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House of AI Development — Gdańsk, Poland

Elevate your business with world-class AI solutions

Access the top 1% of AI engineers to build cutting-edge solutions that drive real innovation, efficiency, and competitive advantage.

Start your AI journey View case studies
20+ Projects finished
98% Average model accuracy across client deployments
Top 1% AI engineers
/ About Code21

Making AI adoption effortless

We specialize in complex AI implementations that solve real business challenges — from AI Agents to dedicated RAG and ML models.

01 — Our mission

Elevate businesses

Elevate businesses with world-class AI solutions that drive innovation, efficiency, and competitive advantage.

02 — Our vision

Effortless adoption

Making AI adoption effortless, impactful, and accessible for businesses of all sizes.

/ What makes us different

Built for excellence

01

Talent-driven

Access to top 1% AI engineers with specialized expertise in cutting-edge technologies.

02

Deep-tech focus

Specialized in complex AI implementations that solve real business challenges. From AI Agents to dedicated RAG and ML models.

03

Value generation focus

Tailored processes and delivery models specifically designed to maximize value on money invested on digital transformation.

/ Our services ( 05 )

Full stack of AI development

From concept to production-ready models, we cover the full stack of AI development.

01 · ML

ML & AI algorithm development

Custom machine learning solutions and AI algorithms designed to solve your specific business challenges.

02 · LLM

LLM fine-tuning & prompting

Optimize large language models for your specific use cases with expert fine-tuning and strategic prompt design.

03 · DATA

Data annotation pipelines

End-to-end data preparation with scalable annotation workflows and quality assurance for training robust AI models.

04 · AGENTS

AI agent development

Build intelligent AI agents with RAG architectures and internal copilots that enhance productivity and automate workflows.

05 · ML-OPS

ML-Ops & model monitoring

Enterprise-grade infrastructure for deploying, scaling, and monitoring AI systems with CI/CD pipelines.

/ Our engagement model

How we work

A proven 4-step process that takes you from concept to production with confidence.

01 — Discovery

Discovery

Understand needs and define project scope.

02 — PoC

PoC

Validate concepts with rapid prototyping.

03 — Build

Full build

Develop complete solution with iterative approach.

04 — Support

Support

Maintain and optimize performance.

Flexible staffing Scale team size up or down based on project needs and timeline requirements.
Transparent pricing Clear, predictable cost structure with no hidden fees or surprise expenses.
Agile delivery Rapid iterations with continuous feedback and sprint-based development.
/ Success stories

Real-world AI impact

01 / 02 Scroll to advance →
Case 01 · Healthcare

AI psychotherapy app

/ The challenge

Mental health professionals needed effective tools to identify early signs of relapse and gain deeper insights from patient self-assessments, beyond traditional methods. Traditional self-reporting often misses subtle changes.

/ Our solution

Mobile app and cloud platform with 13 specialized AI agents analyzing patient data across multiple dimensions:

  • Multimodal fusion (text + voice + physio signals)
  • Cross-correlation and causal-hypothesis testing
  • AI vs. self-report consistency checking
  • Clinical dashboard with mental health change alerts
90% AI ↔ user agreement
0.92 AUC performance
Deployed in Clinics & private practices
Key value Early relapse detection
Technology stack
Python Mobile app Cloud backend NLP models Voice analysis Physiological signals GDPR compliant HIPAA-ready

*HRV correlation module in pilot phase with patent pending

Case 02 · Wind energy

Advanced ML for predictive maintenance in wind energy

/ The challenge

A leading wind turbine maintenance startup needed an AI-driven acoustic monitoring system to achieve early fault detection (gear wear, bearing faults, delamination) long before traditional SCADA or visual inspections.

/ Our solution

We developed the core machine learning engine — a robust anomaly detection framework processing multi-modal acoustic and vibrational signals (sub-Hz to 25 kHz).

  • Custom-trained deep learning models (autoencoders, convolutional networks) identifying subtle acoustic deviations.
  • A scalable training pipeline for high-frequency data acquisition and real-time preprocessing.
  • Models that automatically classify known faults and detect new anomaly patterns.
  • Resilience to noise, drift and environmental variation.
95% Early fault detection
98% Model accuracy
Detection latency Ahead of SCADA
Signal range sub-Hz — 25 kHz
Robustness Noise resilient
Technology stack
Predictive maintenance Deep learning Anomaly detection Signal processing Edge AI (NVIDIA Jetson) Autoencoders Convolutional networks Data pipelines
/ Let’s talk

Ready to transform your business with AI?

Our team of experts is ready to discuss your specific needs and build a custom AI solution that drives real results.

Start your AI journey See what we built

    / Company info

    Code21 sp. z o.o.NIP: 5862358558

    / Address

    Antoniego Abrahama 1A80-307 Gdańsk, Poland

    / What we do

    House of AI DevelopmentML · LLM · Agents · ML-Ops

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