(01)
Clickable in weeks, not months
You get something real to put in front of people early, because with an MVP the argument is whether the idea works, not whether the button is the right blue.

Trusted by SF’s top AI & SaaS companies
And many more
AI products have a specific problem. The model is genuinely new and the interface around it is the same chat box as everyone else’s.
Book a callYou vibe coded it and it looks like everyone else’s.
The tooling got you working in a fortnight and gave every company the same three screens.
The model is remarkable. The interface is a chat box.
The hard part of your company is invisible, so the surface reads as a wrapper.
Nobody designed what happens when the model is wrong.
Confidence, correction, escalation and undo are design problems, and almost no MVP has answered them.
Your first assumptions are quietly becoming permanent.
Early decisions set the tone for everything and get expensive to reverse from the day you ship.
You need something real in weeks, not quarters.
There is a demo day or a partner call, and a roadmap that does not care about either.
Every demo needs you in the room to explain it.
If the product cannot carry itself, it does not scale past the founder.
“The most impressive part was the attention to detail in their work.”

Valerio Di Palo
Founder @ AI SuitUp
We settle what the product claims before we design a screen. For AI products that means being specific about what the model does, what it doesn’t, and where the human stays in the loop. Vague AI positioning is the most common reason a good demo fails to land.
Typical outputs:
We map the flows, including the ones nobody wants to think about. What happens when the model is confident and wrong, when it needs more context, when the user disagrees, and when it has to hand off to a person. Those flows separate a product from a demo.
Typical outputs:
We prototype fast and test the assumptions while they’re still cheap to change. You get a clickable version early, because with an MVP the argument is about whether the idea works, not whether the button is the right blue.
Typical outputs:
We design the interface, and this is where an AI MVP either reads as a company or a weekend project. Every state, including the ones the tooling never generates: empty, loading, streaming, partial, wrong, and the one with far too much output.
Typical outputs:
We build the frontend so you have something real rather than a Figma file with a story attached. React and Next.js, wired to your model and your API, shipped in two week cycles.
Typical outputs:


(01)
You get something real to put in front of people early, because with an MVP the argument is whether the idea works, not whether the button is the right blue.
(02)
Every AI MVP handles the happy path. We design confidence, correction, escalation and undo, which is where trust is actually won.
(03)
We write down what the product is betting on, then test the riskiest one first rather than the easiest one.
(04)
Our engineers ship the frontend wired to your model and your API, so you have a product rather than a Figma file with a story attached.
Anyone can ship a working AI product in a fortnight. That is exactly the problem. When building gets cheap, the only thing separating you from the next twelve companies is design. We set the assumptions deliberately.
01
What you decide in v1 sets the tone for everything after it, and each of those decisions gets more expensive to reverse from the day you ship.
02
Confidence, correction and escalation are what separate a product people trust from a demo that impressed them once.
03
AI does the thinking and the first drafts now. What it cannot do is the last ten percent, and that is the whole difference.
04
A prototype that survives a stranger using it is a different object from one that demos well with you narrating.
Ranked three years running

30+ verified reviews on Clutch.
Trusted by top SaaS
“We handed Bricx a vague brief and got back a brand that felt inevitable. That’s rare.”

Chirag Kulkarni
CEO @Hobbes
99.7%
Client Satisfaction
30+
Industries
50+ Projects
| Options | Prototype sprint | MVP design | Design and build |
|---|---|---|---|
| Best for | Proving one idea | A fundable first version | Something you can ship |
| Typical length | 2 to 3 weeks | 4 to 6 weeks | 6 to 10 weeks |
| Who you get | One senior designer | Designer plus lead | Designer, lead, engineer |
| Commitment | Fixed scope | Milestone based | Milestone based |
| What is included | Flows, prototype, screens | Everything, plus full UI | Everything, plus frontend |

Zero risk. Real design work delivered before you commit to anything.
Either. We design and build the frontend, and we wire it to your model and your API. Your backend and your model stay with your team, which is where they should be.
A clickable prototype in two to three weeks. A designed and built MVP in six to ten. If the visual direction is set, individual flows move in days.
Engagements start at $25,000 for fixed scope. Continuous product work runs on a monthly retainer starting at $10,000.
Yes, and it is a useful starting point rather than an embarrassment. It tells us what you actually meant. We usually keep the logic and rebuild the surface.
MVP design proves one idea to one audience fast, and accepts that most of it gets thrown away. Full product design assumes users already exist and the job is making it better.
Our client book is AI and B2B SaaS. Agents, models and the interfaces around them are the work we do most weeks, not a category we are experimenting with.
You do, from the first commit. It lives in your repository and you can take it to any team.
Every file, and you own all of it. Design source, component library, documentation and, where we built it, the code in your repository from the first commit.
Yes. We will connect you with a founder we have done this for, so you hear how it went from their side rather than ours.
We work almost entirely with B2B SaaS and AI companies, across fintech, healthcare, logistics, legal, edtech and infrastructure. If we have not worked in your category, we say so and tell you what that changes.