About Waveo

We shipped production AI for real operations before it was a headline

Waveo is an AI product studio in Irvine, California. We build AI agents, automation, computer vision, and digital twins for companies that need serious systems in production - not another chatbot bolted onto a landing page. Long before the current AI wave, our team was already delivering computer vision, machine learning, and digital-twin systems for demanding enterprise operations.

Waveo exists for one kind of client: operations-heavy businesses - in logistics, infrastructure, healthcare, and industry - that need an AI and engineering team without hiring one. We take an idea from discovery to a system running in production, in weeks, not years.

Track record

Outcomes from real programs, not slideware

Selected results from AI, computer-vision, and digital-twin systems our team has delivered for enterprise operations.

72%
faster infrastructure inspections with AI & computer vision
100%
of uncertain extractions routed to human review, not silently guessed
93%
real-time anomaly detection in AI-assisted diagnostics
44%
faster emergency response with a digital-twin safety system
What we do

One team across the whole AI stack

Most AI shops stop at a prototype or wire together no-code tools that break the moment real data and real users show up. We build the entire path: discovery and product design, the AI itself - agents, automation, computer vision, LLM integration - and the digital twins and software it runs inside. Then we ship it with the evals, guardrails, and monitoring production actually requires.

That end-to-end range is why a single Waveo team can replace stitching five vendors together - and why our work holds up where downtime, bad data, or a wrong answer costs money. Explore it on our work.

How we're built

Operators and engineers, not hype merchants

Co-Founder & CEO

Alevtyna Mozolyuk

PMP · Bentley Accredited Developer: iTwin Platform · MSc Computer Science
  • Computer engineer turned operator - 20+ years across machinery, spare parts, and operations, now building AI and software for them.
  • Co-founder and COO of a vertically integrated machinery & parts company - 15 offices, in-house manufacturing, a 7,000+ SKU catalog, #1 in the national business rating.
  • BS & MS in Computer Science, both with honors. PMP-certified and a Bentley Accredited Developer on the iTwin platform - and teaches PMP.
Connect on LinkedIn

Waveo is run by operators and engineers, not hype merchants. Co-founder and CEO Alevtyna Mozolyuk is a computer engineer who spent 15 years in machinery and spare parts - most of it as a co-founder and COO - building the software that ran the business. She's lived on both sides of the divide our clients live on: the warehouse floor and the codebase.

That operator's lens shapes how we work. We start from the business - where the money and the risk actually are - and only then choose the AI. It's the difference between a demo that impresses and a system your team trusts on a Monday morning.

We also build for ourselves. reParta is our own product - an operating system for used-auto-parts sellers, built on the same stack and the same discipline we bring to client work. Running a product in production keeps us honest about what it actually takes to ship one.

Credentials

The signals behind the work

Recognition and training that back how we build.

AWS

AWS Solutions Architecture

Cloud-native AI and data systems designed to run reliably and scale - architected on AWS.

Nielsen Norman Group UX

NN/g UX practice

Nielsen Norman Group-trained UX leadership - because AI only creates value when people actually use it.

Bentley iTwin Innovation Showcase

Bentley publishes our point-cloud AI work on its own iTwin Innovation Showcase - the platform vendor vouching for the work, not our own marketing.

How we work

Principles we don't bend on

Production, not demos

Every system ships with evals, guardrails, and monitoring.
Real engineering - not no-code tools that break under real load.
We own the whole path, from data to the running system.

Business first, AI second

We start where the money and the risk are, then pick the AI.
Discovery de-risks the idea before a line of production code.
Transparent scope and timelines - weeks, not open-ended years.
Work with us

Need an AI team without hiring one?

Tell us what you're trying to automate or build, and what data and systems you already have. We'll come back with how we'd approach it.

Book a discovery call