The Owned-AI studio

Most AI is slop. We build the kind you own.

A fixed-price two-week pilot, judged on one honest number you agree up front. If it doesn't move, you don't pay — and you keep the code, the weights, and the evals. No dead demos, no rented endpoints, no theater.

What we do AI built for you· Measured honestly· You own the code· No lock-in· Senior people only

The state of the industry

The industry is drowning in AI slop.

Dead demos. Chatbots bolted on the side. Endpoints you rent forever. "Accuracy" with no baseline. Most "AI transformation" is theater billed as progress. Here are six kinds — and the tell that gives each one away.

The Bolt-On Bot

A GPT wrapper stapled to the corner of your page. Tell: it can't touch your real data or workflow.

The Dead Demo

Flawless on the sales call, never seen in production. Tell: no live metric, no user count, no incident history.

The Rented Brain

You pay per call forever and own nothing. Tell: no weights, no code, no exit path in the contract.

The Vanity Accuracy

"98% accurate" with no baseline. Tell: no sample size, no comparison group, no confidence interval.

AI-First Theater

A rebrand with the word "AI" and zero shipped behavior change. Tell: the roadmap is slides, not commits.

The Eval-Free Ship

A model in production with no test suite. Tell: nobody can say if last week's change made it better or worse.

See all seven, plus the Slop Sniff-Test you can run on any vendor

30-second self-check

Is your workflow actually pilot-ready?

Most "AI didn't work" stories are really "nobody agreed what working meant" stories. Answer four questions about your own workflow — you'll know in thirty seconds whether you have an AI problem or a scoping problem.

Answer honestly — there are no wrong answers, only useful ones.

Is there a number?Does this workflow produce something you can count — minutes, volume, error rate, cost?
Is it measured today?Could you tell me its current value this week, from real data?
Would moving it 20% matter?Would a fifth less time, or a fifth fewer errors, change a real decision or free real hours?
Can a human check the answer?Can someone on your team look at one output and tell whether the AI got it right?
$0

The guarantee

If the pilot doesn't move the number we agreed, you don't pay the fee — and you keep the code.

We're a small studio early in our story. The guarantee is how we make hiring us safe: the risk sits with us, not you. One workflow, one number agreed in writing before we start, a working system at the end that you own.

The Owned-AI Method

A system, not a slide deck.

Six steps that turn "AI" from theater into a moved number. Every engagement runs the same order — and ends at Proof you can re-check.

01

Number

Agree the one honest metric up front — the number the whole job is judged on.

02

Baseline

Measure today's real performance on your real data, so improvement is provable.

03

Build-Inside

Embed the model into your actual workflow and data — no bolt-on bot.

04

Evals

A test harness grades every change against ground truth before users see it.

05

Handover

Full ownership transfers: code, weights, evals, deploy. Zero lock-in.

06

Proof

Report with baseline, sample size, and honest caveats. The number stands on its own.

See how each step runs, day by day

How a pilot works

Four honest steps. No slide deck at the end.

We find the task eating the most time, build a working AI system in two weeks, measure it honestly, and hand it over. You own everything we ship.

01

Find the biggest time-sink

We sit with your team and pick the one repetitive workflow that costs the most hours. One target, not a platform.

Duration~2 daysOutputScoped target
02

Run a two-week paid pilot

We build a real, working agentic AI system against the number we agreed — not a prototype, not a mock — inside your own systems.

Duration2–4 wksPrice$8k–$15k
03

Measure it honestly

We report the number against a real baseline, with sample size and caveats in plain sight. If it didn't move, we say so.

OutputScorecardMethodPublished
04

Hand it off — you own it

Code, weights, and docs go to your team. No license to renew, no seat to rent, no dependency on us.

OutputYour repoLock-inNone

The offer

A two-week pilot, priced up front.

One workflow. One number we agree on before we start. A working system at the end that you own — not a slide deck.

Why a guarantee? We're a small studio early in our story. The guarantee is how we make that safe for you — the risk sits with us, not you.

