Ask ten founders who the best development agency is and you'll get ten answers, all of them confident and most of them wrong — not because the agencies are bad, but because the question is. "Best" isn't a property an agency has. It's a relationship between what a team is unusually good at and what you actually need built.
Development isn't one job. It's a pipeline: working out what to build, designing it so people want to use it, engineering it so it doesn't rot, shipping it fast enough to matter, then scaling, securing and running it. Very few teams are excellent at all of that, and the ones that claim to be are usually describing their sales deck rather than their delivery. What exists instead is a set of studios that are genuinely world-class at one part — and knowing which part you're buying is most of the decision.
So this isn't a ranking. It's ten agencies from around the world, each paired with the stage of the pipeline they're best at, ordered roughly by where they sit in that pipeline rather than by merit. No paid placements, no affiliate links — this is an editorial pick based on public reputation and published work, and yes, we're on it, at number seven, because we'd be being coy otherwise.
1. Bakken & Bæck — best when you don't yet know what you're building
Where: Oslo, Amsterdam, Bonn, Barcelona.
Some projects arrive as a specification. The interesting ones arrive as a hunch — "there's something here with AI and our data, we're not sure what." That's a different job from building, and most engineering shops handle it badly, because their instinct is to convert your hunch into a backlog before anyone has checked whether the hunch is right.
Bakken & Bæck built their reputation on the opposite instinct: design-led exploration, rapid prototypes, and a willingness to build three rough things to find out which one matters. They've been publishing experimental AI work since well before it was commercially obvious, and the studio's culture is closer to a research group with excellent taste than to a delivery factory.
The pro: you find out whether your idea is real in weeks, for a fraction of what finding out during a build would cost.
Go to them if: you have budget, ambition, and a question rather than a spec.
2. Work & Co — best for consumer-grade product design
Where: Brooklyn, with studios across the US, Europe and South America.
There's a category of digital product that feels obviously, almost annoyingly right the moment you open it — where the flow is short, the words are plain, and you never once wonder what to tap. That feeling is expensive and it's not an accident. Work & Co have spent a decade building exactly that kind of thing for companies whose customers number in the millions, and their public work is a good argument for what happens when design leads and engineering follows closely enough to keep the promises.
What sets a studio like this apart isn't visual polish — plenty of agencies can make a screen look good. It's the discipline of cutting: deciding what doesn't go in, so the thing that remains is unmistakable.
The pro: design that survives contact with real users at scale, not just with a pitch deck.
Go to them if: your product's success depends on how it feels to a first-time user who owes you no patience.
3. ustwo — best for mobile craft
Where: London, with studios in Malmö and beyond.
Mobile is not "the web, but smaller." It's gestures, thumbs, offline states, notification etiquette, App Store review, and a hundred details that quietly decide whether an app feels native or feels like a website in a costume. ustwo have been a fixture of that world for years — a studio that both ships serious client work and makes its own products, most famously the game Monument Valley, which is as good a proof of interaction craft as the industry has.
That dual identity matters. Studios that only build for clients optimise for approval. Studios that also ship their own products know what it costs to own something after launch, and it shows in the decisions they make on your behalf.
The pro: genuine feel for interaction detail on touch devices — the thing users notice without ever being able to name.
Go to them if: the product is the phone app, not a companion to something else.
4. thoughtbot — best for a codebase that outlives the engagement
Where: Boston, with distributed teams across the US, Europe and South America.
Here's the failure mode nobody warns founders about: the agency delivers on time, the app works, everyone's happy — and eighteen months later your new developer opens the repository and quietly estimates a rewrite. The build was fine. The inheritance was terrible.
thoughtbot are the counter-example, and unusually, you don't have to take that on faith. They publish their playbook — how they run projects, test, review code and make decisions — and they maintain widely-used open-source tools that thousands of teams depend on. A team that works in public tends to work the same way in private, because they've made it hard not to.
The pro: conventions, tests and documentation good enough that the next team says "oh, this is clean" instead of "who wrote this."
Go to them if: you expect to hand this codebase to in-house engineers within two years.
5. STRV — best for post-seed velocity
Where: Prague and Los Angeles.
There's a specific, brutal window after a seed round: twelve to eighteen months to turn money into evidence, with investors watching and a market that won't wait. It demands a team that can start next month, absorb your changes of mind without a renegotiation each time, and ship continuously rather than in quarterly reveals.
STRV have built their business around funded startups in exactly that window — enough of them to have pattern-matched the failure modes, which is worth more than raw speed. They know which corners are safe to cut before product-market fit and which ones will cost you the next round.
The pro: startup pace with adult engineering habits — rare, and the combination is the whole point.
Go to them if: you've raised, the clock is running, and hiring a team from scratch would eat your runway.
6. Netguru — best for scaling a team fast
Where: Poland, working across Europe and the US.
Sometimes the constraint isn't skill, it's headcount. You have a roadmap that needs six people and you have two, and hiring six good engineers takes nine months you don't have. This is where large European studios earn their keep: they can put a real, cross-functional team — engineers, designers, QA, a project manager who actually manages — on your product in weeks, in a time zone that overlaps your working day.
Netguru is one of the better-known of these, with the scale to cover multiple disciplines under one contract and enough public case work to check they've done something like your thing before.
The pro: capacity, quickly, without a nine-month hiring cycle or a permanent payroll commitment.
Go to them if: the plan is clear and the bottleneck is simply that there aren't enough of you.
7. QwertyBit — best for enterprise-grade AI agents and agentic systems
Where: Europe, working with clients internationally.
That's us, so read this with the appropriate scepticism — and then hold us to it.
