Foundry is rebranding itself as Mithril, reflecting its mission to simplify access to distributed AI compute.
According to the company, “the Mithril brand embodies the platform's mission: transforming powerful but traditionally rigid AI infrastructure into a fluid, universally accessible resource for AI practitioners.”
In parallel to this rebrand, Mithril is introducing its batch inference service, which improves price-performance by 2–5x for large-scale AI workloads such as document analysis, content generation, and multimodal annotations, the vendor said.
"Traditional AI cloud procurement models mean that AI-native companies need to constantly shop around for the best compute prices and often need to buy more than what they actually need," said Jared Quincy Davis, founder and CEO of Mithril. "By building on our omnicloud platform, Mithril customers have been able to massively simplify getting access to the compute they need. Rather than spending effort negotiating with every cloud, they can provision compute for a few hours or multiple months through a single platform with transparent, market-based pricing."
Mithril's omnicloud platform is designed to virtualize capacity across multiple providers and distribute it through a fluid market with transparent pricing. By aggregating capacity in this way, Mithril can provide customers with the best economics for AI compute without bespoke negotiations or long-term contracts, the company said.
The service enables customers to run compute-intensive tasks—such as document summarization, video transcription, multimodal annotation, and synthetic data generation—at a fraction of the traditional cost.
With simple, token-based pricing and support for both off-the-shelf and custom models, teams can submit jobs of virtually any scale and rely on Mithril to handle orchestration, scaling, and infrastructure reliability.
With the addition of batch inference, Mithril extends its core mission: to make compute as universally available and accessible as electricity. Whether provisioning GPUs for foundational research or scaling inference workloads across enterprise datasets, Mithril's omnicloud platform provides AI teams with the flexibility, efficiency, and simplicity they need to push the boundaries of what's possible, according to the vendor.
For more information about this news, visit https://mithril.ai.