LatenceTech Review: Features, Integrations, and Pricing
The world’s top companies depend on effective network connections for crucial data delivery and optimal performance.
To reduce the stress of low connectivity, LatenceTech offers real-time solutions to your latency issues and allows companies to optimize their end-to-end connectivity to boost productivity and performance.
LatenceTech technology revolutionizes the use of advanced machine learning to monitor, predict, and optimize solutions in the telecom industry. This software lets users fix potential downtime issues before they become full-blown.
This article examines LatenceTech’s key offerings, including its free products and pricing policy, software features, and more.
LatenceTech Overview
LatenceTech was founded in 2020 by Benoit Gendron, a former sales director at Ericsson, to ensure users always have an optimal network connection.
As the world develops, connection to the internet remains a significant aspect of personal lives and business operations. Fluctuations in connection speed are not only noticeable when streaming videos online or playing games; they can also be injurious to companies that require a steady and stable connection for data delivery and optimal performance.
For example, autonomous vehicles operate on a wireless network and require constant feeding of information to remain active and safe for users.
LatenceTech offers real-time monitoring to track, predict, and optimize low latency and highly reliable network connections. LatenceTech comprises experienced leaders in the network technology and AI industry. The software implements AI capabilities to ensure real-time reporting and fast analysis of network latency.
The company is supported by the Canadian government through the IRAP and SR&ED programs, by the Québec government through IVADO and MEI initiatives, and by the City of Montreal through the PME MTL and Startup Montreal programs.
LatenceTech is also an alumnus of several accelerator programs, including Synerleap by ABB, MobilityXLab Sweden, and Google for Startup Accelerator Canada, among others.
- Established: 2020
- Founders: Emmanuel Audousset, Benoit Gendron, Chloe Durand
- Offices: Montréal, Quebec, Canada.
Notable Features
LatenceTech software is made to help network operators and advanced industries scale their business processes and achieve stable connections. The following are key features of the software:
1. Real-time Monitoring
LatenceTech software allows users to monitor, visualize, and predict their network strength in real-time. This gives businesses the opportunity to adopt a data-based solution to areas of concern and improve overall productivity.
This feature also uses real-time active measurements powered by AI to help mobile operators, telecom vendors, and advanced industries to track, predict, and gain the benefits of low latency networks like 5G.
2. Diagnostics and Recommendations
LatenceTech also helps business owners improve their business processes by providing AI-powered analytics with a focus on potential problem areas and recommendations on how to solve them before they become a problem for your business.
Through this feature, LatenceTech aims to redefine performance metrics by emphasizing the quality of network experience over conventional and quantitative data metrics. This will help save time and ensure optimal performance at all times.
3. Built for Public and Private 5G networks
LatenceTech software is designed to be versatile and cater to all network connections. This feature helps users optimize public and private 5G networks, including commercial cellular networks and enterprise-owned networks.
However, this solution is not only limited to 5G networks but also other wireless networks like 4G/LTE, 3G, Wi-Fi, and satellite communications. It also supports wireline solutions, including FTTH, cable broadband, and digital subscriber line (DSL).
4. Cloud-native Analytics platform based on Docker Containers
LatenceTech’s cloud-native analytics provides a flexible, scalable, and highly sophisticated infrastructure for processing and analyzing data. The platform uses Docker containers because they are lightweight, portable, and can support large volumes of data from various networks, thereby allowing users to scale analytics capabilities. This architecture also supports multiple cloud deployments (AWS, Azure, Google Cloud) and also ensures high availability and redundancy with automatic failover and self-healing capabilities.
5. Reliable Predictions
LatenceTech prediction capabilities empower business owners, engineers, and network operators to take proactive steps in reducing the risks of network downtime and ensuring low latency and performance at all times.
The software uses advanced machine learning and AI algorithms to predict network behavior, analyze performance, and identify areas of concern with a high degree of reliability. The platform uses a combination of techniques to make its predictions. Some of these techniques are:
- Historical data analysis
- Real-time data ingestion
- Advanced statistical modeling
- Machine learning techniques
The high level of predictive capability helps institutions optimize their business processes, including resource allocation, troubleshooting, decision-making, and network performance and stability.
LatenceTech Integrations
LatenceTech software can be integrated with various software and network management tools using the free APIs provided by the company.
Some systems and software that are compatible with LatenceTech API include:
- Network Management Systems (NMS): Network management platforms like CiscoWorks and HP Network Manager enhance network monitoring and management capabilities.
