Our Device Recognition technology uncovers every connected device across home, office, and enterprise networks by analyzing network protocols. Gain visibility into device type, make, model, operating system (name and version), and more—providing a foundational layer for precise asset intelligence.
Largest Device Database Worldwide
Two Billion+ Unique Devices
Embed our technology to elevate your solution’s capabilities.
Try our device identification technology in your product or service with a free trial.
Access detailed API documentation on how to use our Device Recognition API.
Our Device Recognition technology – powered by Fing – leverages a patented MAC clustering technique, enhanced by AI and machine learning, to deliver unparalleled accuracy in device identification. By analyzing over 15 network protocols—including MAC address, DHCP fingerprint, User-Agent, UPnP, Bonjour, NetBIOS, and SNMP—we identify device type, brand, model, and operating system with precision.
We further enhance accuracy through crowdsourcing, continuously validating and refining our data. With one of the largest datasets in the industry – over 2 billion unique devices and a predictive model covering 50 billion devices – industry leaders rely on our technology for seamless, reliable device recognition.
Our Device Catalog delivers rich metadata—such as release dates, end-of-life (EOL) and end-of-support (EOSL) dates, warranty information, documentation references, and smart-home integration options—that often goes undiscovered.
Through a simple API, you can maintain a normalized inventory of devices, operating systems, and brands, with each entry enriched by detailed, expertly vetted information from our world-class team.
Products
Brands
Operating Systems
Software
We leverage crowdsourcing to continuously validate and enhance device recognition accuracy. Machine learning refines this data to ensure precise results.
Our database includes over 50 billion IoT devices, with more than 2 billion unique devices identified
Accelerate your go-to-market without the need to assemble a new team or invest in extra tools. Focus on your core business while we handle the device recognition.
We apply both standard and proprietary techniques across DHCP parameters, HTTP User Agent, UPnP, mDNS, SNMP OIDs, and NetBIOS names to achieve unmatched accuracy.
Our patented algorithm can identify devices by type, make, model, and OS using only the MAC address—providing insights far beyond basic vendor lookups.
Our solution integrates easily with hardware and software via cloud APIs, multi-platform SDKs, offline databases, or on-premises setups, adapting to any application.
«Before integrating Device Recognition, we were only able to identify devices by IP and MAC addresses, but we had little insight into what the devices were, how they behaved, or what security measures were implemented.”
We offer tailored licensing options designed to meet the unique requirements of enterprises and technology providers. Whether you’re integrating device recognition into a large-scale enterprise solution or developing specialized applications, our flexible licensing is designed to scale with your business.
Accurate, detailed & reliable data is the foundation of any product. Technology Partners choose Lansweeper to help them discover, organize, and enrich customer data.
Accelerate your go-to-market by skipping the lengthy process of building a core capability from scratch.
Focus on your core business, while our dedicated team of engineers, data scientists, and product specialists handle innovation and maintenance.
Lead the market by leveraging best-in-class device accuracy from a trusted partner.
Fing is a network scanning and device recognition technology acquired by Lansweeper in 2020. Known for its powerful device identification capabilities and extensive device database, Fing has greatly enhanced Lansweeper’s own network discovery capabilities. Fing’s device recognition technology is now available as an OEM product, providing advanced device recognition features for customers.
Fing’s technology can turn basic network data, like a MAC address, into highly specific device information. It accurately determines the device’s make, model, type, and operating system with a precision unmatched in the industry. This is possible because Fing has one of the largest databases, with over 2 billion uniquely identified devices.
