Managed private inference · Industrial Midwest

AI is moving out of the cloud and onto the plant floor. We build it, run it, and answer the phone.

Teknet AI designs, deploys, and operates private inference infrastructure for manufacturers and regulated firms — on-prem, at the edge, or in colocation we broker on your behalf. One architect, end to end, on a monthly plan.

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Inference, not training, is where AI spend lives long-term / the workload follows the data Mid-market manufacturers can't send CAD, pricing, and QC data to public APIs / custody is the product Virtualization licensing costs are exploding / every renewal is a replatforming conversation Capable open models now run on a single box / the hardware finally fits the budget Recurring operations beat one-time projects / infrastructure is never "done"
/ The five-year thesis

The money in AI isn't the model. It's the demo running inference where the data lives — forever.

Training frontier models is a hyperscaler's game. But inference is the electricity bill of AI — it runs every day, in every business, and it keeps growing. As open models close the capability gap, that workload is moving onto hardware companies own and control: their racks, their plants, their colo cages.

Nobody is serving the mid-market manufacturer with 200 employees, a hostile virtualization renewal, and a customer demanding AI in the quote process. The hyperscalers won't visit. The big integrators won't pick up. We're the infrastructure partner that does both — and stays on retainer.

/ Where the spend is going 2026 → 2031
InferenceBecomes the dominant, recurring AI workload — and runs wherever the data lives↑ compounding
On-prem & edgeCapable models on single-box hardware pull workloads out of public clouds↑ structural
ColocationPower-constrained market; brokered capacity earns residuals for years↑ scarce
Managed AI opsModels, GPUs, and pipelines need care and feeding — monthly, not once↑ recurring
Per-token APIsStay essential for frontier tasks — but lose the steady, private workloads→ commodity
/ Three engines, one stack Project → Deploy → Recur
Engine 01 · Project revenue

Infrastructure modernization

Enterprise-grade architecture for mid-market budgets: virtualization exit planning, hybrid replatforming, and network design that makes private AI possible in the first place.

  • Virtualization cost & exit assessments
  • Network and VLAN architecture
  • Storage, backup, and DR design
High-ticket · The door opener
Engine 02 · Deployment revenue

Private AI deployment

Inference infrastructure sized to the job: a single DGX-class box in your server room, edge nodes on the plant floor, or a brokered colocation cage when you outgrow the building.

  • On-prem LLM & RAG deployments
  • Plant-floor vision & QC inference
  • Colocation brokerage & migration
Hardware + margin · The build
Engine 03 · Recurring revenue

Managed AI operations

The engine that compounds. Monitoring, model updates, capacity planning, and a human who knows your environment — on a monthly plan, plus colo residuals that pay for years.

  • 24/7 monitoring & patching
  • Model lifecycle & eval management
  • Quarterly capacity & cost reviews
MRR + residuals · The moat
/ The wedge

Your virtualization renewal just tripled. Your AI budget is next — unless the same boxes do both.

Licensing shocks across the virtualization market have put every mid-market renewal on the CFO's desk. That's our opening: we've architected global virtual environments for a Tier 1 automotive supplier, and we turn that renewal crisis into a replatforming plan — one where the new infrastructure is AI-ready on day one.

One assessment answers two questions at once: what your infrastructure should cost, and where private AI pays for itself first. The renewal pays for the modernization. The modernization carries the AI.

Virtualization renewal & exit analysisWeek 1–2
AI-ready target architectureWeek 2–3
Private inference pilot — no capexWeek 3–6
Deploy, migrate, hand to managed opsWeek 6+
/ Where private AI pays first Real workloads · Measured results
Quoting & estimatingDraft quotes from drawings, specs, and your pricing history — without that history leaving the buildingHours → minutes
Document intelligenceAsk questions across contracts, SOPs, and engineering docs and get cited answersFind it instantly
Quality & inspectionVision models on the line that flag defects before they ship — no cloud round-tripCatch it early
Compliance & legalReview and summarize sensitive client matter with full data custody and an audit trailPrivileged stays private
Tribal knowledgeCapture what your 30-year veterans know into a searchable assistant before they retireKeep the know-how
/ Managed plans Fixed monthly · No per-token billing
Pilot Project fee · 4–6 weeks

A working private deployment against your real data — with measured accuracy and cost numbers before any capital moves.

  • Readiness & data assessment
  • Working pilot, no capex required
  • Production sizing & business case
Start a pilot →
Operate Monthly retainer

Your private inference stack, deployed on hardware you own and run by us — monitored, patched, and improved every month.

  • On-prem or colo deployment
  • 24/7 monitoring & model updates
  • Quarterly capacity & cost review
  • Direct line to your architect
Talk through scope →
Scale Retainer + brokerage

When the workload outgrows the building: brokered colocation capacity, migration, and multi-site operations under one plan.

  • Colocation sourcing & negotiation
  • Migration & multi-site networking
  • Capacity planning as you grow
Plan the move →

Enough about the market — let's talk about your renewal, your data, and your first workload.

Where are you today?

Opens our calendar — pick any time that works.

With us, it runs.

We're based in Northville / Novi, Michigan and make house calls anywhere in Metro Detroit — your server room, your plant floor, or coffee off Woodward.

Northville · Novi · MI Serving Metro Detroit & the industrial Midwest