Research
The hard problems we work on.
As the primary developer of the Tenzro Network, Tenzro Labs does the applied research and engineering behind sovereign AI — how AI can be trained, served, and governed on infrastructure that organizations own and control. The open papers and specifications are stewarded by the Tenzro Foundation.
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 providers 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 operator 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 work is open — code in the Tenzro Network repositories, papers and specifications through the Tenzro Foundation.
Tenzro Labs contributes the working code to the public Tenzro Network repositories. The Tenzro Foundation, the non-profit steward of the public-interest work, publishes the papers and specifications and holds the open standards that let AI systems work together across organizations.