Jagan Solutions

Jagan Solutions is a Poland-based AI and machine learning firm founded in 2016 by Jacek Aleksander Gruca, a PhD computer scientist with a background in quantum information and computational mathematics. The team of seven engineers operates from offices across Poland (Gdańsk, Gdynia, Wrocław, Kraków) and holds a 5.0/5.0 rating on Clutch. The company specializes in machine learning, scientific computing, and optimization, with practical experience in finance, insurance, healthcare, e-commerce, cryptocurrency, pharma, and data-heavy industries.

Gruca's path from his 2009 University of Gdańsk master's degree through roles at Kainos, EPAM Systems, and stints at Morgan Stanley, Citigroup, and Bloomberg informs the firm's technical rigor. A postdoc in quantum information and a 2022–2023 Fulbright Senior Scholarship at Columbia University (focused on computational mathematics) round out his credentials. The company was recognized as AI Solutions Provider of the Year at the 2023/2024 Eastern Europe Prestige Awards.

Services and capabilities

Jagan Solutions' service stack centers on three pillars: artificial intelligence and machine learning, scientific computing and optimization, and infrastructure integration.

Under AI/ML, the company offers intelligent visual processing (image segmentation, object verification, pedestrian detection, face reenactment), automated language processing (sentiment analysis, document workflow optimization), and AI-powered content generation (dashboards, personalized content). The team has demonstrated expertise in building ensemble models for extracting dozens of data points from unstructured and semi-structured data without manual intervention, as evidenced by work detailed in client testimonials.

Scientific computing capabilities span operations research, quantitative analysis, and simulation. The firm uses these tools to help clients with creditworthiness assessment, risk optimization, and scenario testing before execution. They adapt solutions to both cloud and on-premises infrastructure, learning client systems to customize deployment.

Three concrete solutions appear repeatedly: (1) creditworthiness assessment systems that guide loan applicants toward approvable applications; (2) NLP-based automation for textual and PDF data classification, extraction, and question-answering; (3) fraud detection in health insurance using machine learning to identify false claims early. The face reenactment project—making static character images follow driving video expressions—shows work on niche visual problems.

Notable work

Ivy Data engaged Jagan to process unstructured CSV files into a machine learning model. The result was a complex ensemble model extracting dozens of data points from unstructured and semi-structured data with zero human intervention in the process. Ivy Data founder William Flynt highlighted the documentation as exceptional, describing it as "a truly comprehensive, zero-to-complete-understanding guide to the entire process, from exploratory data analysis to running, deploying, and even updating the model." Flynt indicated intent to return for future model work.

How they work

The engagement model is not explicitly detailed on the site. Jagan does offer free consultations and positions itself as a strategic technology partner—not just a coding shop. They learn client systems, recommend appropriate technologies, and integrate with existing cloud or on-premises infrastructure. The source does not specify whether they work on fixed-price projects, dedicated teams, T&M, or staff augmentation.

Team and credentials

Jacek Aleksander Gruca (CEO, PhD) has 10+ years of software engineering experience and specializes in scientific computing, optimization, and machine learning. Tomasz Kacmajor (CTO) is a technical manager overseeing project quality. The team includes Piotr Cholewa (Senior Software Engineer, web development focus, Wrocław), Robert Podymski (Business Analyst, specs and project management, Wrocław), Grzegorz Rucki (Senior Machine Learning Engineer, 7 years in AI, masters in Applied Computer Science, Kraków), Grzegorz Kania (Senior ML Engineer, data science and algorithm optimization focus, Gdynia), and Kornel Witkowski (ML Engineer, electronics and theoretical physics background, Wrocław). The firm holds a 5.0/5.0 Clutch rating. No ISO, SOC 2, or other certifications are mentioned. No partner status with AWS, Google, Microsoft, or Shopify is claimed.