Research-led AI and cybersecurity development with European funding focus
Yeeply's public posture is a marketplace connecting clients with dev shops, but the tech stack and project portfolio reveal a parallel research operation. The company is actively staffing research (6 headcount), data (3), and security (2) roles—all senior-skewed—while building ML infrastructure (TensorFlow, PyTorch, Keras, scikit-learn, XGBoost) and deploying Kubernetes + cloud (AWS, Azure, GCP). Project list is dominated by EU-funded R&D initiatives (Horizon Europe proposals, consortia building, biotechnology, applied cybersecurity + AI) and TRL 2-5 lab validation work, suggesting a pivot toward grant-backed innovation rather than pure staffing.
Yeeply was founded in 2012 as a marketplace connecting clients to software development companies across 40+ countries, facilitating over 2,000 digital projects. The company handles Android, iOS, JavaScript, Ruby on Rails, .NET, Java, Python, and C++ work at scale. Internally, Yeeply has grown a dedicated research and data science organization staffed mostly by senior practitioners, indicating a shift toward building proprietary AI and cybersecurity capabilities alongside—or possibly ahead of—its marketplace business. All current hiring is concentrated in Spain.
Machine learning (TensorFlow, PyTorch, Keras, scikit-learn, XGBoost, LightGBM, transformers, BERT), data processing (Pandas, NumPy, SciPy, Apache Spark, Hadoop), infrastructure (Kubernetes, Istio, Docker, AWS, Azure, GCP), security (XDR, SOAR, SIEM), and programming languages including Python, Java, C++, and R.
EU-funded R&D projects, including Horizon Europe proposals, cybersecurity + AI research, intelligent anomaly detection, automated incident response, biotechnology development, and TRL 2-5 lab validation. Pain points center on European research proposal development, building international consortia, and strengthening technological resilience.
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