Domain and practice rooted in long-horizon infrastructure work
Precision Engineering Studio
Custom network architecture, hybrid cloud and on-premise AI, and production-grade automation — engineered for teams that cannot afford generic tooling.
Domain and practice rooted in long-horizon infrastructure work
Bespoke solutions — no reseller catalogs
Cloud orchestration with local AI where data must stay on-premise
01 — Advanced Network Technology
Enterprise routing, segmented VLANs, zero-trust access, and observability stacks designed around how your business actually operates — not a vendor diagram.
UniFi, Cisco-class, and custom gateway design. Redundant paths, policy-based routing, and hardware selection grounded in real throughput requirements.
Cloudflare Tunnel, WireGuard, and certificate-based access layers that expose only what must be reachable — with audit trails and session controls.
Grafana, Uptime Kuma, flow analytics, and camera integrations unified into dashboards that surface anomalies before they become outages.
“The network is not plumbing. It is the nervous system every other system depends on.”
02 — Cloud & Local AI
Not every workload belongs in a public API. Fraynet designs systems that route sensitive inference to on-premise hardware while leveraging cloud models where scale and freshness matter.
03 — Image & Video Generation
From animation studio batch rendering to AI-assisted creative production — compute clusters, queue management, and storage tiers tuned for heavy media workloads.
Unraid and bare-metal worker pools, deadline-style job scheduling, and NAS-backed frame stores — the same class of system behind professional animation pipelines.
Batch image and video generation workflows, brand-consistent prompting systems, and review queues so marketing teams ship assets without bottlenecks.
FFmpeg pipelines, adaptive bitrate packaging, and CDN integration — from source masters to every endpoint your audience uses.
04 — High-Value Automation
Small and mid-size businesses routinely spend people-hours on work that a well-engineered AI system can own end-to-end. These are representative engagement areas — scoped, built, and operated to your environment.
Ticket triage, documentation generation, patch research, and vendor correspondence — an AI operations desk that knows your stack.
Replaces recurring MSP markup on tasks that should be automated.
Lead qualification, proposal drafting, CRM hygiene, and follow-up sequences grounded in your actual product knowledge base.
Hours reclaimed from inbox and spreadsheet labor every week.
Contract extraction, policy comparison, invoice reconciliation, and audit-ready filing — with full on-premise option for sensitive records.
Paralegal and back-office workload reduction without SaaS data exposure.
Shot breakdown, asset tagging, render prioritization, and client review portals — wired into the same infrastructure that powers your farm.
Studio-grade workflow without studio-grade headcount.
Home Assistant and commercial IoT integrations — occupancy logic, energy optimization, camera analytics, and alerting through unified dashboards.
One intelligence layer across locations, not a dozen apps.
API glue, webhook routers, and error-aware automations between tools your business already pays for — designed, not drag-and-dropped once and forgotten.
The integration tax, eliminated with engineering discipline.
Engagement pricing depends on scope, infrastructure, and ongoing operation requirements. Capabilities listed reflect areas of practice — not a guarantee of specific outcomes or timelines.
Engagement
Every engagement starts with architecture — understanding constraints, existing hardware, compliance boundaries, and what success actually measures. No slide decks. No outsourced delivery.
Describe your environment and the problem you need solved. Responses typically within two business days.
contact@fraynet.comDirect engineering contact. No mailing lists.