Pilot scorecard

  • ScopeOne workflow, biggest time saving
  • Price band$8,000–$15,000
  • Timeline~2–4 weeks
  • The numberAgreed in writing, up front
The guarantee. If the pilot doesn't move the number we agreed, you don't pay the fee — and you keep the code.
Book a pilot

Honest proof

One anonymized pilot. Numbers you can check.

We only publish what we can stand behind. Below is a sanitized pilot, labelled as an illustration — not a promise about your workflow.

Before

11 min

per manual handoff

After

90 sec

automated handoff

Sample

n=400

handoffs measured

Anonymized logistics pilot · illustration · timed vs. a two-week baseline, same operators

What could go wrong

  • Your workflow may not have a clean number to move. We'll tell you before you pay.
  • Some tasks need judgment a model can't yet be trusted with. We say no to those.
  • A two-week pilot proves direction, not a five-year SLA. Scale is a separate conversation.

Case study · anonymized

One honest number cut handling time 74% in two weeks.

A 40-person logistics ops team was drowning in freight exceptions — ~1,200 a week, ~38 minutes each. We agreed one number before writing code, then built a classifier and retrieval agent inside their ticketing system. They own all of it.

10 min
Median handling time, down from 38 min
-74% · illustrative
61%
Exceptions resolved with no human touch
from 0% · illustrative
n=2431
Live exceptions measured over two weeks
held-out set of 500 · anonymized
100%
Code, weights, and evals handed over
real term of every pilot

Why we show the caveat: this reflects one team's ticket mix over two weeks; peak-season volume needs eval-guided retraining — which is exactly why they own the eval suite. Slop hides its limits. We label them.

Read the full teardown, with baseline and sample size

What we offer

We build it. We help you fund it.

Two things we're built for — a working AI system inside your business, and a warm path to the capital that scales it. Senior-built, measured, priced up front, and yours to keep.

AI consulting & builds

We build the AI that does your real work

A production system doing a real job inside your own tools — planned, built, and hardened by a senior team, measured by one honest number, and handed over so your team owns it. Not a demo, not a chatbot bolted on the side. It starts with a fixed-price two-week pilot, from $8k.

See how a pilot works

Investment matching

We open doors to the right investors

For the founders we build with, we make warm, relevant introductions to investors who fit your stage and sector — from a real network, not a spray-and-pray list. We won't promise a raise; we will make the introduction we'd stand behind on both sides.

Talk about funding

Product shipping

Idea to a shipped product

Need more than a pilot? The same senior team takes you from idea to a launched product on your stack — owned by you, with the same one-number discipline wherever a number makes sense.

Senior, on purpose

You work with the builders

No account managers, no offshore hand-off, no black box. A small senior studio that prices the work up front, says no to work it can't win, and leaves you owning everything it builds.

What we stand on

Measured, owned, and senior — or it isn't AI, it's theater you rent forever.

  • AI slop is the default. We are the antidote.
  • If it can't move one honest number, it's a demo with a pulse.
  • A chatbot bolted to the side of your business is a costume, not a strategy.
  • Renting an endpoint forever is a subscription to someone else's leverage.
  • Accuracy without a baseline is a marketing number, not a result.
  • We name the metric before we write the code — then we let it judge us.
  • If the pilot doesn't move the number, you don't pay.
  • Build it inside your business, or don't call it yours.

Your fears, answered

The four questions everyone asks first.

Yes — that's the whole point. A pilot ends with a working system running against a real number, not a demo. If it can't reach production, we say so before you pay.

No. You get the code, the weights, and the docs. No license to renew, no seat to rent. You can walk away with everything the day the pilot ends.

We work inside your boundaries — your cloud, your keys where possible. We don't train shared models on your data, and we agree the handling rules in writing up front.

Our aim is to hand off and leave. We document the system so your team can run and extend it. We're happy to help later — but by choice, never by lock-in.

About

A small, senior team.

DPR Labs is a senior AI studio. We've run a handful of pilots so far and we'd rather show real work than borrowed logos. We publish how we measure, and you own what we build.

Start a conversation

Let's find the deep work a machine should do.

Agentic AI that ships, measured by one honest number. One business day to a real answer — no sales script, no obligation.

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Prefer email? hello@dprlabs.io