AI & Data

AI & Data built for production

From AI strategy and agentic systems to data platforms, RAG, custom ML. We build AI that delivers real value, not another demo.

Trusted by 40+ businesses

AI and the data underneath. One team, from data to model.

Most AI projects fail because the data isn't ready. Inconsistent schemas, missing lineage, no clear way to get data into a vector store. We treat data and AI as one thing. We build the data platforms, pipelines, and governance that AI needs, alongside the agents, GenAI apps, and ML models on top. Whether you're starting with a use case workshop, modernising your data setup, or scaling an LLM product, we work across the full AI lifecycle.

How we work with you

The principles we apply on every project, regardless of stack, model, or scope.

01

Listen first

A workshop with your team to map the real process, the data, the constraints, and what can go wrong. You leave with a concrete first project ranked by ROI. Not a vendor pitch.

02

Define what good means

We agree on baseline, target, and acceptable trade-offs at the start. So at handoff we can prove value, not argue about it.

03

Embed, don't silo

We work next to your engineers, ops people, and domain experts. Your team learns the system as we build it, instead of getting a handover doc at the end.

04

Ship in weeks

First working version on real data and real users, usually in 3 to 4 weeks. You see whether the value is real before scaling the investment.

05

Design our exit

Documentation, runbooks, evaluation setup, observability dashboards. Built so the people running it tomorrow aren't the ones who wrote it. We step out clean.

Why teams pick Codino for AI & Data

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One senior squad, no handoffs

ML, data, and software engineers in one squad. No handoffs, no missing skills.

Production first mindset

We measure success by what runs in production, not what looks good in slides.

Right sized for your scale

Honest recommendations. Sometimes that means a simpler model or a smaller stack, not a bigger one.

EU based, GDPR fluent

Polish HQ, EU data handling, and privacy practices designed for European clients.

AI & Data questions, answered

Often yes, but not always a full migration. We pick the smallest data foundation that unblocks your first AI use case, then expand as more use cases come online.
Both, when it makes sense. We start with prompts and RAG because they're cheaper and faster to iterate. We move to fine tuning when retrieval can't get you the accuracy or consistency you need.
We design for it from day one. Choosing models that can run in your VPC or EU regions, redacting PII before retrieval, and isolating customer data per tenant. We're happy to work to your DPIA.
We build evaluation setups with test datasets, automated grading, and human in the loop checks before launch, and live monitoring after. Without measurement, AI features drift silently.
Most clients start with a discovery workshop. A fixed scope engagement that produces a prioritised use case backlog and a recommended first project. It's the fastest way to turn ambition into a delivery plan.

Let's Talk About Your Project

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Maciej Roman|CEO & Co-founder