FAQ

Yes! Click here to start now.

Contact us to book an appointment with one of our team members here. Or, try a free demo of our web app here.

Our headquarter is located in Montreal, Canada but we have a presence in Europe, South Africa and Latin America. Learn more about our company here.

Yes, the solution is designed to be secure, with a limited number of open ports, and is Soc2 compliant.

Yes, the solution is designed to be very light and to have a low energy impact. A detailed independent assessment of its footprint was conducted. Contact us for more details.

Yes we can! Get more information on our solution here.

LatenceTech’s solution addresses the growing need for stable, low-latency connectivity in various industries and applications. Many new innovations, such as teleoperated vehicles, industrial robotics, and connected medical devices, require consistently low and predictable network latency to function effectively and safely. Variations in latency can render these services and equipment unusable, inefficient, or even dangerous. LatenceTech provides tools to monitor, predict, and optimize network performance, ensuring that these time-critical applications can operate reliably.

Traditional network monitoring often relies on passive methods, analyzing logs and counters from network devices. LatenceTech’s approach combines both passive and active monitoring, using “QoS Agents” to send test packets through the network to simulate real-world application behavior and measure latency, throughput, and other quality metrics. These active measurements provide real-time end-to-end visibility and can detect issues before they impact users. Additionally, the solution employs AI and GenAI to analyze data, predict future latency levels, diagnose issues, and provide actionable recommendations, going beyond the capabilities of typical network monitoring systems.

Several factors contribute to LatenceTech’s unique position in the market: AI-powered analytics: LatenceTech is vendor-neutral, offering advanced AI-driven analytics, anomaly detection, and predictive capabilities. Real-time monitoring: The system delivers real-time, end-to-end observability of network performance, enabling proactive identification and resolution of issues. Multi-protocol support: LatenceTech supports a wide variety of IP and industrial protocols, ensuring comprehensive coverage of different network and application environments. Low network impact: The solution is designed to minimize network impact while performing active measurements, using low data volumes, and efficient algorithms, like the LIFBE for throughput. Flexible Deployment: The 100% software based containerized solutions can be deployed on cloud, on premises, on virtual machines or even embedded directly onto network devices or CPEs Patent pending technology: LatenceTech has patented innovations in latency measurement and prediction, providing a technological edge.

The solution is used to measure the quality of service (QoS) for various applications including new network infrastructure deployments, teleoperation, telemedicine, autonomous vehicles, industrial automation, and other time-critical services. It also supports private network deployments.

Industries that can benefit from the LatenceTech solution include mobile operators, telecom vendors, advanced industries such as mining and manufacturing, the transportation sector, utilities and other sectors that rely on low-latency and stable connectivity.

Mobile operators can use LatenceTech to monitor their network quality, offer premium 5G plans with guaranteed latency, and support private network deployments for their B2B customers.

The solution provides end-to-end observability of connectivity performance in private networks and helps to maintain service level agreements (SLAs). It helps industrials test and verify their network quality before putting in place new automation projects.

LatenceTech can help to maintain safety, support automation and innovation in connected vehicles by providing real-time predictions of low latency connectivity.

The solution is based on software containers and can be deployed on virtual machines, edge nodes, and various devices. It can be deployed on premises or on the cloud.

Our Enterprise solution is easy to install and deploy thanks to our Docker containers and can be operational within a few hours. Our team of network experts can help you plan and find the best measurements to take based on your network architecture. The Web application is simpler to install and can be up and running in a few minutes. You can preselect your reflector from a list provided in your account and install an agent on your PC to run a first test. The mobile app can be tested right away ! Visit our Mobile App page to learn more and try it for free.

LIFBE is a low intrusive, fast bandwidth estimation technique co-developed with Orange that uses 5-10 times less data and is less invasive on the network when estimating bandwidth.

The data consumption is low, with an average of 50Mb per day for latency measurements per QoS Agent.

The solution supports multiple protocols including TCP, UDP, HTTP/S, ICMP, TWAMP, Traceroute, and Iperf3. Industrial protocols like MQTT, Scada, Modbus, and Profinet are also supported.

