BİAS MÜHENDİSLİK

Bias Muhendislik, founded in 1997, is one of the most established companies in Turkey, offering advanced engineering solutions. In addition to the sales of engineering calculation (CAE) software and test-measurement systems, project-analysis and test-measurement services are its main fields of activity. It serves with a staff of 145 people. It is Turkey's leading engineering company offering End-to-End Solutions, incorporating all processes from design to comprehensive analysis-simulation capabilities, advanced environmental testing-mechanical test-measurement and verification infrastructure, prototype manufacturing to final production. TOSB BİAS Automotive Test Center located in Gebze-TAYSAD is the largest accredited private test center in Turkey. Bias is offering E2E solutions like custom mechanical test systems, mechanisms, custom machines, driveline components. BİAS is the largest mechanical engineering company in Turkey regarding, design-development software engineering experience and highly dedicated test-measurement-verification, etc. infrastructure and projects handling.

BİAS is designing and manufacturing test-measurement systems as well as exporting them in global market. It carries out special machine-system-mechanism, driveline parts and components design and production.

Moreover, Bias investing on road safety solutions with the aim of improving driving and road safety, increasing driving comfort, optimizing transportation costs and fuel consumption/carbon emissions, and developing new generation transportation technologies with the collected data.

Wecloud TIMS, developed by BİAS Mühendislik, is a comprehensive Data Monitoring and Test Management Solution designed to streamline testing processes. The platform features specialized modules such as Test Planning and Task Management, which allows users to define requirements, assign test procedures, and monitor progress indicators. Furthermore, it seamlessly integrates Team and Asset Management to monitor team workloads, track asset availability, and schedule upcoming maintenance or calibrations, while efficiently handling test data acquisition and metadata capture.

To maximize the value of the gathered information, the system incorporates advanced Data Analytics that utilize automated templates to compare data and share results. It is significantly enhanced by an AI-Powered Anomaly Analysis module that provides anomaly detection, evaluates and classifies incidents, performs root cause analysis, and delivers smart notifications. Finally, continuous oversight is ensured through its Alarm Management and Reporting capabilities, which track KPIs, log user times, and generate automated test and incident reports