Codya

Codya is a Kraków-based AI and machine learning consultancy focused on building custom AI solutions for mid-market (Mittelstand) companies in the DACH region. The company specializes in two core domains: video analytics for automated visual monitoring, and AI agents for process automation. Rather than positioning itself as a software vendor selling off-the-shelf tools, Codya assembles dedicated teams to understand each client's specific business challenge, then builds production-grade solutions from the ground up.

The company works across three engagement models. A proof-of-concept structure (fixed price) suits clients validating ideas quickly—including initial consultation, data exploration, basic model development, and simple deployment. For clients ready to build full systems, Codya offers custom AI/ML solutions on a time-and-materials basis, covering requirements gathering, model development, application engineering, and deployment. Clients seeking ongoing support access Managed AI Services via subscription, which includes monitoring, retraining, performance optimization, and a dedicated support team with SLAs.

Services and capabilities

Codey's service delivery spans the entire AI/ML lifecycle. On the video analytics side, the company identifies use cases where automated visual monitoring adds value—safety (like PPE compliance detection), quality control, logistics, and security. For AI agents, Codya automates high-volume repetitive workflows: document handling, compliance checks, and multi-step processes across ERP or CRM systems.

For custom development, Codya's process begins with discovery and design workshops to understand the business problem and define success metrics. The team then builds a minimum viable product (MVP) to validate core functionality before committing to full-scale development. Data scientists develop and tune models against real-world benchmarks; software engineers build the surrounding application—dashboards, APIs, data pipelines, and user interfaces. Deployment is treated as a non-event: solutions are validated in staging, deployed during low-risk windows, and supported through a post-deployment period. Training and documentation ensure the client's team can operate and maintain the system independently.

Codeya explicitly handles integration with existing infrastructure. The company designs robust APIs and data pipelines to connect AI components with ERP, CRM, MES, and legacy systems, and offers deployment flexibility across cloud, on-premise, and hybrid environments. For companies handling sensitive data under GDPR or facing on-premise mandates for operational reasons, Codya supports secure, compliant deployments within the client's own infrastructure.

The use cases Codya lists include demand forecasting, customer churn prediction, financial risk analysis, document processing via NLP, invoice automation, quality inspection via computer vision, defect detection, OCR for form extraction, product recommendation engines, personalized content generation, predictive dashboards, automated scenario planning, and generative AI for report and communication generation.

Notable work

Codeya cites named clients and testimonials from specific technical stakeholders. Basler (an optics and imaging company) engaged Codya across multiple data mining and AI projects, with Head of R&D Piotr Uhruski praising the team's "attention to details and push for common understanding of project's scope," and noting a "practical approach with short design iterations." Basler also employed Codya for other work: Pauline Lux, a Product Group Architect, called the collaboration "a gamechanger" citing proactive approach and willingness to challenge assumptions.

CRIF, a credit intelligence platform, worked with Codya on a KYC (Know Your Customer) software project. Etienne-Maurice Lemke, Senior Business Consultant, highlighted proactive solution design, excellent communication, and responsiveness. Lekta AI, a startup, engaged Codya to build a user-friendly application; co-founder Daniel Slavetskiy reported smooth development aligned to plan and feeling like a "significant client." The company also mentions a PPE (personal protective equipment) compliance detection system that automatically flags workers without required equipment.

Codeya notes that 80% of its projects evolve into long-term collaborations, suggesting client retention around ongoing work and expansion.

How they work

Codeya uses a formal project kick-off process. Infrastructure and documentation are set up using tools like Jira and Confluence. Business concept analysis reviews client materials, identifies gaps, and flags risks. Initial UI and flow visualization produces wireframes and user flows for discussion. A requirements workshop with client stakeholders refines scope, validates mockups, and prioritizes features. For custom AI/ML solutions, planning and architecture design produces a pre-implementation technical backlog, high-level architecture, security strategy, and technology stack. A development environment is configured with code repositories, Docker, CI/CD pipelines, and cloud infrastructure. UX/UI design produces final mockups and a prioritized product backlog. Final validation obtains sign-off before development begins.

Codeya employs time-and-materials pricing for custom work, with cost determined by specialist team size and complexity. The company emphasizes agile delivery with regular demos and adaptive feedback, iterating on model performance until agreed metrics are met. Clients receive fully documented, transparent, production-grade code with complete ownership and control. The company emphasizes clean, maintainable code and clear documentation for long-term operability.

Team and credentials

Codeya does not disclose team size, founder names, or specific certifications in the source material. The company notes 10+ years of experience and a multidisciplinary team spanning software engineering, data science, data engineering, and UX design. Security and GDPR compliance are described as core to all solutions. The company mentions strict adherence to GDPR and relevant industry standards, with strong encryption, secure data storage, strict access controls, regular security reviews, and audits for continuous compliance. However, no formal certifications (ISO 27001, SOC 2, etc.) are mentioned in the source.