// Why you should care
We turn complex requirements into solid technical solutions through fast, iterative development. We help you launch only what's needed, using AI as a strategic tool, not as a pointless added cost.
// SOUND FAMILIAR?
AI isn't a magic wand, it's a tool. If you feel pressured to innovate without a clear vision, it's because you're missing a partner who puts your results ahead of the trends.
You're offered 'standard' solutions that don't account for your actual infrastructure, your data, or your business goals.
You're worried about investing in technology you can't control, monitor, or scale. That's how innovation turns into technical debt.
You've seen impressive but fragile demos that offer no guarantee of stability when faced with real users.
// THE DIFFERENCE
We've shipped scalable AI systems in production and stopped AI adoption on projects where AI wasn't the right answer. You pay for our experience, not our time.
If your problem can be solved with traditional software, we'll tell you. We don't complicate the architecture to inflate the budget: we build only what your business actually needs.
We're not tied to a single vendor or model. We adapt to your tech stack and choose the most efficient tool for each challenge, integrating seamlessly into your existing workflows.
We develop white label: all the code, infrastructure, and documentation are 100% yours. No hidden costs, no proprietary technologies. We create assets you can manage completely independently.
Most people stop at the demo. We design and build systems with integrated observability, rigorous testing, and a standardised codebase: solutions that scale without collapsing at first real use.
// WHAT WE DO
We build production-ready systems. We adopt the right technology for your problem, not the other way around.
A scoped engagement, usually one to two weeks, to assess technical feasibility, realistic costs, and whether AI is the right tool. You get an honest verdict — including "don't build it" when that's the answer.
Deliverables
Feasibility report · Tech stack recommendation · Cost estimate · Build / don't-build verdict
We translate your requirements into clear technical specifications — architecture diagrams, data flows, API contracts, and infrastructure design. Enough detail for any engineering team to execute without guessing.
Deliverables
Architecture doc · API contracts · Data model · Infrastructure design
A focused, time-boxed build that tackles the highest-risk technical questions first. We scope tightly, move fast, and give you something working — so you can make a confident go / no-go decision.
Deliverables
Working prototype · Technical findings · Risk assessment · Recommended next steps
We work inside your existing setup — your stack, your processes, your rituals. Good for teams that need deep technical expertise on a specific problem or for a defined period, without the overhead of hiring.
Deliverables
Defined engagement scope · Weekly syncs · Code ownership stays with you
Most real projects need some combination of these. Tell us what you're building and we'll figure out the most effective way to work together.
Get started
// SELECTED WORK
The problem
An e-commerce startup with several AI services already running faced the challenge of scalability. The codebase wasn't standardised, redundant architectural layers were generating latency, and the lack of an observability and testing strategy made it difficult to guarantee the quality and flexibility needed as the product evolved.
What we did
We performed a full refactoring to standardise the codebase and removed redundant layers, optimising performance. We improved the management of tools like LiteLLM and LangSmith to gain full visibility into AI flows, refining prompts to improve their effectiveness. We then introduced a suite of unit and integration tests to lock in the correctness and quality of the exposed services.
Result
Platform stabilisation and the new observability layer were the main drivers of change, allowing us to monitor every interaction and proactively act on quality. This data-driven approach unlocked the team's ability to ship new features quickly. The quality leap had a direct impact on the startup's growth: the reliability achieved allowed them to scale their commercial offering, leading to the acquisition of several high-profile new clients they previously couldn't have handled.
The problem
A US VC-backed fintech startup aimed to disrupt the accounting market by fully automating the US tax return filing workflow. The main challenge was overcoming the need for manual human input on legacy software, transforming a slow, error-prone process into an autonomous, scalable workflow.
What we did
After a strategic brief to define the functional scope, we developed a Proof of Concept in just 30 days. Once validated, we engineered an advanced autonomous agent combining OCR and Computer Vision to interpret complex tax documents. The agent interacts directly with Windows desktop environments, operating tax software via automation libraries and interface navigation. The entire system was secured with robust observability mechanisms to monitor every agent action in real time.
Result
In just three months, working closely with the DevOps team, we brought the system to production. The agent allowed the startup to offer a service that drastically reduces accountants' manual work, accelerating delivery times and improving data accuracy. This success transformed the company's value proposition, enabling immediate operational scalability on the US market.
The problem
A cultural association had an author's entire digitised bibliography but lacked an effective tool to consult it. The need was a web platform allowing scholars to perform advanced semantic and full-text searches (Fuzzy Search) to find exact occurrences and phrase variants across thousands of pages, going beyond the limits of simple text search. Previous attempts had failed due to excessive development timelines.
What we did
We designed and developed a custom platform based on the Apache Solr search engine, configuring it to handle high-performance fuzzy searches and precise occurrence counting across large volumes of text. We implemented an architecture that includes a dedicated admin section, allowing association staff to upload, tag, and index new texts completely independently.
Result
Challenging the timelines of previous attempts, we released a functional MVP in just 30 days, completing the full platform in the following months. For the first time, association members had a professional, fast, and precise search tool, transforming a static archive into a dynamic resource consultable at a scientific level.
// COMMON QUESTIONS
That's exactly what we help you figure out. Many problems that seem to need AI are better solved with a solid database, a rule-based system, or cleaner processes. We'll tell you honestly, before you spend money on the wrong thing.
Technical assessments start at €3k–€5k and take one to two weeks. Full builds typically range from €15k to €25k depending on scope. We charge fixed price: you know the cost before we start, and it doesn't move.
An assessment takes one to two weeks. A working MVP from scratch typically takes four to six weeks. We don't pad timelines. If we finish early, we're done.
No, that's actually the right starting point. The assessment is designed for this. We help you define the problem, evaluate options, and give you a clear recommendation before you commit to building anything.
The assessment ends with a written verdict. If we don't think you should build it, that's the outcome, and it saves you from spending ten times more on the wrong project. There's no obligation to proceed.
Yes. We're used to explaining technical tradeoffs to founders and business owners. We won't bury you in jargon. If something is complex, we'll show you why, not just tell you.
No. ChatGPT is a consumer product. When we talk about AI, we mean the broader set of techniques: machine learning models, computer vision, semantic search, classification systems, OCR, and yes, sometimes large language models. Which one we use depends entirely on your problem. Often the right answer isn't a language model at all. We choose based on what actually works, not what's trending.
// GET STARTED
Answer 7 quick questions. We'll send you a rough estimate — no calls, no commitment.
We read every message. We'll tell you honestly if we're not the right fit.