About Tenzro
AI That's Private
Tenzro is building privacy-preserving AI infrastructure for the next generation of applications. Run models anywhere, train collaboratively, verify everything.
Our Mission
Traditional AI platforms require sending data to centralized servers, creating privacy risks, compliance challenges, and vendor dependencies. We're building a better way.
Tenzro enables private AI at global scale through three core capabilities: private execution in browsers, mobile apps, servers, and TEEs; collaborative learning through federated training without data sharing; and verified intelligence through cryptographic proofs of model provenance and execution integrity.
Beyond infrastructure, Tenzro provides a complete framework for building AI platforms with multi-model orchestration, agent systems, knowledge bases, and autonomous improvement through data flywheels and reinforcement learning.
Design Principles
Core principles guiding our development
Privacy by Default
Local execution preferred, TEE with defense-in-depth, differential privacy built-in
Global Coordination
Flat network topology, peer-to-peer discovery, no hierarchies
Verification First
Cryptographic signatures, TEE attestations, transparent audit trail
User Sovereignty
Anonymous identity, data ownership, model portability
Composable Architecture
Infrastructure and framework for building complete AI platforms with custom ecosystems
Roadmap
Our journey to production-ready privacy-preserving AI
Beta Launch
Core SDK, Identity, basic collaborative learning
Platform SDK
Model marketplace, MCP integration, mobile SDKs
Mainnet Launch
Tenzro Ledger live, full verification infrastructure, data marketplace
Enterprise Features
Agent orchestration, autonomous improvement systems, ecosystem expansion
Advanced Privacy
Enhanced ZK proofs, reference platforms, hardware wallet integration