Coming soon
Future slot
Additional Rendix subnet initiatives are in active research and development.
Subnet Vision
Rendix is interested in subnet opportunities where incentives, utility, and technical defensibility reinforce one another. The end goal is open intelligence infrastructure with real staying power.
Design criteria
Useful outputs, healthy participant incentives, and enough architectural clarity that the subnet can improve over time.
Subnet Portfolio
A live and expanding portfolio of Bittensor subnets focused on durable utility and strong mechanism design.

A Bittensor subnet focused on video generation, designed to reward high-quality visual outputs and continuous model improvement.
Coming soon
Additional Rendix subnet initiatives are in active research and development.
Coming soon
Additional Rendix subnet initiatives are in active research and development.
Focus Areas
Rendix focuses on subnet ideas where miner behavior, validator scoring, and end-user utility reinforce each other over time.
We prioritize tightly scoped tasks like retrieval, ranking, and verification so miner output is measurable, comparable, and worth paying for.
Each concept starts with scoring design: reproducible benchmarks, adversarial checks, and incentive logic that rewards honest validation.
A subnet should expose practical outputs through clean APIs and integration paths so builders can use it directly in real products.
Build Principles
Our subnet roadmap favors mechanisms that can survive open competition: clear tasks, transparent scoring, and repeatable user value.
We define the reward surface first, then design features around the exact miner and validator behavior the subnet needs.
Durability comes from better data pipelines, tighter evaluation loops, and operations that compound quality every tempo.
We plan for validator uptime, monitoring, abuse resistance, and fast iteration so the subnet performs under real network pressure.

Back to the brand story
See how the homepage frames Rendix: a team building practical Bittensor subnets with strong mechanism design and execution.