/ai
course/build-your-product
Build Your AI Product
The capstone: your platform built together with you, from idea to live launch, weekly on Zoom.
Tools: a paid subscription to a leading AI assistant is recommended (plans from about $100 a month).
[ in short ]
EBOXLAB AI is a Colorado AI development company that builds custom AI tools: private assistants that answer from your own documents and cite the source, voice agents that answer and log calls, and agents that act inside your systems. They run in the cloud, on your own servers, or on a network with no internet. You own the code, models, prompts, data and documentation.
01What we build
Assistants on your documents
Ask a question in plain words and get an answer drawn from your own files, with a reference to where it came from. It works with the documents you already have: PDFs, spreadsheets, manuals, policies, past work. No big data project is needed first.
Voice agents
An AI agent that answers the phone, handles routine questions, keeps a log of every call and updates your CRM. Calls it should not handle go to a person.
Agents inside your systems
Software that takes a goal and uses tools to reach it: looks up records, fills in forms, prepares documents, calls other systems. Its permissions are limited, and sensitive actions wait for a person. More in AI agent development.
Software and SaaS built with AI
When the answer is a product rather than a tool, we build it: an internal app or a SaaS platform with AI inside, from the first version to production.
[ service · custom ai tools ]
Custom AI tools
Private AI built around your documents, your calls and your systems.
- Document assistants with cited answers
- Voice agents that answer and log calls
- Agents that act inside your systems
- Cloud, on-premise or fully offline
02Cloud, on-premise or fully offline
- Cloud: the fastest start; it runs in your own cloud account, under your data rules.
- On-premise: models and data on your own servers, for confidential files.
- Fully offline: a network with no internet connection at all, for the most sensitive work.
The choice follows the data, not our preference. Client, patient and case files never need to go to a public AI service.
03Built to be checked
An AI tool is only useful if people can trust what it says, and trust comes from being able to check. So we build in answers that cite their sources, a way for staff to flag errors, a person in the loop for sensitive actions, and logs that show what the system did. It comes from our background: 25 years of digital forensics and data recovery behind the founder, work in which every answer has to show where it came from.
04How a custom AI project runs
- Assessment, in days: the job, the data, the risks, the systems.
- Pilot, typically a few weeks: one focused version working on your real data.
- Build, scoped after the pilot, with a fixed scope for each stage.
- Training: the people who built it train your team on it.
- Support and monitoring after launch, if you want it.
05What you own
You own the code, models, prompts, data and documentation. Everything runs in your accounts, so there is no lock-in: another team could pick it up and carry on.
06Why a Colorado AI company
EBOXLAB has been a Colorado IT, security and digital-forensics company since 2004, based in the Denver metro area. We work with companies across the state, remote or on site, and we know Colorado's AI law: if your tool will influence consequential decisions, we design for SB 26-189 from the start. See the Colorado AI Act guide.
Would you rather build your own AI product, with us at your side? The capstone course does that, one-to-one.
[ next step ]
Describe the job for the AI.
What it should do, how sensitive the data is, which systems it must work with. We reply by email.
07Questions about custom AI development
q01How much does custom AI development cost?
It depends on the job, so there is no price list for studio work. After the assessment, each stage gets a fixed scope and a quote, and larger builds are priced after the pilot.
q02Do we need a lot of data to start?
No. Document search works with the files you already have.
q03Can AI run without sending our data to the cloud?
Yes. We deploy models on your own servers, including networks with no internet connection.
q04How long does an AI project take?
A focused pilot typically runs a few weeks. Larger builds are scoped after it.
q05What about wrong answers?
We design for them: answers cite their sources, staff can flag errors, and sensitive actions keep a person in the loop.