Empowering Factory Engineers with AI-driven Microservices




Empowering factory engineers with AI-driven microservices
Semor.ai, a young and innovative startup, is on a mission to transform how engineers in factories handle technical documentation and requirements. By developing an AI microservice specifically tailored for factory engineers, Semor.ai aims to eliminate the need for manual review of every page, detail, and requirement for specific machines or components. Engineers can now upload these documents, and the AI-driven microservice handles the rest - analyzing, summarizing, and identifying inconsistencies, saving valuable time and effort.

Our contribution
easy.bi partnered with Semor.ai to help them bring their innovative concept to life by developing the AI microservice and chatbot that enhances the efficiency of engineers in the field. The microservice is designed to allow users to upload documents related to machine or component requirements. The system then analyzes these documents to generate drafts, highlight any contradictions, and provide the necessary information for engineers to make informed decisions.
We focused on developing the enterprise search capabilities, which enable users to ask questions, attach files, and receive comprehensive responses. The enterprise search also facilitates communication by providing tasks such as summarizing or comparing documents. All uploaded documents are securely stored in a designated space, where the AI can analyze them and provide results, including any contradictions, for review.
Technologies used for this project include Angular for the front-end development and Oracle for data storage and management. By leveraging these technologies, we ensured the solution is both user-friendly and highly effective in improving productivity for engineers.
The journey to success
The success of the Semor.ai project was driven by close collaboration, shared goals, and a strong commitment to innovation. easy.bi worked closely with the Semor.ai team to understand the needs of factory engineers and how AI could best support their work. Through regular workshops and feedback sessions, we were able to align our approach with Semor.ai's vision of simplifying the document review process.
Our focus was on developing a seamless user interaction layer for the microservice, connecting it to Semor.ai’s APIs, ensuring that the user interface was easy to use, scalable, and capable of handling complex technical documents. The integration of an intelligent chatbot provided a seamless user experience and enabled engineers to interact naturally with the system, upload files, ask questions, and receive actionable insights.
By leveraging modern technologies and an agile development approach, we created an interface that empowers engineers to focus on solving problems rather than navigating documentation. Continuous testing and iterations helped us ensure the solution aligned with Semor.ai’s requirements and delivered the desired results.
The impact
The use of Angular and Oracle technologies ensured that the platform is scalable, reliable, and capable of processing complex requirements efficiently. Overall, our ongoing partnership with Semor.ai continues to empower engineers to work more efficiently, improving productivity and driving innovation in their factories.
This project highlights the potential of AI-driven solutions in transforming traditional engineering processes, making them more efficient and reducing manual workloads.

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