inference has two core technical components, and both of their published papers are now available on Cornell University's academic paper platform http://arxiv.org. They are: JSTprove and DSperse, two open-source zkML (zero-knowledge machine learning) frameworks developed by @inference_labs. Officially launched in October 2025, JSTprove provides a CLI toolkit for generating zero-knowledge proofs for AI inference, while DSperse enables distributed verification through model slicing. Together, they address trust issues in verifiable AI across fields like DeFi, healthcare, and finance. The team was founded in 2023 in Hamilton, Ontario, Canada, with a team size of 11-50 people, focusing on verifiable AI and Web3 technologies. Core members: - Colin Gagich (CEO): Previously involved in the hitchBOT project - Ron Chan (Co-founder) - Technical contributors: Jonathan Gold, Tristan Freiberg, Haruna Isah, Shirin Shahabi (arXiv paper authors); Dan Ivanov (core author of DSperse) - Active GitHub developers: jsgold-1, HudsonGraeme (Spencer), and others The team remains active on GitHub, with updates like benchmarking and BatchNorm support still being submitted as of December 12, 2025. The community continues to push test integrations forward through PRs and discussions on Twitter.