001 / Strategy
AI Strategy
Where could AI pay off, where would it flop, and what's worth doing first. You leave with a plan, not a sales pitch.
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AI · ML · App development · New River Valley & beyond
AI that solves real problems
I'm Dr. Caleb Bradberry. I help businesses, researchers, and creators figure out where AI actually helps, then build it. That means the models, and the apps that put them to work. When it won't help, I'll tell you that too. I'm based in the New River Valley and work with clients anywhere.
PhDInformation Systems
10+Years building ML
1-on-1You work with me
01 · What I do
Four ways I can help
Each one starts with the same question: is this actually the right tool for the job, or are we about to over-engineer something?
002 / Modeling
Machine Learning
Models that forecast, sort, or flag the things that matter, trained on your data instead of a generic template.
Learn more003 / Automation
Process Automation
Hand off the repetitive work, like data entry, document sorting, and routine replies, so your team can spend time on the rest.
Learn more004 / Apps
App Development
Not just the model, but the working app around it. Web and mobile software, built and shipped, with AI baked in where it earns its place.
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02 · Specialized
Work that needs a specialist
Some jobs need more than a general-purpose tool. These are the ones I'm asked about most.
Research Consultation
AI and synthetic-data methods for grant proposals and studies, plus the working models to back the claims up.
Learn moreClassroom AI
Tools that help you teach and grade at scale, built by someone who teaches and takes academic integrity seriously.
Learn moreCreator Analytics
For creators: models that show what your audience actually responds to, so growth stops being a guessing game.
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CB
Dr. Caleb Bradberry · Founder
PhDInfo Systems
03 · Who you work with
One person, not a sales team
United Statistics is me, Dr. Caleb Bradberry. I have a PhD in Information Systems and about a decade of teaching and building machine-learning systems, and I run this practice out of the New River Valley.
Most of my work has been in healthcare data, higher-ed accreditation, predictive modeling, and custom models. The common thread is making this stuff usable for people who don't have a data-science team on staff.
More about me
04 · Custom models
Models built for one job: yours
An off-the-shelf model is trained on everyone's problem. A fine-tuned one is trained on yours, which usually means better results from a lot less data.
Research-grade
Methods solid enough to hold up to peer review and grant panels.
Business decisions
Forecasts and predictions tied to choices you actually make week to week.
Creator tools
Turn engagement data into an actual plan instead of a hunch.
05 · How we work
Straight answers, including “you don't need this”
I look at your actual situation before recommending anything, and I'll say so when AI isn't the answer. There's a lot of snake oil in this field; I'd rather not add to it.
Honest assessment
If today's AI can't do what you need, you'll hear it from me first. Cutting through the hype is half the job.
Actual expertise
You're getting advice from someone who publishes and teaches in this field, not someone reselling a platform.
You work with me
No handoffs to a junior team. I'm there start to finish, and I stick around after the project ships.
Let's talk
Not sure if AI fits your problem?
That's the right place to start, and the first conversation is free. Tell me what you're trying to do and I'll tell you straight whether it's worth it.