Private AI workflows for technical teams with proprietary knowledge.
Northwood helps technical companies deploy model-portable AI workflows for internal knowledge, documentation, code, support, customer operations, and engineering workflows.
Your team's knowledge is the edge. Keep it there.
Your team's knowledge is spread across code, docs, tickets, customer conversations, internal tools, design decisions, and operating context. Northwood helps turn that knowledge into controlled AI workflows your team can deploy, evaluate, and extend.
The difference from generic AI tools: the model runs in your environment, sources are scoped and permissioned, every response cites its source, and your proprietary code, customer context, and internal knowledge stay under your control.
Controlled AI workflows across your stack.
Internal knowledge and documentation
AI workflows across code, docs, tickets, design decisions, and internal tools — scoped to your repositories and permissioned to the right teams. Engineers get answers without leaving your environment.
Customer support knowledge workflows
A controlled AI layer across your product knowledge, customer history, and support documentation. Consistent, grounded responses — without customer context leaking into third-party logs.
Sales engineering and product context
Technical answers scoped to your product, customer conversations, and internal playbooks. Sales teams get accurate, sourced responses without relying on institutional memory.
Onboarding and internal enablement
Turn operating procedures, runbooks, and institutional knowledge into searchable, governed AI workflows. New team members get the right context faster; senior staff stop answering the same questions.
Common workflows
Private knowledge. Model-portable workflows. Start with one.
Most engagements start with one team, one knowledge domain, and one high-value workflow. Northwood helps map the deployment path from there.