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Enhance Your Product with Precise Identification of All Connected Devices

By analyzing common network protocols, we recognize all wireless and wired devices in home, office or enterprise networks by type, make, model, and operating system (name and version). Our device recognition enhances various cybersecurity and IoT solutions. It benefits multiple applications such as ZTNA, MDR, EDR, parental control, BYOD, Internet bandwidth management, smart home improvements, and many more.

Let’s discuss how we can accelerate your go-to-market by leveraging our technology.

Device Recognition

Market Leaders Use Our Technology

How Can You Leverage Device Recognition in Your Industry?

Our market-leading device recognition is embedded in third-party products and services across multiple industries, in both Fortune 100 companies and early-stage startups, to enable them to offer greater functionality and capabilities to their clients.

Device Recognition for Cybersecurity

Device Recognition for Cybersecurity

Network visibility is the first essential step in cybersecurity. Without visibility, there’s no way to know what devices are connected to the network at any point in time.  Cyber companies can strengthen endpoint security by integrating device recognition solutions that provide complete visibility, control, and proactive defense.

Device Recognition Telecom

Device Recognition for Telecom

Network operators are not just organizations that sell connectivity to home and business consumers. They are the single point of contact for anything on the network. And as such, they need as much information as they can possibly gather to support their customers. Lansweeper’s Device Recognition technology enables many telecom providers to understand what devices are used on their networks. It allows them to provide a better customer experience through visibility and control.

Device Recognition for Hardware Manufacturers

Device Recognition for Hardware Manufacturers

The average household now has 16 connected devices, from desktop computers to laptops and tablets, smartphones, wearables, IoT devices, and smart appliances. That’s a lot of devices to keep track of. We work with many leading network hardware manufacturers to power the device recognition in their routers, firewalls, and switches so that end users can always identify and control which devices connect to their network.

How It Works

Our Device Recognition is driven by our patented MAC clustering technique, which incorporates machine learning & AI with billions of monthly data points to provide an unrivaled prediction model for device identification. We can return the device type, brand, model, and operating system by analyzing over 15 network protocols, including MAC address, DHCP fingerprint, User-Agent, UPnP, Bonjour, Netbios, and SNMP information.

Additionally, we leverage crowdsourcing to validate and improve device recognition accuracy while machine learning techniques extract maximum value from the data.

With one of the most extensive data sets in the industry, over 1.3 billion uniquely identified devices and counting, and a prediction model of over 50 billion devices, it’s no wonder that many industry leaders choose to leverage our capabilities under the hood.

Device Recognition Output Code

Flexibility For Any Environment

Our device recognition can be utilized in a number of ways, to fit a variety of vendor requirements. What’s more, we structure our pricing to grow with your company, and so can continue to work with companies as they progress their products and services.

Start building today: Choose your deployment option to get started.

Cloud API

The Cloud API key provides the immediate access to our device identification technology by standard HTTP requests.

Mobile & Desktop SDK

The network scanning & the device identification technology for mobile, desktop & embedded environments.

On-Premise Solutions

An offline implementation suitable for closed environments that have no exposure to external networks.

Active Scanner

An embeddable scanner suitable for switches and firewalls, that can perform passive collection and active scanning.

Why Work With Us?

Building device recognition capabilities is a long, arduous process that requires continuous investment, maintenance, and innovation. Before working with us, a number of our partners begin some form of self-built device recognition, but their accuracy is lacking in a space where accuracy is the name of the game. And rightly so – it takes years of data points, machine training, and constant evolution of models to deliver reliable data consistently. That’s where we come in. This is our space, and our continued investment in device recognition ensures that we always provide the highest levels of accuracy and reliability.


your go-to-market, by reducing the time taken to build out a core component


on your core business, and leave the ongoing innovation & maintenance to a dedicated group of engineers, data scientists and product specialists


the market by leveraging industry leading device accuracy

Lansweeper Device Recognition in a Nutshell

Crowdsourcing and Artificial Intelligence

We leverage crowdsourcing to validate and improve device recognition accuracy. Machine learning techniques are applied to crowdsourced data.

Largest Database in the World

We recognize more than 50 billion IoT devices leveraging on a constantly growing set of more than 1.3 billion unique devices identified up to date.

Saving Time and Money

We accelerate the time-to-market by eliminating your need to form a new team, invest in new tools, and take away the focus from your core business in order to build an in-house solution from scratch.

Cross-fingerprinting Analysis

Standard and proprietary techniques are applied to DHCP Parameters List and Vendor, Hostname, HTTP User Agent, UPnP and mDNS services, SNMP Oids, NetBios names.

Results with MAC Address only

We have developed a unique patented algorithm to recognize devices by type, make, model, and OS based purely on analyzing the MAC address. We go far beyond the Vendor lookup.

Easy to Integrate With Any Application

Our tools can be seamlessly integrated into HW and SW products through cloud APIs, multi-platform SDK (including Mobile App), Offline Database or on-Premise solutions.

What is Device Fingerprinting? Here’s an Overview

A device fingerprint is a collection of information about the hardware and software of a computing device. The term is used as a synonym and interchangeably with “device recognition” and “device identification.” Device fingerprinting is commonly used in cybersecurity for ZTNA, identity validation, fraud prevention, and detecting and addressing vulnerabilities such as outdated OSes, to name a few.

Device Fingerprinting


The uniqueness of our technology is the application of MAC clustering to device recognition: the machine learning allows us to increase the knowledge of IoT devices by leveraging their fingerprints. Our device recognition is powered by standard Big Data & Analytics, Machine Learning, Real-time streaming Analytics, Insights and Visualization.

We offer our device scanning and recognition in different format to meet large enterprises’ needs: Cloud API; Multi-platform SDK (Android & iOS; Windows DLL; Mac DyLib; Linux SO); On-premise solutions.

The Cloud API is the immediate access to our unique identification technology by standard HTTP requests.

The Mobile SDK contains the network scanner and our proprietary device identification technology.

This recognition kit allows developers access to our proprietary machine learning expertise for desktop and embedded environment.

Our Device recognition is integrated by System Integrators, Telecom, Cyber Security, Hardware Manufactures and Insurance Companies.

  • ARP (Mac Address)
  • DHCPv4, DHCPv6 (Params, Vendor, …)
  • DNS (Hostname)
  • HTTP (User Agent)
  • UPnP (Device Type, Manufacturer, Services List)
  • mDNSNetbios (Services)
  • SNMP (OIDs like SysObject ID, Description, …)
  • SSH, Telnet, FTP (Banners) NEW
  • HTTP (Server) NEW
  • TLS/x509 (Certificate, Subject and Issuers) NEW
  • HTML (Title, Favicon) NEW
  • SMB (Native OS and LM) NEW