promiseQ

Berlin-based promiseQ is a security intelligence firm addressing the costly and pervasive issue of false alarms in the video surveillance industry. Founded in 2021 by Tolga Ermis (CEO) and Elias Kardel (CTO), the company was born from a shared vision to apply their AI expertise, honed in the automotive sector, to a tangible security problem. The founders' journey began when Kardel's father-in-law, a school administrator, expressed frustration over the relentless and ultimately ignored notifications from the school's security cameras. This personal anecdote highlighted a significant market inefficiency, prompting Ermis and Kardel, who met while working at Volkswagen subsidiary HELLA Aglaia, to launch promiseQ.

The company operates on a B2B SaaS model, targeting security companies, Security Operations Centers (SOCs), and system integrators with clients in sectors like construction, transport, and manufacturing. Revenue is generated through subscriptions to its platform. promiseQ's core mission is to drastically reduce the high rate of false alarms—reportedly up to 95%—thereby increasing operational efficiency and cutting costs for their clients. The firm has successfully secured funding to fuel its growth, including a pre-seed round in 2022 and a seven-figure seed round in 2024 from investors such as APX, ExtraVallis, and APY Ventures.

promiseQ's offering is a two-part solution. The first component is the Video Intelligence Platform (VIP), a cloud-based management portal that provides centralized control over surveillance networks. It features user management, forensic search capabilities, statistical reporting, and customizable alerts for human and vehicle detection. The platform's key feature is the 'Threat Filter,' an AI-powered engine designed to analyze video feeds for anomalies and potential threats, effectively filtering out false positives. The second component is the promiseQube, an edge computing device that brings AI processing directly to the camera source. This plug-and-play hardware enables real-time threat detection and analysis at the network's edge, ensuring immediate response while being hardware-agnostic. The device is remotely manageable and receives over-the-air updates, adapting to new security requirements without physical intervention.

Keywords: false alarm reduction, video surveillance management, AI security, security operations center, SOC efficiency, edge computing security, threat detection, video intelligence platform, CCTV analytics, system integrators, B2B SaaS, computer vision, physical security, remote surveillance, real-time alerts, promiseQube, Tolga Ermis, Elias Kardel, security AI, intelligent video analytics