Ashr Manifold is a self-contained model training, hosting, observability, and continual learning platform for purpose-built open-weight models. Startups can use Manifold to post-train and manage fleets of continuously improving open-weight models without having a dedicated research team or infrastructure. Ultimately, this reduces operating costs and allows a greater degree of control over proprietary company knowledge. Enterprises can use Manifold to encode institutional judgements and priorities into open-weight models, reduce token costs, and manage every level of the AI life cycle, from data curation, to model serving on weights and infrastructure they own.
The company was founded by Rohan Kulkarni; Shreyas Kaps. It is part of YC Winter 2026. It is based in San Francisco, CA, USA.