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AI development studio

We build intelligence
for complex problems.

Custom AI systems that take real work off your team: reading, checking, estimating, inspecting. Designed and shipped to production by one senior team, for businesses where a wrong answer is expensive. Or for the pilot that never made it to production.

Trusted by innovators
What we do

Five services. One team. We turn complexity into clarity.

Strategy

We find where AI actually moves your numbers, and we tell you where it won't.

Design

Products people trust from day one: clear, explainable, built around real workflows.

Technology

Architectures and software engineered to run in production, not just in a demo.

AI

The intelligence itself: custom models, LLMs, agents and data systems tuned to your domain.

Growth

We launch, measure and iterate, so the system keeps improving after go-live.

Real problems.
Real impact.

Every system below is running in production today, measured against the one number that mattered to the client.

Finance, Klever

An AI analyst that reads the filings, listens to the calls and drafts the memo before the meeting.

Retrieval over 40,000 documents, a model fine-tuned on financial language, and an agent that cites the source of every claim. Analysts review; they no longer search.

+25%analyst productivity
−35%risk exposure
Read the case
BOUNSEL
Legal

Contract copilot for a legal-tech platform

Clause extraction, risk scoring and first drafts, grounded in the firm's own precedent, with every suggestion traceable to its source.

−40%research time
3×cases handled
Read the case
SAND
Construction

Estimation engine for construction bids

Reads drawings and specs, prices the work from past bids and explains every line, so estimators can audit instead of recalculate.

−28%estimation time
+32%bid accuracy
Read the case
Ceramic tile panel inspected by the Mosaic computer-vision systemMOSAIC
Industry

Computer vision for ceramic quality control

Defect detection on the line at 40 tiles a minute, trained on the factory's own rejects and corrected by operators in one tap.

99.2%detection accuracy
−21%defect rate
Read the case
How a Maistik system is put together

Four layers. One intelligent system.

Whatever the sector and whatever the problem, an AI system has the same four layers. Follow your data from left to right, or tap a layer to see what it means for you.

Where we are strongest

We don't just use AI. We build it.

Most studios wrap an API and call it a product. We train, fine-tune and architect the intelligence layer ourselves, then ship it with the engineering discipline it needs to survive contact with real users, real data and real regulators.

  • LLMs and fine-tuningDomain-adapted models that speak your language.
  • AI agentsAutonomous systems that plan, reason and execute.
  • RAG and knowledgeRetrieval systems that connect knowledge to action.
  • Multimodal AIVision, audio and text understanding for real inputs.
  • Computer visionPerception for detection, analysis and automation.
  • Generative systemsFrom content generation to synthetic data and simulation.
  • Guardrails and human reviewApproval steps designed into the workflow, and every decision the system makes can be inspected and explained.
  • Evaluation and observabilityEvery output measured against your real cases, before and after launch.
Maistik Studio became our strategic AI partner from day one. Their ability to turn complexity into real systems is unmatched.
Jordi MartínCo-founder & CEO, Sand
sand
Our process

From insight
to impact.

A collaborative process to build the right system, the right way. You see something working before you commit to building it.

Start a conversation
01

Understand

We immerse in your business, data, users and constraints to frame the problem worth solving.

02

Prove and design

A working prototype on your real data, plus the architecture and experience decisions. You see it before we build it.

03

Build and integrate

We train, integrate and ship into your systems, with evaluation from day one so quality is measured, never assumed.

04

Scale and improve

We deploy, monitor and keep improving the system with what it learns in real use.

Testimonials

Trusted by the teams
who ship with us.

What founders and product leaders say after taking a system from idea to production with us.

Adrián de Pedro, CPO at Shakers
“Maistik combines deep AI and product expertise with exceptional support and execution, helping us move faster and build truly differentiated products.”
— Adrián de Pedro, CPOShakers
David Salces, COO at Fibsen Monitoring
“Without Maistik’s technical expertise, business vision, and relentless execution, we wouldn’t have turned a complex idea into a real, scalable solution.”
— David Salces, COOFibsen Monitoring
Eduardo Belda, CEO at Schaman
“From the start, I felt Maistik understood what we needed and knew how to turn it into a clear, solid solution that would genuinely help us.”
— Eduardo Belda, CEOSchaman
Technology partners

We work across the AI stack — from foundation models and cloud infrastructure to data, vision and production systems.

  • OpenAI
  • ANTHROP\C
  • Google Cloud
  • Microsoft Azure
  • aws
  • NVIDIA
  • Databricks
  • Snowflake
  • Hugging Face
  • LangChain
  • OVHcloud
  • DigitalOcean
Before you ask

The questions every
first call starts with.

Short answers here, including how we handle your data. Longer ones on the call.

What are you specialised in?

Custom AI systems: models, agents and automation built around your data and your rules. And everything they need to work in the real world: the software, the infrastructure and the product around them. Three typical starting points: an expert process still run by hand, a new AI-first product, or a pilot that needs to become a production system.

How do we start?

With a conversation about the problem, not a pitch. If it looks like a fit, we run a short scoping phase to understand your systems, your constraints and what "good" looks like, and we come back with a clear proposal before anyone commits to a build.

Do we need a technical team on our side?

No. A person who knows the business and can make decisions is enough. Whether the project is an AI system, a piece of software or infrastructure, we bring the engineering and work with whoever you already have, from a single IT lead to a full team.

How do you price a project?

Scoping is a fixed, closed piece of work. Builds are organised in phases, each with a defined scope and budget agreed before it starts, so there is no open-ended hourly work. Every project is different, which is exactly why we scope before we quote.

Who owns what we build?

You do. Source code, infrastructure, models, prompts and documentation are yours, delivered in your repositories and your accounts. We don't lock you into a platform, because we don't have one.

Where does our data live, and who can see it?

In your environment: your cloud, EU regions you approve, or fully on-premise when the domain requires it. Named engineers with least-privilege access, revoked at hand-over, and every access to production data logged.

Is our data used for anything else?

No. Your data is used only for your project. Nothing trains a shared model, nothing is reused for other clients, and what we build with it belongs to you.

What is signed before we start?

NDA and DPA before scoping. GDPR by default, and we align with your security and compliance reviews, including regulated-sector requirements.

What happens after launch?

We stay. Monitoring, maintenance and improvements from real use, for as long as you want us to. You decide how much to run in-house; we hand over documentation and training either way.

Do you only do AI?

AI is what we are known for, but the same team designs and builds software, infrastructure and complete products, with or without a model in them. If your problem is a platform, an integration or an app, that is a project for us too.

Network of connections spreading from Valencia across the globe

Let's build what comes next. Together.

Tell us the problem. In a 30-minute call you get a straight answer on whether AI can solve it, what it would take and what it would cost. You talk to an engineer, not a salesperson, and we reply within one business day.

Talk to usor write to hello@maistik.studio