Fyma

Fyma is a computer vision Software-as-a-Service (SaaS) company that converts existing camera infrastructure into data-gathering sensors. Founded in 2019 by CEO Karen Burns and CTO Taavi Tammiste, the company originated in Estonia and now has its headquarters in London, UK, with a data science center in Estonia and an office in New York. The initial idea stemmed from a project for the city of Tallinn, which demonstrated that using existing cameras for traffic analysis was significantly more cost-effective and provided a wider variety of data than traditional sensors.

The company's platform uses proprietary, patented AI and computer vision to deliver real-time analysis of video feeds from any IP camera, making it hardware-agnostic. This allows clients to generate insights without installing additional hardware. The technology provides data on occupancy, footfall, space utilization, parking management, and movement patterns, all while being GDPR-compliant and anonymizing data to protect privacy. Fyma's system does not use facial or biometric recognition and is positioned as a statistical tool, not a surveillance tool.

Fyma primarily serves commercial real estate (CRE) developers, asset owners, and managers, along with clients in retail, urban planning, and coworking spaces. Its business model is subscription-based, offering clients access to real-time analytics, heatmaps, and reports through a web application. The platform helps businesses optimize property layouts, improve tenant satisfaction, make data-backed leasing decisions, and enhance operational efficiency. Clients include major real estate firms like QuadReal and Technopolis.

The company has raised a total of $4 million over two funding rounds. A seed round in 2020 brought in $1.9 million, and a subsequent round in November 2023 raised $2.1 million, led by Quadri Ventures and Second Century Ventures. This funding is aimed at fueling the company's go-to-market strategy and advancing product development, including deeper integrations with large language models (LLMs) and generative AI.

Keywords: computer vision, real estate analytics, occupancy tracking, footfall analysis, AI analytics, smart buildings, property technology, hardware-agnostic, video analytics, SaaS, commercial real estate, space utilization, asset management, data-driven decisions, tenant experience, urban planning, predictive analytics, GDPR compliant, portfolio benchmarking, parking management