Local AI1.2s response · 0 egress
Private clinical assistant for a 6-hospital network
Air-gapped LLM serving 1,400+ clinicians with zero PHI egress and sub-1.5s responses.
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IT infrastructure for the AI era
From silicon
to silicon.
MO Systems engineers end-to-end IT for the modern technology era — local AI deployment, custom fine-tuning, infrastructure, and networking. Built to last. Documented to scale.
Privacy-first by defaultOn-prem · Hybrid · Multi-siteest. 2019
Local AI
Private, on-prem inference — no data egress.
Fine-Tuning
Specialist models trained on your domain.
Infrastructure
Databases, servers, virtualization — built to last.
Networking
Structured cabling and secure connectivity.
Why MO Systems
Engineered, not templated.
Accountable end to end.
Most IT vendors stop at one layer. We pull cable and serve tokens — one team, one phone number, one accountable owner across the whole stack.
01
Engineered, not templated
Every engagement starts with a real architecture. We benchmark, we document, we own the outcome — no copy-paste stacks.
02
Silicon to silicon
From pulling cable to serving tokens — one team accountable across the physical and the model layer. Fewer handoffs, fewer surprises.
03
Privacy-first by default
Air-gapped, on-prem, zero-egress deployments aren't a special request — they're a starting point. Your data stays your data.
04
Documentation you'll actually use
As-builts, runbooks, and diagrams delivered with every project. The next person to touch the system — even if it isn't us — will thank you.
Want the details? Read about how we work
Services
Four practices.
One accountable team.
Each capability stands on its own — but the magic is the handoff-free path between them. Click any service for the full breakdown.
// 04 disciplines
Not sure what you need?
Tell us where it hurts. We'll figure out the right shape of the engagement together.
Process
How we work — consult, design, deploy, support.
No black boxes. Every engagement follows the same four-stage rhythm, with you in the loop at every gate.
- 01
Consult
We sit down with your team, map the constraints, and define what success looks like in measurable terms.
- 02
Design
Architecture, BOM, and a written plan — reviewed with you before a single cable is pulled or model downloaded.
- 03
Deploy
Controlled implementation with rehearsal for risky cutovers. Rollback plans ready. Zero-surprise go-lives.
- 04
Support
Hand-off with full documentation, optional retainer support, and a clear path for the next phase of growth.
// The stack we build on
OllamavLLMPyTorchHugging FaceNVIDIA CUDAPostgreSQLProxmoxKVMRedisMongoDBUbiquitiOPNsenseWireGuardTailscaleAnsibleTerraformDockerKubernetesPrometheusGrafanaOllamavLLMPyTorchHugging FaceNVIDIA CUDAPostgreSQLProxmoxKVMRedisMongoDBUbiquitiOPNsenseWireGuardTailscaleAnsibleTerraformDockerKubernetesPrometheusGrafana
200+
Deployments delivered
0
Data egress events on private AI
99.98%
Uptime across managed infrastructure
<1.5s
Avg LLM response, on-prem
Work
Selected projects,
measured outcomes.
A sample of recent engagements across the four practices. Numbers attached — we benchmark before we claim.
// 6 case studies
Fine-Tuning+23pt accuracy
Legal contract-review specialist
QLoRA fine-tune lifted clause-citation accuracy from 71% to 94% on held-out contracts.
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Infrastructure6x faster · 0 loss
Legacy SQL Server → Postgres migration
Replaced 12-year-old failing hardware with a tuned Postgres cluster. 6x faster, zero data loss.
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Networking3 sites · 0 manual failovers
3-warehouse network unification
Cat6a pulls, segmented VLANs, and dual-WAN SD-WAN linking three logistics sites.
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Local AI200 concurrent users
Multi-node inference cluster for a research lab
4-node vLLM cluster with dynamic batching serving a 70B model to 200 concurrent researchers.
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Infrastructure2 racks · 3 weeks
Greenfield rack build-out for a fintech
Two full racks — compute, storage, networking — designed, procured, racked, and documented in 3 weeks.
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About
A small team that owns the whole stack.
MO Systems started in 2019 wiring offices and migrating aging databases. Today we deploy on-prem LLM clusters and the racks they run on — one accountable team across silicon to silicon.
The industry splits IT into fiefdoms — cabling crews, infrastructure admins, ML engineers — each pointing at the next when something breaks. We never liked that model.
So we built MO Systems to be the team that pulls the cable, racks the server, tunes the database, and serves the model — with one runbook, one phone number, and one owner of the outcome.
Own the outcome
We don't hand off half-working systems. If we touched it, we stand behind it — at 2am if we have to.
Document everything
If it isn't written down, it didn't happen. Future-you (and future-us) deserve a map.
Benchmarks over vibes
We measure before we recommend. Claims about performance come with numbers attached.
Privacy is the default
Your data doesn't need to leave your building to be useful. We design for that from day one.
// Milestones
2019
MO Systems founded
Started as a two-person shop wiring small offices and migrating legacy databases.
2021
Infrastructure practice formalized
Expanded into rack build-outs, virtualization, and managed Postgres deployments.
2023
AI practice launched
Began deploying on-prem LLMs as enterprises asked for AI without data egress.
2025
Full-stack silicon-to-silicon
One team across physical infrastructure, networking, and model deployment — today.
Contact
Tell us what you're building.
Fill out the form and we'll get back within one business day. Prefer email? Reach us directly at info@mosystems.net.
Direct line
Email
info@mosystems.net
Response time
Within one business day
Coverage
Remote & on-site, worldwide
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