Metrhack offers intelligent engineering software and consulting services to optimize workflows through a systems engineering approach. They leverage machine learning and data analytics to develop maintainable solutions that enhance engineering processes and extract actionable knowledge from existing data.
Funding
Funding not disclosed
Founders
Product
Problem
Engineering organizations often struggle with inefficient workflows and a lack of integrated systems thinking, leading to suboptimal project outcomes and missed opportunities for improvement. The increasing reliance on scripting languages and diverse software assets within engineering processes exacerbates challenges in management, maintenance, and knowledge extraction.
Solution
Metrhack provides intelligent engineering software and consulting services that optimize workflows through a systems engineering approach. By applying advanced techniques, including machine learning and data analytics, Metrhack develops maintainable solutions designed to enhance engineering processes and drive digital transformation. The company focuses on helping organizations leverage their existing data to extract actionable knowledge, thereby improving productivity and project delivery. Their expertise spans application development, systems engineering management, and test engineering, offering tailored solutions to meet specific project needs.
Target Audience
Metrhack serves engineering companies and organizations that require optimized workflows, robust systems engineering practices, and advanced application development to enhance their project delivery and digital transformation initiatives.
Features
- Development of custom applications including command-line scripts, web applications, mobile apps, and microservices.
- Expertise in a range of programming languages and technologies such as C#, Typescript, Python, MATLAB, PHP, SQL, HTML & CSS, React, React Native, and Tensorflow.
- Systems engineering services encompassing Systems Engineering Management Plans, Concept of Operations, Requirements Engineering, and Verification Plans.
- Test engineering support including Test Planning, Test Procedure Development, and Tooling & Calibration Management.
- Application of machine learning and data analytics for knowledge extraction and process improvement.
- Focus on creating maintainable software assets and managing diverse engineering software.