AI & Machine Learning Company in Warsaw

In Warsaw the question is how much of the stack has to survive production: a scoped AI proof of concept at Warsaw rates, a custom production ML model (fraud scoring, churn prediction, recommendation, document extraction), or full production AI systems with RAG, multiple models, fine-tuning, and enterprise integrations. Scope drivers include data audit, a baseline model, and a hosted demo. Polish engineers consistently rank in the global top three on HackerRank, so Warsaw delivery is materially cheaper than London, Munich, or Amsterdam at equivalent quality. We give fixed-fee proposals rather than open T and M estimates.

Regulation (EU) 2024/1689 (the EU AI Act) entered into force on 1 August 2024, with prohibitions applying from February 2025, general-purpose AI obligations from August 2025, and most high-risk obligations from August 2026. It classifies systems as prohibited, high-risk (credit scoring, employment, education, critical infrastructure, biometrics, law enforcement, Annex III categories), limited-risk (transparency obligations on chatbots and synthetic content), and minimal. Polish providers must run a conformity assessment, maintain an Annex IV technical file, implement a quality management system, register the system in the EU database, and run post-market monitoring. Our discovery phase produces the risk classification and a FRIA, and high-risk builds ship with the technical file, instructions for use, and monitoring plan. UODO and the future Polish AI supervisory authority will both lean on this documentation.

Yes. We ship RAG systems, internal copilots, contact-centre assistants, and document extraction pipelines in Polish using Bielik 11B from SpeakLeash, PLLuM from the state-backed consortium, and fine-tuned Llama 3 or Mistral models on Polish corpora. Frontier models (Claude, GPT-4 class, Mistral Large) are deployed through Azure Poland Central or AWS eu-central-1 Bedrock so data stays in the EU. For domain-heavy Polish text (legal acts, KRS filings, NFZ medical coding, ZUS forms), fine-tuned open-weight models on EU GPU clusters typically beat hosted frontier APIs on both cost and accuracy, while keeping you outside the Article 53 general-purpose model regime when you stay below the compute threshold. We benchmark every Polish-language deployment against the SpeakLeash evaluation suite.

Every Codazz Warsaw engagement opens with a GDPR Article 35 DPIA scoped against the Polish Personal Data Protection Act of 10 May 2018 and UODO guidance, including UODO’s 2023 recommendations on AI processing. We minimise personal data in training sets, document the lawful basis under Article 6 (and Article 9 for special categories such as health data under DocPlanner-style use cases), implement Article 22 automated-decision safeguards where the model influences individuals materially, and build deletion and rectification flows that respect Articles 17 and 16. Training data, vector stores, and inference logs stay in EU regions (AWS eu-central-1, Azure Poland Central, GCP europe-central2). Every model card cross-references the DPIA and the AI Act risk classification so UODO inspectors see one coherent narrative.

When a project requires genuine research, such as novel Polish NLP architectures, low-resource speech, satellite imagery segmentation, or reinforcement learning in production, we scope collaborations with IDEAS NCBR (Poland’s AI research centre established under NCBR), faculty at Politechnika Warszawska and Uniwersytet Warszawski, or the SpeakLeash consortium rather than overselling in-house science capability. Our core team handles applied engineering, MLOps, and productionisation, which is where most Polish AI projects actually stall after a strong research prototype. For standard work (RAG, fine-tuning, classical ML, computer vision on known architectures) no academic partner is needed. Where NCBR or KPO grant funding is in scope, we structure the engagement to fit the eligible cost categories and audit trail those programmes require.

We default to AWS eu-central-1 (Frankfurt) as the primary EU region for most Polish workloads, AWS eu-central-2 (Zurich, launched 2022) for Swiss-jurisdiction failover, the AWS Warsaw Local Zone (eu-central-1-waw-1a) for sub-10ms inference inside Poland, Azure Poland Central (Warsaw, launched 2023) for Microsoft-aligned banki and ministerstwa, and GCP europe-central2 (Warsaw, opened 2021) for Google-aligned clients. For LLMs that must stay in the EU under KNF outsourcing rules or NFZ healthcare data rules, we use Mistral on EU infrastructure, Anthropic and OpenAI through Azure Poland Central or eu-central-1, or self-host Bielik, PLLuM, Llama 3, and Mistral on EU GPU instances. Cross-border transfers outside the EEA require Standard Contractual Clauses and a transfer impact assessment under Schrems II, which we document in the data processing agreement.

A typical Polish fintech or bank model (fraud scoring, AML transaction monitoring, credit decisioning, KYC document extraction) takes fourteen to twenty-four weeks from kickoff to production, assuming clean historical data and KNF Recommendation D documentation as part of scope. Week 1 to 4 is data audit and baseline. Week 5 to 12 is modelling, iteration, and challenger testing. Week 13 to 18 is MLOps, monitoring, shadow-mode deployment, and internal audit review. Week 19 to 22 is the AI Act Annex IV technical file and KNF outsourcing notification if applicable. Week 23 onward is gradual rollout. If you are pre-data or need labelling, add six to eight weeks. We have shipped to this cadence inside KNF-supervised stacks running on AWS eu-central-1 and Azure Poland Central.

Most custom AI research and experimental development qualifies for support from NCBR (Narodowe Centrum Badań i Rozwoju) programmes such as Szybka Ścieżka, FENG (Fundusze Europejskie dla Nowoczesnej Gospodarki 2021-2027), and the Krajowy Plan Odbudowy (KPO) AI components, with non-dilutive grant intensities typically between 25 and 80 percent depending on company size and research category. Polish AI projects also frequently combine NCBR funding with Horizon Europe, Digital Europe Programme, and EIC Accelerator instruments. We deliver time-tracked logs, technical narratives, experiment histories, and failed-hypothesis documentation aligned with NCBR audit requirements, and we coordinate with PAIH (Polish Investment and Trade Agency) when the client is establishing or scaling an AI hub in Poland. Final eligibility sits with your grant consultant and the funding body.