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Production AI, in production.

Named deployments across financial services, government, healthcare, retail, and manufacturing.

Global Fashion Brand NxtGen India Income Tax Dept. Healthcare Enterprise Manufacturing Ref.
Featured · Retail

Global Fashion Brand's Style Agent: 80% lower AI cost, same accuracy.

Bud AI Foundry replaced the OpenAI stack with a domain-tuned SLM and an LLM-as-judge architecture — 80% lower spend on existing infrastructure, no GPU upgrade. Same accuracy (85.44% vs. 85.46%), responses cut from 20s to 6s.

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Content needed · case-study pages

Only the Global Fashion Brand case study has a detail page (case-study.html). The other five cards above link there as a stand-in. Needed: full case-study pages for NxtGen, Income Tax Dept., Healthcare Enterprise, Hex-1, and FSI back-office — each gated on customer name approval (see IA "Decisions Required"). The five engineering benchmarks from the live site now live under Case Studies, not here.

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The fastest way to see what an integrated AI operating system does for your enterprise is a proof-of-concept on your infrastructure, with your data.

01 Identify a use case where complexity, cost, or governance is a known pain point.
02 Joint discovery — Bud maps your AI pain points to platform capabilities.
03 POC in days, on your hardware, with your data.