Case Study

Implementing AI-Based Surveillance with a Remote Team

February 18, 2025
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Client

PromiseQ GmbH

Client Description

PromiseQ GmbH, a Berlin-based startup with seed funding, specializes in AI-driven surveillance solutions.

Project

Fcode Labs partnered with PromiseQ on an impactful initiative. PromiseQ’s flagship technology, promiseQ, employs deep learning and crowd workers to filter out false alarms in video surveillance. Their aim was to ensure accurate threat detection across all camera types.

The Challenge

PromiseQ sought highly skilled engineers to tackle their core challenge -integrating their technology with various video camera types.

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.

Impact

Fcode Labs extended its expertise to PromiseQ for 12+ months, empowering them to enhance AI-driven surveillance capabilities and seamlessly integrate with the world's leading CCTV camera systems. This helped improve the accuracy of threat detection.

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