Best AI Agencies for Project-Based Work in Warsaw (September 2026)

The project work documented in Warsaw runs from product engineering with a model at the core to workflow automation with no trained model, and the useful evidence is what got handed over. Sparkbit's write-ups spell out the model, the metric and the handover: a 12-month extension of 5x5 Technologies' telecom-tower digital twin retrained a YOLOv8 equipment detector from F1 0.72 to 0.86 and closed with a documented handover, and the posture-analysis core built for the health-tech startup phy went into the client's FDA application. Brights documents one standout inside a project index running past 70 builds: a multi-agent RAG consultant for the Kadroland and 7eminar training platforms, graded by the client's own experts on 250 questions (80% rated excellent) as a Telegram proof of concept, then live on both sites within three months. Mobile Reality's named client work is the Pregnabit CTG signal analysis for Nestmedic, with no accuracy or dates published; its churn, forecasting and property-valuation models are anonymous. At the automation end, Flobotics' UiPath bots at Axpo are reported at 6.18 full-time equivalents saved, robotic process automation by the firm's own account, and Atomic Actions parses X-Cel Technologies' packing slips with a ChatGPT API call inside a Make.com scenario.

For a product company here, the sorting question is what number the project was accepted against. Sparkbit's F1 figures and Brights' expert-graded question set are acceptance criteria a buyer can reuse; the curator notes that every Mobile Reality client study except Pregnabit is anonymous and none reports accuracy, and that Brights' service page offers model training and fine-tuning while no published project shows either. Ask for the evaluation set that decided the handover, and ask who is named: no founder or engineer appears on Sparkbit's site, and Mobile Reality's team page lists no data scientist.