Private AI for engineering firms

Your firm's knowledge,
always at hand

We build AI assistants trained on your internal docs — specs, proposals, SOPs, past projects — that run entirely on your own servers. Your IP never leaves your building.

Book a free 30-min call See how it works →
3–5 hrs
saved per engineer, per week
100%
on your infrastructure
0
data sent to external APIs
Runs on your servers
No OpenAI. No Microsoft. No third-party APIs
Engineering & technical firm specialists
Flat-fee setup. Optional retainer
The problem

Your team's knowledge is buried where no one can find it

Engineering firms run on accumulated knowledge. The problem is that knowledge lives in hundreds of files, folders, and people's heads — and finding it costs real time every day.

Hours lost to doc hunting
Engineers spend 3–5 hours a week searching for specs, standards, and past project info they know exists somewhere.
IP leaking through ChatGPT
Staff already use public AI tools to get work done faster — which means confidential specs and client data are leaving your network daily.
Knowledge walks out the door
When senior engineers leave, years of context goes with them. New hires spend months asking questions that are already answered somewhere in your files.
Services

What Vela delivers

Three ways to work with us — from a quick assessment to a fully managed private AI system.

01
Discovery assessment
We spend 2–3 hours with your team, map your data sources, and deliver a written recommendation — where AI would help most, what it would take, and honest ROI estimates.
  • Data source inventory
  • Use case prioritization
  • Infrastructure review
  • Written report + recommendations
$500–$2,000 · one-time
02
Private AI deployment
We build and deploy a custom AI assistant on your infrastructure — trained on your docs, integrated with your tools, and handed off with full documentation and staff training.
  • On-prem model setup
  • RAG pipeline on your documents
  • Web UI or Slack integration
  • Staff training + documentation
$3,000–$15,000 · one-time
03
Managed retainer
We maintain and improve your system over time — adding new document sources, tuning responses, expanding integrations, and keeping everything running reliably.
  • Monthly model updates
  • New data source ingestion
  • Performance monitoring
  • Priority support
$500–$2,500/mo · ongoing
How it works

From first call to working system in weeks — not months

We handle the full technical setup. You stay focused on your work.

01
Free scoping call
30 minutes. We learn about your team, your docs, and your biggest time drains. No pitch deck.
→
02
Assessment
We audit your data sources and infrastructure, then deliver a written recommendation with honest ROI estimates.
→
03
Build & deploy
We set up the AI on your servers, train it on your documents, and integrate it with your existing tools.
→
04
Train & hand off
Your team learns the system, we document everything, and you're up and running — with support available ongoing.
→
With Vela
Your documents
→
Your AI (on-prem)
Your team's questions
→
Instant answers
Without Vela
Your confidential data
→
OpenAI servers
Your IP leaves your building. Every. Single. Query.
Why private AI

The case for keeping your data on your servers

Your clients expect confidentiality
Engineering contracts often include data protection clauses. Sending project details through a public AI service may already violate your agreements.
Your methods are your competitive advantage
Proprietary processes and technical approaches are what differentiate your firm. A private AI keeps them private — no training data shared with competitors.
No ongoing API fees
Public AI services charge per query. A private deployment is a one-time infrastructure cost — no monthly bills that scale with usage.
Get in touch

Start with a free 30-minute call

Tell us a bit about your firm and we'll come prepared with relevant questions. No sales pitch — just an honest conversation about whether this is a fit.

We respond within one business day. No spam, ever.