SBYSoft Data Science Consultancy & Software Services

SBYSoft provides advanced data science, analytics, and automation solutions tailored for telecommunications operations. We develop ML-powered tools and frameworks for KPI analysis, fault isolation, configuration management, and RAN planning.

Our expertise lies in transforming large-scale telecom datasets into actionable intelligence—enhancing network efficiency, reducing manual workloads, and supporting AI-driven decision-making across multi-vendor, multi-technology environments.

Download the PDF version of our company profile presentation from the link for comprehensive information.

Case Studies

Download the PDF version of our case study presentation from the link below for detailed insights.

  • AI-Driven vRAN Planning for 4G/5G Networks

    Automated Virtual RAN planning tool developed by using K-means clustering machine learning algorithm to plan and optimize Group Center (GC), Virtual Central Unit (vCU), and Virtual Distributed Unit (vDU) mapping.

  • Multiband RF Model Tuning

    Delivered accurate coverage predictions across four frequency bands (900–2300 MHz) to meet strict regulatory targets and support cost-efficient network planning. Enabled better investment decisions through updated propagation models that reduced redesigns, improved prediction accuracy, and optimized base station deployment.

  • AI-Driven Benchmarking Automation for Telecom Performance Insights

    A fully automated, secure, and scalable data processing and reporting system was developed to handle large-scale telecom benchmarking projects across Europe. The solution included a SQL database, custom data aggregation software, and Tableau-based interactive reports.

  • Automated RAN Data Migration & Optimization for Scalable 4G/5G Networks

    Large-scale data migration, automation, and modeling challenges to deliver a 100% accurate transition from Atoll to Planet Microservices, enabling Rakuten’s dynamic 4G/5G Open RAN rollout with over 90% reduction in manual effort and enhanced network planning precision.

  • Algorithmic Fiber Network Planning for Cost-Efficient Infrastructure Deployment

    SbySoft team tackled the challenge of unifying complex, multi-vendor data and accurately modeling fiber costs across diverse geographies. The resulting solution reduced manual effort by over 70% and enabled high-precision, cost-optimized fiber planning aligned with Vendor’s evolving operations.

SBYSoft – Intelligent Data Science & Automation for Telecom

SBYSoft is a specialized consulting and software development firm focused on data science applications within the telecommunications domain. We deliver advanced analytics, automation frameworks, and custom tools that enable our clients to make faster, smarter, and more cost-effective decisions in mobile network operations and infrastructure planning.

Our Expertise

With a strong foundation in telecom engineering and data science, our core strengths include:

  • Machine learning applications in RAN optimization and fault isolation

  • Automation of complex telecom workflows

  • Custom software tools for planning, KPI analysis, and benchmarking

  • Scalable big data processing and visualization for live networks

Key Capabilities

  • End-to-end automation for planning and database migration

  • ML-powered optimization for coverage expansion, load balancing, and parameter tuning

  • Benchmarking and anomaly detection using drive test and crowdsourcing data

  • Fiber optic cost modeling and topology planning using geospatial algorithms

  • Tool development for real-time monitoring, reporting, and diagnostics

Please check demo software on cloud

https://machine-learning-based-optimization.streamlit.app/