AI Consulting
AI consulting that ends in running software.
Most AI consulting ends in a deck. NetRay's ends in a deployment: we advise at the strategy level, then build what we recommended with a machine of 105+ agents, and you own every line and every weight. Manufacturing, aerospace, and regulated industries are home turf.
Consulting with a build behind it
The credibility test for any AI consultant is one question: have they operated what they recommend? NetRay's advice comes from running production AI: our own products (ERPray, DataRay, SyteRay, PCBSpot, ClawRay) and client deployments in environments as unforgiving as air-gapped defense electronics floors. When we recommend an architecture, it is because we have been paged about one.
That changes the deliverable. Strategy engagements end in ranked, costed, buildable roadmaps; and because the same firm builds, the roadmap's estimates are bids, not guesses.
What we consult on
We work at every altitude of the stack, which is rarer than it should be:
- Strategy and readiness: data grading, use-case portfolios, deployment architecture (on-prem, cloud, hybrid), and the roadmap (see the readiness assessment)
- Model level: model selection, fine-tuning programs, self-hosting, and air-gap MLOps
- Application level: private RAG assistants, coding assistants, internal applications, and governed agent systems
- Integration level: wiring AI into ERP, CRM, MES, and field service (SyteLine, LN, M3, NetSuite, Salesforce, ServiceMax)
- Organizational: AI awareness workshops (free options), enablement programs, and champion networks that survive the pilot
The on-prem specialty
Our flagship distinction: AI for companies whose data cannot leave the building. Aerospace, defense, and regulated manufacturers get consulting grounded in what is actually deployable under ITAR, CMMC, and DFARS obligations, from consultants who have shipped inside those constraints. If your last AI consultant's answer to 'the data can't leave' was silence, that conversation is our opening move.
How engagements start
Three doors, by readiness: the free AI awareness workshop for leadership teams still forming the picture; the two-to-three-week readiness assessment when you want a defensible roadmap; or a direct build scope when you already know the first project. Every door leads to the same place: working software your team owns and can operate. We also work through partners: consultancies white-label our build capability under their brand, which tells you how the delivery holds up under someone else's name.
Straight answers
How is NetRay different from a big-firm AI practice?
We build what we recommend, we specialize in on-prem and regulated environments the big firms subcontract out, and our estimates are bids because the same team delivers. You trade the brand-name deck for a running system and full ownership of it.
What industries do you know deeply?
Manufacturing (two decades of ERP scar tissue across SyteLine, LN, M3), aerospace and defense including export-controlled environments, defense electronics, and data-center operations. The patterns transfer; the domain fluency is why the first workshop conversation is concrete instead of generic.
Do you only do on-prem?
No; we deploy cloud and hybrid architectures when the data grades and economics say so, and our assessment is deployment-neutral. On-prem is our famous specialty because almost nobody else does it well, not because it is our only answer.
What does engagement pricing look like?
Workshops have free options. The readiness assessment is fixed-scope and deliberately low-friction. Builds are scoped from the roadmap with the estimate standing as the bid. And partner-delivered engagements price through your consultancy if you came to us through one.
Start with a conversation that ends in a plan.
Workshop, assessment, or straight to a build scope: tell us where you are and we'll meet you there. A founder reads every message.
Talk to NetRayFree AI workshops available. A founder reads every message.