The all-in-one control panel for enterprise GenAI.
The 40-tool GenAI stack is the problem, not the baseline. AI Foundry replaces it with one control panel — maximum infrastructure performance, minimum total cost of ownership, and end-to-end control from deployment to compliance. Hybrid by default.
One serving plane for production GenAI.
Inference, guardrails, observability, evaluations, identity, and FinOps — optimized together so your AI initiative runs as a profit center, not a cost center.
Forty tools become one control panel — and AI becomes a profit center.
Maximum infrastructure performance, minimum total cost of ownership, and end-to-end control from deployment to compliance. Because inference, guardrails, cost, and observability are optimized together — not stitched across point tools — the gains compound instead of cancelling out.
Six things only the whole plane can do.
Point tools each do one slice. These come from inference, guardrails, cost, and observability living on one plane — and they're why Bud AI Foundry replaces the forty-tool stack instead of joining it.
Automated golden path
Onboard → govern → evaluate → size → deploy → serve — the whole path from registry to governed production, automated.
Auto performance optimization
Per-model parallelism, quantization, and execution — chosen for you, per workload and hardware.
Unbypassable policy plane
Every request crosses the sub-millisecond gateway — guardrails, identity, and audit enforced at one point.
Cost as a first-class surface
Cost-aware routing, budgets and rate limits per project, team, and agent — hardware sized before you spend.
Sovereign by design
Runs in your perimeter on hardware you own — air-gapped included. No vendor or accelerator lock-in.
Frictionless migration
OpenAI-compatible APIs and SDKs mean existing clients move to Foundry without a rewrite.
What's inside the control panel.
Foundry is built from named components across its cooperating planes. The six evaluators ask about most — the full inventory is in the product brief.
Bud Runtime
The universal inference engine — auto parallelism, quantization, and execution across CPU, GPU, HPU, and NPU.
Bud Gateway
The standards-compatible data plane every request travels — routing, auth, and policy enforcement in under a millisecond.
Semantic Router
Directs traffic across SLMs, LLMs, and hardware tiers by cost and SLO — the engine behind hybrid-by-default.
BudSimulator
The sizing engine — models your workload and picks cost-optimal hardware and serving settings before you deploy.
Agent Runtime
Tool-using execution for agent workloads, with a Secure Sandbox and Document Engine built in.
Bud Sentinel
The guardrail engine inside Bud SENTRY — scans every inbound and outbound request at serving time, CPU-native.
The full story, in depth.
The architecture, benchmarks, and methodology behind the claims, in full.
Product Brief
Bud AI Foundry Product Brief
The deep-dive product reference
Full capability matrix, deployment templates, supported models and hardware, and the methodology behind the 3× / 12× / <1ms performance claims.
Read the product briefWhite Paper
Bud AI Foundry Whitepaper
The Sovereign Control Plane
A model registry with computed governance, a hardware-sizing optimizer, a multi-cloud deployment engine, and a runtime that wires governance, cost, safety, and observability into every request.
Read the white paperPut your data on it.
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.