AI built around how your business should run, not just how it runs today.
Our operators, led by people who run businesses like yours today, work on site with our engineers to learn the decisions, handoffs, and exceptions your process documents leave out. Then we determine together where AI belongs and where ordinary software, a dashboard, or a person does the job better. We build it into the systems you already use.
The engineering large companies get, priced for the middle market.
Our technical team is led by Carnegie Mellon Ph.D.s in machine learning and builds to enterprise standards: secure, tested, and running in your own environment, with every decision your people can read and check. We focus on your unique processes and workflows, using AI only in the steps that need it.
We stay, and the gains stay yours.
After launch, we don’t disappear. A Kaviani team member keeps meeting with your leadership to see what’s working and what to improve next.
Some decisions come up again and again: which crew to send, what to reorder, and how to price a job. Our systems continue to learn from results, much like a new hire learns from experience. They see which choices led to a job finished on time, a stockout avoided, or a quote won, and they get better each week as they work in your business.
