Engineering-grade
AI automation.
We build AI systems that meet the standards of the engineers who use them. Backed by a decade of RF and electromagnetics work, the automations we ship behave in production, not just in demos.
What you've heard about AI is wrong.
If your team has dismissed AI for any of these reasons, the reasoning was right two years ago. It is wrong today.
"AI can't replace the work of an entry-level engineer."
Modern AI agents handle requirements parsing, documentation drafting, simulation orchestration, and report generation. The work that used to fill a junior engineer's day is exactly what these systems do best.
"We handle CUI or ITAR data. AI is off the table."
We deploy AI workflows that meet CUI handling requirements and stay inside ITAR-compliant environments. Solutions run on-prem or in sovereign-cloud regions. No data crosses your security boundary.
"AI means uploading our proprietary data to a third-party API."
Capable open-weight models run on your hardware. Your data, your weights, your inference. Your IP never leaves your network.
Where we work
Three sharply-defined offerings. Each is a complete practice, not a vague 'we can help with that'.
AI automation built to engineering standards
Spec-traceable workflows for hardware and RF teams. Documentation, simulation orchestration, and requirements management, automated without compromising rigor.
- CAD / sim tool integration
- Spec & requirements workflows
- Documentation generation
Outbound automations that book meetings
Lead sourcing, CRM enrichment, personalized outreach, and pipeline hygiene, engineered end-to-end. Replace scattered no-code stacks with systems that actually stay on.
- Lead sourcing & enrichment
- Personalized outreach at scale
- CRM hygiene & reporting
RF / EM consulting for hardware teams
Antenna design, link-budget analysis, EMC/EMI investigations, and simulation review. Senior-level RF guidance on a project or retainer basis.
- Antenna & RF front-end design
- Link budget & propagation analysis
- EMC / EMI troubleshooting
Most AI work isn't engineered. Ours is.
Most AI automation is prototyped, demoed, and shipped. That's fine until it touches something that matters. Vectron was founded on the belief that AI systems should be treated like any other piece of production infrastructure: specified, tested, instrumented, and maintained.
- 01 Written spec before any code
Every engagement opens with a short requirements document. If we can't describe the system, we won't build it.
- 02 Build, instrument, validate
Systems ship with logging and tests. We show you the evidence they're working, not a screen recording.
- 03 Handoff or retain
We document cleanly for in-house ownership, or stay on retainer for maintenance and iteration.
- / Ship a demo you can't maintain. Every deliverable has a runbook.
- / Replace your judgment with an LLM. We automate the work around decisions, not the decisions themselves.
- / Take an engagement we can't deliver with the rigor the problem deserves.
One conversation, one decision.
A 30-minute call is usually enough to know whether we're the right fit. No decks, no sales pitch, just a technical conversation about what you're trying to build.