Services · early access to the OS

Get the OS into production today.

These four engagements are how early partners put the Nrth Agentic OS to work right now — while it's still in active development. Pricing and delivery timelines included: commercial clarity, not "contact us for a quote."

✦ Engagements

Four ways in.

Each one is a way of deploying or accessing the OS — from a single agent to your own on-premise platform.

01Agents on the OS

AI Employees

An AI employee is an agent running on the Nrth Agentic OS — it replaces or augments a specific role: document processing, customer support, technical analysis, internal knowledge work, or specialized workflows. 24/7, at a fraction of the cost of a full-time hire.

What's included
  • →Discovery of the role or workflow to be automated
  • →Custom AI agent built around your processes
  • →Integration with your existing tools and data
  • →Deployment on local infrastructure (no data leakage)
  • →Ongoing optimization and monitoring
Typical delivery1–3 weeks from kickoff to deployment.
InvestmentSetup from ~$5,000; monthly operations from $500. Typical total cost: 15–35% of an equivalent full-time hire.
Best fitOrganizations looking to scale capacity without adding headcount — especially roles with repetitive cognitive work, structured analysis, or high-volume processing.
02Platform setup

On-Premise AI Infrastructure

The infrastructure the OS runs on, built and deployed on your own hardware. We design, build, and configure the full stack — from hardware selection to model deployment to security architecture — so the OS runs AI entirely inside your network.

What's included
  • →Hardware specification and procurement support
  • →Local language model deployment (open-source or licensed)
  • →Custom fine-tuning on your organization's data
  • →Security architecture and access control
  • →Documentation, handover, and team training
Typical delivery2–4 weeks from kickoff to operational system.
InvestmentTypically $10,000 to $100,000+ depending on scale, with optional monthly operations support.
Best fitRegulated industries, organizations handling sensitive data, or any business that treats data sovereignty as a strategic priority — not a checkbox.
03Custom builds

Custom AI Development

Custom builds on the OS — tailored systems around your proprietary data, processes, and goals. When off-the-shelf tools don't fit, we design and build the workflows, agents, and skills that do — from first concept to deployed solution.

What's included
  • →Discovery and scoping workshops
  • →Architecture and solution design
  • →Custom model development, fine-tuning, and integration
  • →Testing, deployment, and documentation
  • →Optional ongoing development and feature work
Typical delivery4–16 weeks depending on scope and complexity.
InvestmentFixed-price per project. Small from ~$15,000; mid-size from $40,000; enterprise from $100,000 and up.
Best fitOrganizations with a specific problem that requires a purpose-built AI solution — typically where existing tools fall short on data sensitivity, integration depth, or domain specificity.
04OS adoption

AI Strategy & Advisory

Executive-level advisory for leaders adopting the OS and AI more broadly. Before deploying anything, we help you understand where AI creates real value in your organization, what to prioritize, and how to avoid the most common (and expensive) mistakes.

What's included
  • →AI Readiness Assessment — 3–5 days of analysis with a written roadmap
  • →AI Strategy Sprint — 2-week intensive with implementation plan, ROI model, and prioritized pilot scope
  • →Executive Advisory Retainer — ongoing monthly advisory for leadership teams
Typical delivery1–2 weeks for assessment and sprint engagements.
InvestmentReadiness Assessments from $3,500; Strategy Sprints from $7,500; Executive Retainers from $2,500 / month.
Best fitCEOs, CxOs, and executive teams who want clarity before commitment — and a partner who tells them what won't work, not just what will.