Filtering through each alarm detection, the software eliminates most detections and sends for human crowd sourcing verification only when required. promiseQ uses advanced machine learning and cloud-based video analytics/algorithms so that you will not have to waste time and money on false alarms.
promiseQ integrates with your existing Security & Safety Things OS surveillance system. Simply download the *app and allow promiseQ reduce the amount of false alarms.
Download the app and enjoy 14 days of enhanced alarm detection.
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One day our founders, Elias and Tolga, saw an opportunity for artificial intelligence enhanced with the ability to escalate to humans. After extensive market research, the two discovered that false alarms in security were indeed a widespread problem: nearly 95% of alarms from security cameras were sounded in error.
With this in mind, the two began using their days and nights to work on promiseQ. The organization was eventually accepted into the Bosch Startup Incubator, and received its first round of funding from Berlin-based venture capital firm APX. At that point, Tolga and Elias took the leap and forged a partnership with the well-regarded platform Security & Safety Things.
The idea of crowd-working to ensure security is unheard-of. In the world of fully-staffed monitoring centers, and appealing automated solutions that require paying no human, the idea of crowd-working to protect an infrastructure is altogether new. But the numbers speak for themselves: in certified pilot projects, promiseQ has achieved a 99,5% success rate in reducing false alarms, and has done so cost-effectively. Akin to cars that could travel at a speed faster than horses, the proposition of decentralized security monitoring may sound far-fetched, but the success rates and cost savings tell us it is anything but.