Tell us what the AI has to do and where it has to run. We build it, fit it to your cameras, edge computers or servers, and test it in real conditions, so it stays private, responds fast and keeps working offline. You get code and a model your team can run.
Two kinds of team, one way of working: small steps, measured results, and code your own people can run.
A research and engineering partner for agencies, labs and primes.
Senior AI engineering for your product, without a full-time hire.
Four services, one goal: AI that works on the device or servers you actually use. Every project is led directly by our founder.
You have images or video and need software that recognizes what's in them.
How we help →Your model works on a big computer and now has to run on a small one.
How we help →You want AI assistants or agents, but your data can't go to a public cloud.
How we help →You need a research partner, a second opinion or a feasibility answer.
How we help →Each one is measured and documented, with the evidence linked.
A team of AI agents that reads messages close to the user, spots grooming and exploitation aimed at minors, and steps in within a tenth of a second, without sending private conversations to the cloud.
See the result
A viewer picks what they care about and gets a fast-forward summary of a long video, made on a small device. The video and the viewer's preferences never go to a server.
See the result
Modern AI assistants (DeepSeek-R1, LLaMA 3.2) running on a small NVIDIA Jetson computer on your own desk, with a familiar chat window, so documents and questions stay in-house.
See the resultEvery step ends with a written result, so you decide what comes next.
What the AI has to do, on what hardware, in what conditions. If it's not a good fit, we'll say so early.
A first working version on your actual device, measured from week one, then improved.
Real data, light, load and network conditions. We report results as measured, not as hoped.
Code, the trained model, documentation and a test report your team can rerun.
Koraiio is an AI engineering company in Denver. We build computer vision, edge AI and private AI assistants that run on cameras, small edge computers such as NVIDIA Jetson, or your own servers, and we test them in the conditions where they will be used. We work with government teams, defense primes and startup founders.
Four reasons come up most. Data stays where it was captured, which matters for privacy and security. Answers come back faster because nothing makes a round trip to a data center. Running costs are lower because you are not paying to stream and process everything remotely. And the system keeps working when the network does not.
Yes. Koraiio LLC is a U.S. small business. We can lead research proposals such as SBIR and STTR, or join a larger team as a subcontractor with a defined piece of work. Registration details and a capability statement are available on request. Working with government.
In small, fixed-scope steps. Usually a feasibility check of the AI part of your idea comes first, then a working prototype you can show to users or investors, built so your future engineers can take it over. If AI is not the right answer for your product, we will say so. Working with founders.
Often, yes. A first step is usually to measure what your current camera, edge computer or server can run, and to tell you plainly if the job needs different hardware. Our work runs on devices from a Jetson Nano to a Jetson AGX Orin. Edge AI deployment.
Working code, the trained model, documentation, and a report of how it performed on your hardware and in your conditions, written so your own team can rerun the tests. Every phase ends with a written result, so you can decide whether to continue. How engagements work.
Government team or founder: tell us what the AI has to do, where it has to run and what it runs on. You'll get a reply from the founder.
Not sure yet? A two-line email is fine; we'll ask about the rest.