Almost everyone can now demo an AI agent. Very few can put one into a business where it touches real customers, real money and real data, and still sleep at night. The gap between those two things is where we live. A demo needs to work once. A production agent needs evaluation — proof it behaves before customers see it; guardrails and permissions — a clear answer to what is this thing allowed to do; observability — the ability to explain, after the fact, why it did what it did; cost control, because token bills scale with traffic in ways that surprise people in month three; and graceful failure, because it will fail, and the question is whether it fails loudly and safely or quietly and expensively.
We're a modern AI studio built around agentic systems — agents that plan, use tools, call your internal systems and carry work through to completion — rather than chatbots bolted onto a FAQ. And we hold ourselves to the same fundamentals we'd tell you to demand from anyone on this list: you own the intellectual property in writing, the code lives in a repository you own from day one, the stack is standard and portable, and every recurring cost is on the table before you sign.
The pro: AI systems specified, evaluated and instrumented like software you'd put your name on — not prompts in a trench coat.
Go to them if: you want an agent doing real work inside your business, and "it worked in the demo" isn't a standard you can accept.
8. Tryolabs — best for applied machine learning
Where: Montevideo and Spain.
Not every AI problem is a language-model problem. Demand forecasting, computer vision on a production line, pricing, recommendation, anomaly detection in sensor data — these need someone who can look at your messy historical data and tell you honestly whether there's a model in it. Increasingly the answer involves classical machine learning, or a hybrid, and a team whose only tool is an LLM will reach for it regardless.
Tryolabs have a long track record in applied ML and computer vision, with a strong habit of publishing technical write-ups — which, as with any studio that works in the open, gives you something real to evaluate before you talk to sales.
The pro: the judgement to say "your data won't support this" — the single most valuable sentence an ML partner can say to you.
Go to them if: the problem is prediction, vision or optimisation rather than conversation.
9. NearForm — best for the layer under your product
Where: Ireland, distributed across Europe.
Every product eventually meets the moment where the interesting problems move underneath the interface: the API that buckles under load, the deploy pipeline nobody trusts, the bill that grows faster than the traffic. That's platform engineering, and it's a distinct craft from product work.
NearForm built their name in the open-source Node.js ecosystem — maintaining and contributing to tooling that a very large slice of the JavaScript world runs on, including Fastify. Teams that maintain infrastructure other people depend on develop a particular kind of rigour about performance and reliability, because their mistakes are public.
The pro: performance and reliability work by people who've had to answer for it at open-source scale.
Go to them if: the product is fine and the foundation is the problem.
10. Thoughtworks — best for untangling something large and old
Where: global — Chicago-headquartered, with offices on most continents.
At the far end of the pipeline sits the least glamorous and most valuable work in software: a fifteen-year-old system that runs the business, that nobody fully understands, that can't be switched off for a weekend, and that has to change anyway.
Thoughtworks have been the reference point for this for two decades. Much of the vocabulary the rest of the industry uses — continuous delivery, the strangler-fig pattern for replacing legacy systems piece by piece, a great deal of how we talk about refactoring — was popularised through their people and their writing, including Martin Fowler. Their Technology Radar remains one of the few genuinely useful public documents on what to adopt and what to avoid.
The pro: scale, method, and a real answer to "how do we change this without stopping the business."
Go to them if: the system is critical, old, and too big to replace in one go.
The one-line version
| Agency | Best at | Reach for them when |
|---|---|---|
| Bakken & Bæck | Discovery and prototyping | The idea is still a hunch |
| Work & Co | Consumer product design | First impressions decide everything |
| ustwo | Mobile craft | The product is the phone app |
| thoughtbot | Maintainable engineering | You'll hand it to an in-house team |
| STRV | Post-seed velocity | You've raised and the clock is running |
| Netguru | Team scale | The plan is clear, the people aren't there |
| QwertyBit | Enterprise AI agents | An agent must do real work in production |
| Tryolabs | Applied ML | The problem is prediction, not conversation |
| NearForm | Platform and performance | The foundation is the bottleneck |
| Thoughtworks | Legacy modernisation | The old system can't be switched off |
How to actually choose
Pick the specialism first. Write one paragraph describing what success looks like six months from now, then choose the studio whose strongest public work most resembles that paragraph. This sounds obvious and almost nobody does it — most founders shortlist on brand, price and how good the first call felt, which is how a data pipeline ends up at a design studio.
Then check the fundamentals, which are non-negotiable regardless of who you pick: you own the intellectual property, in writing, on final payment. The code lives in a repository you own from week one, not delivered "at the end." The stack is mainstream enough that any future developer can pick it up. Every recurring cost — hosting, auth, monitoring, per-token AI usage — is listed before you sign. And you can hold a plain-English conversation with the person who'll actually be doing the work, not just the one selling it.
We wrote the long version of that as a checklist you can take into a first call: how to hire a software development agency in 2026. Bring it to any studio on this list, including us.
And if the answer is an AI agent
If what you're weighing is an agent or an agentic system — something that plans, uses your tools, touches your data and finishes work rather than just answering questions — that's the job we built QwertyBit to do, and we're happy to be judged on the five things we listed above.
Book a free discovery call and we'll be straight with you about whether it's a fit. If your problem is really a design problem, or a legacy problem, or a machine-learning problem, we'd rather point you up this list than sell you the wrong six months. That's not generosity — it's the same reason this article names nine other studios. The right agency for you is a specific answer to a specific question, and pretending otherwise helps nobody.
Escrito por
Vlad Niculescu — Tecnología/Fundador
Ingeniero de software con más de 10 años de producción y una década dentro de la escena IA, fintech y startup de Londres.