours and private.”
– Société Générale
“I’d like to rent my data and knowledge base while never transferring nor disclosing my data to anyone.”
– Teg Tech PM JPMorgan Chase & Co
“As a vibe development company, I can build a great product, but I’m unable to deploy it safely for my customers.”
– Web3 Startup CEO
With Klave for AI, you get enterprise-grade privacy and incredible flexibility for your AI initiatives. Host your models securely on public servers while ensuring every piece of data and interaction remains private. Klave for AI integrates effortlessly with existing Trusted Execution Environments (TEEs) and the broader Klave platform, including your machine-generated input/output systems.
Our platform is incredibly robust, offering optional Raft support for a resilient, backed-up ledger of all interactions across multiple nodes. You will benefit from complete encryption coverage for both public and private LLM deployments, delivering cloud convenience with the privacy you would expect from an on-premise solution – no complex infrastructure build required.
Because Klave for AI is designed for compliance, you will have provable data privacy and security, making regulatory processes much simpler.
How our Confidential Computing Platform Works
Our models are deployed securely, execute with full traceability, and generate outputs that are provably bound to the inputs and models used.
End-to-End Encryption
Data is encrypted from ingestion through processing, guaranteeing complete privacy.
Multimodal, Multimodel, & Multi-Engine
Support for LLaMa.cpp, BitNet, most models on HuggingFace, and custom business logic for prompt enhancement and RAG tools within secure hardware.
Secure Connectivity
Secure connections to Private RAGs, APIs, and the Web.
Complete Verifiability
Full lineage through the measurements of all microsystems involved, and tamper-proof audit trails.
How Private RAGs Works
Private RAGs ensure complete data privacy and security. Private files and data are transformed into semantic representations, critical for the AI to instantly and precisely augment its knowledge. A Private RAG is a combination of three components:
Vector Database
Indexes and stores vector embeddings for fast retrieval and similarity search.
Encrypted Tamper-Proof Governance Database
Manages access rights with cryptographic certainty.
Encrypted Database of Mappings
Securely links vector embeddings back to the original content chunks.
Collective Intelligence
AI Agents can leverage multiple Private RAGs to build collective intelligence from disparate private data sources. With Klave for AI, an agent can connect to multiple private RAGs and build intelligence out of siloed, unstructured private data, all while demonstrating uncompromised confidentiality.
Shaping the Future of Private AI Infrastructure
Klave is not just building tools; we're defining the new standards for secure, transparent, and private AI. With deep experience in confidential computing, cryptography, and AI systems, our team is committed to a world where organisations no longer have to choose between powerful utility and absolute security.
Unrivalled Security & Privacy Guarantees
By keeping data end-to-end encrypted with Confidential Computing, we demonstrably ensure no-one sees your data or has privileged runtime access. Data ownership and privacy are provably preserved.
Provable Data Usage
Customers can cryptographically attest to the security and privacy guarantees of our cloud services. There's no need to "trust us" – our honesty is proven with technology.
Easy for Business, Accessible for All
A secure and trusted infrastructure should be the norm, not an expensive ideal. Our solution is easy-to-adopt, designed to scale, and integrates natively with end-users' devices.
Secure-Enclave Model Context Protocol (SMCP)
MCP is a dream come true. It eliminates the headache of building bespoke API integration for every tool, letting AI agents access resources like file systems, wikis, shared drives, databases and more, in real time.
But enterprises need cybersecurity guarantees, auditability and lineage. By running MCP inside secure hardware, we bring verifiability, transparency, privacy, tamper-proof audit trails, and we make AI Agents compatible with the enterprise world.