Production AI that costs less and answers for itself.
Northwood deploys and operates open-source models and inference tooling for AI-native companies: higher inference quality, lower cost, and production AI you can hold accountable.
Frontier where it counts. Open source everywhere else.
The best production AI isn’t open or closed. It’s governed. Keep frontier models on the workloads your policy reserves for them; let validated lower-cost models handle the rest. Millwright applies those rules at one self-hosted endpoint and exposes why each request was routed, without inspecting prompt content.
See how Millwright routes it→Open-source infrastructure, operated as one accountable system.
Northwood builds open-source infrastructure for model evaluation, routing, cost analysis, and production control, then uses those projects in customer deployments. Models and providers can change while the policy, evidence, and operating layer remain portable.
Operations
Northwood operates the deployment across cost, quality, reliability, provider changes, model upgrades, and ongoing production support.
Open-source software
Northwood-built projects provide model routing, cost analysis, decision records, and operational visibility without requiring a hosted control plane.
Models and policy
Open and commercial models are assigned by workload and risk, with explicit quality requirements and approved deployment destinations.
Inference
Frontier APIs, hosted open-model providers, customer VPCs, or dedicated GPUs, chosen per workload for quality, cost, and confidentiality.
From one workload to inference you operate.
Start with one workload and one cost or quality problem worth solving. Northwood defines the architecture, deploys the open-source control layer, encodes your model policy, connects approved providers or your own compute, and puts the first route into production.
Discovery & audit
We map your current inference spend, workloads, quality requirements, providers, and constraints before provisioning any infrastructure.
Ownership of the stack means ownership of the outcomes.
Your traffic never leaves your environment.
The control layer runs as a single self-hosted binary. Your prompts, keys, routing logic, and cost data stay on infrastructure you own, not in a vendor dashboard.
Own the rules behind every route.
Northwood-built open-source tools keep model policy, provider access, cost evidence, and production decisions inspectable and portable.
Every decision carries a receipt.
Each route records the model chosen, the cost, and the reason. Production AI you can audit and explain, not take on faith.
Open-source inference tooling, built for the teams shipping AI in production.
Northwood works with investment teams, technology companies, and enterprises already building on AI that need production inference to cost less, hold its quality, and answer for every call, on infrastructure they control.
Your knowledge, your models, your AI deployment.
Northwood helps technical teams move from a single model or prototype to governed, model-portable inference. Our open-source projects provide the control layer; Northwood deploys and operates the complete system.