Your expertise. Built into a product you own.
We test your idea against the market to see whether it will actually pay, build a working version once the evidence is there, then engineer it into production.
- 01A product opportunity grounded in your expertise
- 02A working prototype your market can try
- 03An owned product, ready to launch
You may have the specialised knowledge, the relationships that took years to build, and the gaps you’ve spotted in your industry. You bring us the problem. We build the AI product to solve it.
What stops most people, even with a good idea, is the fear of putting their time and real money into something without knowing it will sell. So it simply stays an idea.
Identify. Prove. Launch. Scale.
- 01
Identify
Identify the product opportunity only you can see.
Turn your market knowledge into a ranked product opportunity, clear buyer, and focused first use case.
- 02
Prove
Prove demand and economics before production.
Test a working experience with reachable buyers and move forward only when the evidence supports the return.
- 03
Launch
Everything the product needs to run is built, tested and ready.
You can see exactly what the product does and who it serves, with everything around it in place to go live.
- 04
Scale
Keep building on what the launch proves.
We run the product in real clinical use, evaluate it against what actually happens, and keep extending its capability as the frontier moves.
- 01
STEP 01
Apply
A short application captures your expertise and the idea or problem you’ve identified. Every application is reviewed in full. Projects that are the right fit move forward to a strategy call.
- 02
STEP 02
Strategy call
A call to understand the expertise, the problem you’ve identified, and what you want to own. By the end, both sides know whether there’s something worth building.
- 03
STEP 03
Validation
Market research is conducted to test the idea against genuine demand, purchasing power, and how it holds up against existing competition. The data decides. Sometimes it confirms the idea, sometimes it points somewhere stronger, but the direction is grounded in evidence, not assumption.
- 04
STEP 04
Prototype
Typically, a working prototype is built for a small fixed fee, so the concept can be seen and tested in practice before committing to the full build.
- 05
STEP 05
Ship
The product is configured and hardened from our proven, production-ready components so it starts reliable rather than experimental.
- 06
STEP 06
Launch
Your product goes live in real clinical use, owned by you and measured against the outcome agreed up front.
- 07
STEP 07
Measure and scale
We measure live performance, refine what works, and scale the return so value compounds instead of stalling after launch.
Proven where failure isn’t an option.
The same systems run in production across 6 of 10 top U.S. hospital systems, where an error is a risk to a patient. That standard of reliability goes into every product we build, whatever the industry.
The products that are going to change how your industry works are being built right now, and every one of them will belong to someone. AI now does what used to take an entire workforce, so a business can run on a fraction of the headcount and still be highly profitable. What it takes is knowing where an industry wastes time and money, a way in to the people who’d pay to fix it, and a team that can build it properly.
If you have the insight, the only thing left is the AI product, and we prove it sells before you commit to the full build.
You bring
- The idea of what you want built
- The strategy behind it
- A problem you understand better than most
DotCross handles
- Demand validation and product strategy
- Engineering and production launch
- Operation and capability expansion
QUESTIONS FOR THIS ENGAGEMENT
Yes, fully. The product, the IP, and the brand are owned outright by you.
That’s what validation is for. Before anything is built, the idea is tested against real demand and buyers. If the data says it won’t work, you’ll know early, before significant investment. If it points somewhere stronger, that direction gets followed instead.
The investment is staged. The strategy call costs nothing. A prototype is a small fixed fee. The full build is scoped and priced only after validation, so the cost is known before it begins.
No. The engineering is handled entirely. What’s needed from you is the expertise, insight, or problem you understand better than most. The build is DotCross’s job.
That’s fine. Many start with expertise and a direction. The strategy call and validation exist to shape it into something real and buildable.
Production AI takes specialised engineering, the right data, and a standard proven under real clinical load. DotCross brings all three from the first day, which is what carries a system from prototype to production.
The product is supported beyond launch — we run it, evaluate it against live use, and keep extending it. It isn’t handed over and abandoned.
Yes. What you share is treated as confidential from the first conversation.
NEXT · PRICING