Your partner for sovereign AI.

Northwood deploys and operates private, audited AI for your proprietary research, documents, operations, and knowledge.

Request a demoSee the architecture
Data controlKeep proprietary knowledge under your controlYour research, documents, and workflows should not become someone else's training data or black box.
Full-stack ownershipOwn every layer of deploymentCompute, models, retrieval, agents, integrations, permissions, audit logs, evals, and workflow controls.
Model fitUse the right model for the jobOpen models, commercial models, self-hosted inference, or approved GPU providers, without rebuilding your workflow layer.

One accountable deployment across every layer of the AI stack.

Most AI products give teams access to a model or a chat interface. Northwood helps organizations deploy the full workflow stack around their proprietary knowledge: the best open models, the infrastructure to run them efficiently, retrieval, agents, integrations, permissions, evals, audit logs, and ongoing operations.

Architecture · interactive
Rotate
04

Operations

Workflow monitoring, evals, user support, security documentation, ongoing improvement, and managed deployment support.

Workflow monitoringEvalsUser supportSecurity docsModel upgradesExpansion support
03

Software

Knowledge agents, workflow agents, integrations, permissions, citations, audit logs, admin controls, and human approval flows.

Knowledge agentsWorkflow agentsIntegrationsPermissionsCitationsAudit logsHuman approval
02

Models

Model selection, routing, fine-tuning, evaluation, and provider strategy: open-weight or approved commercial, chosen to fit your environment.

SelectionRoutingFine-tuningEvaluationDeployment policyProvider strategy
01

Compute

Dedicated GPUs right-sized for utilization and cost per token, private infrastructure, customer tenancy, secure networking, and controlled egress.

Dedicated GPUsPrivate infraCustomer tenancySecure networkingControlled egress

From controlled pilot to owned AI deployment.

Start with one team, one knowledge domain, and one high-value workflow. Northwood helps define the deployment architecture, configure the model layer, connect approved sources, implement permissions, add evals, and deploy the workflow into the environment your team chooses.

Engagement startStep 01 of 05Production system
Stage
Discovery
Duration
Week 1
Step
01 / 05

Discovery & audit

We map your knowledge sources, workflows, users, security requirements, and approval paths before provisioning any infrastructure.

Deliverables
+Knowledge inventory
+Workflow map
+Risk register
+Deployment brief

Ownership of the stack means ownership of the outcomes.

Data control

Keep proprietary knowledge under your control.

Your research, documents, workflows, and internal context should not become someone else's training data, logs, or black box.

Full-stack ownership

Own every layer of deployment.

Northwood helps deploy across compute, models, retrieval, agents, integrations, permissions, audit logs, evals, and workflow controls.

Model fit

Use the right model for the job.

Use open models, commercial models, self-hosted inference, customer cloud, dedicated infrastructure, or approved GPU providers without rebuilding your workflow layer.

Open-source AI powered workflows, built for the teams whose knowledge is the edge.

Northwood works with investment teams, legal teams, technology companies, and organizations already using enterprise AI tools that need more control over where their proprietary knowledge goes, and want their AI to run faster and cost less on infrastructure they own.

Your knowledge, your models, your AI deployment.