Research
The hard problems we work on.
Tenzro Labs does applied research and engineering on open networks, open-source AI, and decentralized networking: how AI can be trained, served, and settled across infrastructure no single party controls.
Active research areas
- 01Verifiable trainingHow to train models across many contributors and prove the work was done correctly — so results can be trusted without trusting any single party.
- 02Trusted inferenceHow to serve AI across independent operators with usage that is metered precisely and results that can be independently verified.
- 03Confidential computeHow to run AI on sensitive data so that it stays private even from the operators of the hardware — with proof that the protection is real.
- 04Agent identity & settlementHow autonomous agents prove who they are, act within clear limits, and pay for what they use — with a full record of what happened.
- 05Distributed AI clustersHow to run high-performance AI across efficient, widely available hardware — bringing capable AI to places large data centers don’t reach.
- 06AI governanceHow to make AI rules enforceable in the systems themselves — open standards, verifiable records, and controls that hold in practice, not just on paper.
Where to find it
The network's code is open, in the Tenzro Network repository.
The Tenzro Network is open source. Read the code, the papers and the specifications, and build on the open standards that let AI systems work together across organizations.