The solution can be deployed on various platforms including AWS, GCP, Azure, and OVH virtual machines; mini-PCs with Ubuntu; laptops with Windows 11, and Cradlepoint CPEs.

Yes, the solution includes open APIs to export data and integrate with other management systems.

The mobile app can be used to perform spot checks of latency, create heat maps, compare the performance of different network types, and visualize changes in network latency over time.

Yes, LatenceTech has a mobile app available on both iOS and Android, which can be used to perform latency spot checks and generate heatmaps.

The solution offers customizable, real-time dashboards built using Grafana, with different KPIs and metrics. It also generates latency heatmaps to visualize connectivity weak spots.

Yes, using GenAI, LatenceTech provides diagnostics and recommendations to resolve latency and other network issues.

Yes, the solution includes AI-based predictive analytics that can forecast latency levels and trigger alarms if the predicted latency exceeds certain thresholds.

The solution supports a variety of wireless networks, including public and private 5G, 4G/LTE, Wi-Fi, and satellite networks. It also supports wired industrial networks.

LatenceTech employs a “Low Intrusive Fast Bandwidth Estimation” method (LIFBE), which is less invasive than traditional throughput measurement techniques that try to saturate the network. LIFBE uses 5x to 10x less data per estimate, is faster to execute, and allows for more frequent measurements, without impacting latency. This approach is important because it allows frequent monitoring of throughput without affecting other network characteristics, such as latency, and doesn’t add unnecessary congestion to the network or interfere with other users.

Active monitoring involves sending test packets into the network to simulate traffic and measure its behavior, providing detailed real-time data. It is invasive, and can cause network congestion, but gives detailed visibility and can provide more predictive insights. Passive monitoring involves observing existing network traffic without interfering with it, providing a holistic, longer-term view of network performance. Passive monitoring is less invasive and produces fewer false positives, but its real time capabilities are limited. LatenceTech uses active monitoring.

LatenceTech’s solution helps mobile operators and other businesses in the following ways: Maintain network quality: Provides real-time observability of end-to-end network and application latency, ensuring network continuity and stability. Offer premium services: Enables the creation of “Premium 5G” plans with guaranteed latency levels, supported by active monitoring and generates new revenue streams. Manage Private Networks: Provides comprehensive monitoring for Private Cellular Networks, ensuring the reliability of connectivity for critical industrial applications. Improve customer experience: Offers tools to diagnose and address latency issues, enhancing the user experience of time-sensitive applications. Support automation: Contributes to network automation by using real-time latency insights to optimize energy consumption and perform self-healing functions. Support regulatory compliance: Enables operators to maintain customer contractual commitments and be prepared for future regulatory demands.

LatenceTech provides real-time measurements and analysis of various key performance indicators (KPIs), including: Round-trip latency (in milliseconds): The time it takes for a packet to travel from source to destination and back, measured using multiple protocols. Latency volatility : The degree of variation in latency over time. Network stability : A measure of the consistency of network performance. Packet loss : The percentage of data packets that fail to reach their destination. Throughput (in Mbps): The amount of data that can be transmitted through the network in a given time, using both intrusive and non-intrusive methods. Network path: Allows to show a graphical representation of the path taken by data to reach the target destination Real-time anomaly detection: AI powered system that identifies abnormal network events with immediate alerts. Short-term latency forecasts: Provides predictions of latency for the next 2 minutes, allowing for proactive issue resolution.

The LatenceTech solution comprises three main components: QoS Agent: This component actively sends test packets across the network using various protocols (e.g., ICMP, TCP/UDP, HTTP/S, TWAMP) to measure network performance. It can be deployed on various devices including mobile phones, modems, CPEs and virtual machines. Reflector: This component acts as the target for the QoS Agent’s test packets, responding to measurements and allowing round-trip latency to be calculated. It’s deployed on infrastructure such as virtual machines, CPEs or edge devices Analyzer: This component is the real-time data analytics platform. It receives data from the QoS Agents, processes it using AI/ML algorithms, provides real-time dashboards, alerts, forecasts latency, performs diagnostics, and provides recommendations. It’s usually deployed on premise or on a cloud infrastructure