Enterprise On-Prem Node & Multi-Agent Engine
Mid-market private AI for 50–200 person orgs.
For mid-market companies looking to replace high-volume cloud API fees with an internal, multi-department private AI infrastructure that scales across teams — without vendor lock-in.
Fit criteria.
- +50–200 employee companies with cross-department AI needs
- +Firms whose cloud AI bills have crossed $2k/mo and are still growing
- +IT organizations required to keep data on-prem
- +Teams building multiple internal AI-assisted workflows
Scope of work.
Delivery cadence.
Hardware spec, security review, RAG integration mapping, agent scoping.
Hardware provisioned, models deployed, RAG pipelines connected, agents scaffolded.
Team-by-team enablement, playbooks issued, retainer support begins.
What ships.
- →Production-grade on-prem AI stack
- →Integrated RAG across file systems
- →3+ custom departmental AI agents
- →Audit + governance logs
- →SLA-backed monthly retainer
What you should expect.
- ↗60–90% reduction in cloud AI API spend
- ↗Institution-wide AI availability without data risk
- ↗Compounding productivity as agents mature
Why Private AI Deployment matters right now.
Enterprise AI is moving from experiment to infrastructure. Every quarter you delay a private/on-prem deployment, your data leaves your control and your compliance surface widens.
Public API tools leak proprietary data. Employees paste customer info into ChatGPT daily. Every leaked prompt is a potential regulatory event and a competitive advantage handed to your rivals.
Cost vs. value — do the math.
What you actually get.
- Production-grade on-prem AI stack
- Integrated RAG across file systems
- 3+ custom departmental AI agents
- Audit + governance logs
Typical payback trigger: 60–90% reduction in cloud ai api spend.
Why now — not next quarter.
The AI infra window is closing. Enterprises deploying now lock in the operational advantage. Late movers pay 3–5x more, take twice as long, and inherit legacy pain.
Common questions.
How does this compare to Copilot / Enterprise ChatGPT costs?
For orgs with 50+ AI users, the on-prem TCO breaks even in 12–18 months — and then compounds savings indefinitely.
What happens if a model gets deprecated?
Because we deploy open-weight models on your hardware, nothing gets deprecated on someone else's timeline. Upgrades are your call.
Private AI Sandbox & Knowledge Base
$750 / mo
Zero data-leakage AI for professional service firms.
Turnkey On-Prem Appliance & Custom Fine-Tuning
$3,500 – $5,000 / mo
For regulated enterprises where cloud AI is a non-starter.
Comprehensive AI Architecture & Security Audit
$8,500 – $15,000
Deep-dive on security posture, data readiness, integration potential.
Scope Enterprise On-Prem.
Founder-sponsored scoping. No sales-team gauntlet.