AI consulting you can measure, plus the investor network behind it. “Deeper.”
We build AI that runs your business, and we prove it works. DPR is an AI consulting firm. We build AI inside your own systems, agree on one number that shows whether it worked, and hand it over so you own it. We also introduce the founders we work with to investors we know.
◆ We measure it. You own it.The problem
AI that never ships, and capital that never connects
Most enterprise AI is slideware and pilots that die before production: billed by the hour, locked to a vendor, impossible to measure.
On the other side, strong founders can’t reach warm capital, and investors drown in un-vetted deal spam. Both sides are starved for the same thing: someone they can trust.
What we do
Two things, done properly
We build AI inside your own systems, agree on one number that says whether it worked, and hand it over. You pay a monthly retainer, not a one-off project fee.
- Four kinds of work: automation, compliance & governance, low-code tools, and data integration.
- We also introduce the founders we work with to investors we know. Introductions only. We never take a cut of a raise.
How we deliver
A small team that ships like a big one
We build with modern AI tooling — the same kind of automation we set up for clients. It helps scope the job, do the work, check the result, and fix what's broken, so a few senior people can cover a lot of ground.
You still get a real person on the decisions that matter. And we don't hand you a demo. We hand you a working system your own team can run without us.
Who we work with
Companies where getting AI right matters most
Consulting: regulated, data-heavy businesses in legal, healthcare, fintech, and insurance, where a wrong AI answer is expensive and they'll pay to have it done properly.
Capital network: angels, small funds, family offices, and syndicate leads. Verified accredited investors only.
Business model
How we make money
Why it's hard to copy
The two sides feed each other
It runs on relationships, and those take years to earn. A consulting shop with no network has nothing to introduce. An intro service with no real work has no proof behind the names. Doing both well is the hard part.
Why now
Spending is up, trust is down
Companies are spending fast on AI but can't tell what's actually working. New rules are landing in exactly the regulated fields we focus on. And founders and investors both want a name they can trust instead of another cold list.
Team & posture
Small, senior, honest
You work with the people who build, not an account manager. We don't put fake clients, numbers, or logos on anything. On the capital side we're not a broker: no success fees, we disclose conflicts, and any startup we hold a stake in is a small, clearly-marked, unpaid part of what investors see.