BitFan
Public Service Atlas for Bittensor
BitFan
DSperse lets developers and organizations run AI computations and receive cryptographic proof that the promised model really produced the result, instead of trusting a black-box service.
DSperse is infrastructure for verifiable AI inference. In plain English, it tries to answer: “Did this exact model really run on this exact input and produce this exact output?” Its docs and repo describe a workflow that breaks models into smaller segments and proves only targeted parts rather than trying to prove a whole model at once. The real target user is a developer, infrastructure team, security-sensitive application builder, or enterprise user that needs auditable AI results. It is not a consumer app. What is usable today: public docs, Studio, stats dashboard, open-source repos, CLI, Python package, and release notes. What is incomplete: mainstream commercial packaging, public price list, verified customer roster, and very simple non-technical onboarding.
The real target user is a developer, infrastructure team, security-sensitive application builder, or enterprise user that needs auditable AI results. It is not a consumer app.
Verified user count, customer count, revenue, and profit: No reliable public source found. Public proof-volume numbers such as 300M+ proofs are project claims unless independently verified.
Closest alternatives include EZKL, RISC Zero/Bonsai, Lagrange DeepProve, and Succinct SP1. DSperse appears strongest where users need verifiable AI computation specifically; it appears weaker on commercial proof and mainstream product packaging.
DSperse is a real developer-facing product for verifiable AI computation. It has strong technical signals and public tooling, but public commercial evidence is still limited.
