Start small with an MVP or AI proof of concept
AI Pilot Sprint brings together a team of product managers, designers, and engineers to ship an MVP or a first AI use case in weeks, with AI-native workflows powered by Pixel AI™.
When does an AI Pilot Sprint make sense?
An AI Pilot Sprint makes sense when you want to build trust with us on an MVP, a new feature, or an AI proof of concept.
Test an AI use case on real work before you invest in it
One use case, like an assistant, an automation, or an agent in your product, built and measured against a goal we agree on.
What you getA working proof of concept, measured against your goal, and the evidence to decide whether to scale it.
You want to see how we work first
Choosing a product partner is a long-term decision, so judge us on how we work together for a few weeks.
What you getA clear view of how we think, decide, and deliver, before you commit to a longer partnership.
A feature your product needs next
A new flow, an integration, or the feature customers keep asking for, built to fit the product you already have.
What you getThe feature live in your product, built to fit what you have and ready for your users.
Build an MVP and test it in the market
Put a first version in front of real users and learn what works before you commit to a bigger launch.
What you getA working MVP in front of real users, and market feedback to decide what comes next.
How to get started with an AI Pilot Sprint
Getting started with an AI Pilot Sprint takes 4 steps, from a first conversation to a reviewed result and an agreed next step.
- CEOYour team
- CTOYour team
Bruno TeixeiraCEO
Tiago CoelhoCTO
Tiago RomanoBusiness Developer
- One result for the sprint, agreed today
- Goal: the MVP live with 50 pilot clinics
- Constraint: your login and data, no billing changes
- Success = 30% weekly active by week 8
- Step 1
We get to know your goal, users, and constraints, and agree what success looks like.
- Step 2
We agree what’s in, what’s out, and what done looks like, and help shape the idea if needed.
- Step 3
One team across product, design, and engineering, with progress every week.
- Step 4
We review results against the goal and decide: launch, keep building, or stop.
One clear outcome, two ways to get there
Go flexible when your project needs room to evolve, or start with a Discovery Phase when you need to define the scope first.
| Discovery Phase | Flexible Subscription, Recommended if you’re ready to build | |
|---|---|---|
| Starting at | €5k | €7.5k/month |
| Best for | Ideas that need a clear scope first | Projects that need room to evolve as you learn |
| Scope | Defined together, starting from your goals | Priorities adjusted as you go, within the cap |
| Team | Senior product, design, and engineering experts, matched to the scope | AI-native product, design, and engineering specialists, as the project needs |
| Investment | Fixed price for this phase, flexible from there | Usage-based within a monthly cap |
| Commitment | Ends with a plan you can act on | None |
| Discuss Discovery Phase | Discuss Flexible Subscription |
AI-native delivery with Pixel AI™, whichever model you choose.
Not sure which model fits?
Tell us what you’re building. We’ll help you find the right approach.
Prices exclude VAT where applicable. Starting prices are indicative. Final investment and terms depend on the agreed scope.
What tech leaders say about us
Questions about AI Pilot Sprint
An AI Pilot Sprint is one small project with a clear scope, like an MVP, a new feature, or an AI proof of concept, built by Pixelmatters from idea to launch. It’s also a way to start working with us on real work before a bigger engagement. You don’t need everything specified to start, because shaping the scope with you is part of the work. We work AI-native with Pixel AI™, and you can run an AI Pilot Sprint on a Flexible Subscription or start with a Discovery Phase.
An AI Pilot Sprint starts at €7.5k a month on a Flexible Subscription, billed by usage within an agreed monthly cap, or at €5k for a Discovery Phase, at a fixed price for the phase, with flexibility from there. Your final price depends on scope, complexity, and dependencies, and you’ll know it before any work starts. New scope gets its own quote, and an AI Pilot Sprint usually starts within 2 weeks of agreement.
Yes, Pixelmatters can build your MVP in an AI Pilot Sprint. We agree on the smallest version worth testing, then design and build it ready to launch, so the feedback you collect comes from real use. If your MVP still needs its scope defined, start with a Discovery Phase.
Yes, Pixelmatters can build an AI proof of concept in an AI Pilot Sprint. We choose one AI use case with you, build a working version on real work, and check it against a success measure we agree at the start, so you know whether it’s worth investing in before you scale it. Because we build it AI-native with Pixel AI™, you also see AI-native ways of working up close.
An AI Pilot Sprint includes QA from the start, and we follow your security requirements throughout. We can work in your repositories and environments or in ours, depending on your access needs, and we’re working toward SOC 2. If you need a specific certification or compliance standard, tell us when you get in touch and we’ll confirm fit before anything starts.
An AI Pilot Sprint commits you only to the agreed project, and the work stands on its own once delivered. You own the agreed deliverables, including code and design files, as set out in your contract. If there’s more worth building, we’ll plan the next steps together, like moving to AI Product Modernization, or to a Forward Deployed Team to take a proof of concept into production. The decision is always yours.
An AI Pilot Sprint is the right way to start when you have one small project with a clear scope, like an MVP or an AI proof of concept, or want to see how we work before a bigger engagement.
If your product needs ongoing work, AI Product Modernization fits better.
If you want an AI innovation lab built and run next to your product teams, with the option to bring it in-house later, see R&D Labs.
To change how your own teams build with AI, see AI-Native Enablement or Forward Deployed Team.
If you’re not sure, tell us about your challenge and we’ll suggest the right fit.