AI-driven mobile network optimization for carriers and operators
P.I. Works builds AI and automation tools for mobile network operators, with deployments across 84 operators in 58 countries. The stack reveals a mature data science operation (Python, scikit-learn, TensorFlow, Keras, pandas) paired with enterprise tooling (SQL, C#, Azure, Docker), indicating both algorithmic depth and production-grade infrastructure. Pain-point data signals significant operational friction around manual processes—network management, accounting, payroll, and expense controls—suggesting the company is scaling operations faster than processes can keep up.
P.I. Works provides AI-driven mobile network management, optimization, and planning solutions to carriers globally. The product portfolio spans network performance monitoring, self-organizing network (SON) automation, O-RAN stack management, and managed optimization services. The company has deployed at 84 mobile network operators across 58 countries and holds active memberships in ETSI, 3GPP, O-RAN Alliance, and GSMA. Based in Istanbul and privately held since 2005, P.I. Works operates a 201–500-person organization with engineering and finance as primary scaling departments. Current projects focus on KPI auditing, ML-driven network management, dashboard automation, and new accounting system implementation.
Python, TensorFlow, Keras, scikit-learn, pandas, NumPy for ML; SQL, PL/SQL, C# for backend; Docker, Linux, Azure for infrastructure; Git, GitLab CI/CD, Jira for development; Angular, HTML, CSS, JavaScript for UI.
84 mobile network operators across 58 countries have deployed P.I. Works solutions for network optimization and management.
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