Case Study: Citizen achieves faster, more accurate emergency response with STRV

Citizen reduces emergency radio noise by 80-98% with STRV

Citizen, a safety app providing real-time emergency alerts, faced challenges with filtering high volumes of irrelevant data from emergency radio transmissions. This created inefficiencies and a heavy manual workload for its analyst team. Citizen partnered with STRV to refine its internal data tools using AI and machine learning services.

STRV developed an AI-driven pipeline leveraging OpenAI's Whisper for speech-to-text and fine-tuned GPT models for data processing. The solution significantly reduced emergency radio noise by 80-90% and cut manual data processing by 70%. This allowed Citizen to expand into over 15 new markets more efficiently without increasing headcount, accelerating response times for its users.

Citizen