Case Study

Remote team for AI-based surveillance startup

January 3, 2025
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Client

PromiseQ GmbH

Berlin, Germany

Client Description

Located in the heart of Berlin, Germany, PromiseQ GmbH is an innovative startup focused on revolutionizing video surveillance through AI-based technology. This company, which has received seed funding, is driving advancements in false alarm filtering systems aimed at improving the accuracy and efficiency of security monitoring.

Project

PromiseQ’s flagship product utilizes cutting-edge false alarm filtering technology, which is designed to detect and identify genuine threats in video alarms, significantly reducing the number of false alerts. By leveraging the power of deep learning algorithms and crowd workers, the solution enhances the ability of surveillance systems to accurately assess and verify security events. PromiseQ’s analytics can be integrated with all types of cameras, making it a versatile solution for various industries, including security services, public safety, and more.

Our Engagement

Fcode Labs has been actively involved in supporting PromiseQ’s growth by providing remote full-stack developers and AI engineers who work seamlessly with the company’s internal engineering team. Over the course of 12+ months, our experts have contributed to the development and optimization of PromiseQ’s core systems, enhancing both the AI capabilities and overall performance of the platform. This remote team extension has enabled PromiseQ to scale its engineering capacity while maintaining a high level of efficiency and expertise.

Tech Stack

The cutting-edge tech stack for PromiseQ includes:

  • VueJS and MaterialUI for building dynamic and user-friendly front-end interfaces.
  • NodeJS and TypeScript for the backend to ensure fast, scalable, and efficient development.
  • Python for implementing deep learning models that power the core of PromiseQ’s AI algorithms.
  • Serverless architecture, Firebase, and Google Cloud Platform (GCP) for seamless integration, scalability, and performance.

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