Levl Technologies

Founded in 2017 by CEO Daniel Zahavi and CTO Michael Estrin, Levl Technologies, Inc. operates as a cybersecurity firm specializing in device intelligence and identity management. The company, with headquarters in Silicon Valley and an R&D center in Israel, was established to address the growing challenges in network security and user privacy. A significant milestone for the company was its acquisition by Comcast and Charter in a joint venture on June 20, 2022, for an estimated $50 million. Prior to this, Levl had raised $8 million in funding from investors including UpWest, Alter Venture Partners, Ubiquity Ventures, and the Korean fund AI Alliance.

Levl Technologies offers a business-to-business (B2B) solution targeting the challenges posed by Media Access Control (MAC) address randomization, which complicates device identification on networks. The company serves clients such as internet service providers (ISPs) and network operators in sectors including hospitality, transportation WiFi, multi-dwelling units (MDUs), and municipal spaces. Its business model is centered on providing its proprietary LEVL-IQ platform as a Software-as-a-Service (SaaS) solution.

The core of Levl's offering is the LEVL-IQ platform, a device intelligence and identity management system. This platform utilizes a patented, passive out-of-band approach to discover, identify, and verify devices attempting to access a network. By leveraging data from all seven layers of the OSI model, including physical layer (Radio Frequency) information and machine learning, it creates a unique identifier called a LEVL-ID for each device. This process happens passively, without storing personally identifiable information (PII) on the device or transmitting the ID over the air, thus preserving user privacy. The platform can accurately differentiate between device types, such as an iPhone, Apple Watch, and iPad, a capability other solutions may lack. This technology provides network administrators with crucial context about devices, including their type, manufacturer, model, OS, and whether they are behaving as expected, which helps in managing network security and ensuring quality of service.

Keywords: device intelligence, network security, device identity management, MAC address randomization, wireless device authentication, cybersecurity, IoT security, physical layer intelligence, network operator solutions, ISP technology, Radio Frequency fingerprinting, LEVL-IQ, passive device identification, user privacy, network behavior analysis, device context, quality of service management, telecommunications security, access control, network insights