- Element Management Systems (EMS): LatenceTech API can also be used in combination with element platforms like Ericsson, Nokia, Huawei, etc.
- Operational Support Systems (OSS) and Business Support Systems (BSS): Using LatenceTech with OSS and BSS systems like Oracle and IBM will improve service management capabilities and support systems.
- Cloud Platforms: LatenceTech supports cloud platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform. Integrating with these platforms improves the efficiency and scalability of data analysis.
- Machine Learning and AI Tools: Integration with machine learning and AI tools like ChatGPT, PyTorch, TensorFlow, etc enable advanced predictive capabilities and network optimization for a better experience.
Plans and Pricing
LatenceTech offers a flexible pricing system with various subscription plans to cater to users’ needs. Its pricing policy is based on the amount of features you need and is structured for basic and large-scale uses.
Lab | Trial
CA$0.00
The Lab/Trial stage is free for four weeks. After the expiration of the free trial period, users will get the option for an additional three months with a low fee.
Features of the free trial include:
- Components
- 5 QoS Agents
- 1 Reflector
- 1 Mobile Application
- Shared Analyzer
- Real-time Dashboards
- Network Summary
- Latency KPIs
- Detailed Latency
- Bandwidth
- MultiAgent Comparison
- Threshold-based
- Alerting on latency levels and KPIs
- AI Anomaly detection on latency peaks and levels
- Multi-protocol
- ICMP & TWAMP
- TCP & UDP
- HTTP/S/3
- Online Support with access to updates and upgrades
- Online Documentation
Core
CA$500.00
Contains all Lab package items plus:
- Components
- 5 QoS Agents
- 2 Reflector
- 5 Mobile Applications
- 1 Analyzer
- Real-time Dashboard
- Latency Forecasting
- Advanced KPIs
- Latency Heatmaps
- Advanced Rule-based Alerting on latency levels and KPIs
- Diagnostics and Recommendations
- APIs to access data and notifications On-boarding package with system integration and support services
- Responsive support
Enterprise
CA$900.00
Contains Core package items including:
- Components
- 20 QoS Agents
- 5 Reflectors
- 10 Mobile Applications
- Real-time Dashboards
- Customized dashboard to support your low latency use case
- Network View
- Trace Route
- Multi-protocol
- Profinet
- Scada (soon)
- Modbus (soon)
- Advanced and low energy throughput measurements
- Orchestrated deployment tools
- Kubernetes Helm Charts
- OpenShift yaml
- Professional services package with system integration and support services
- Priority Support
Buyer’s Guide
LatenceTech software is a solution to poor network environments, but before buying the program, users should ensure that the specifications meet their needs.
The following are critical considerations before buying LatenceTech software:
- Network size and complexity
Ensure that LatenceTech supports your network size and can suit the complex nature of your business needs.
- Compatibility
Ensure and verify that LatenceTech is compatible with your existing network infrastructure, devices, and systems.
- Scalability
You should consider LatenceTech’s ability to scale your growing network demands and improve efficiency.
- Security
Ensure that LatenceTech products comply with your industry best practices and evaluate its security features vis-a-vis your network and organizational demands.
- Cost and Licensing
Understand the pricing policy, licensing terms and also scrutinize the conditions governing the use of the software. Pay attention to additional or hidden costs.
- Customization
Consider if LatenceTech can be customized to meet your business needs. If your organization has priorities that are not readily available on the dashboard, you should evaluate means of improving or customizing to fit your needs (through integration with other systems, softwares, or services).
- Vendor Reliability
Research LatenceTech reliability and reputation in the industry. Pay close attention to their history of customer satisfaction and the presence of stable support channels.
Frequently Asked Questions
What protocols are you using to monitor latency?
LatenceTech uses ICMP, TWAMP, TCP, UDP, and HTTP/S/3 protocols to measure latency.
How does LatenceTech measure the stability of network latency?
LatenceTech measures the stability of network latency through ongoing monitoring and predictive analysis.
How easy is it to install LatenceTech?
Since LatenceTech is a software and container-based program, it is very quick to deploy and easy to install.
Can I deploy multiple QoS Agents and Reflectors?
Yes, you can deploy multiple QoS agents and reflectors for enhanced monitoring.
How do you measure network and application latency?
LatenceTech measures network and application latency using real-time measurements and AI analytics.
Customer Support
LatenceTech provides easily accessible customer support channels. Users can process their complaints through the following channels:
Email: contact@latencetech.com
Office address: 400 Montfort St. Office M-2330, Montreal (Qc) Canada H3C 4J9
Phone number: +1 438 701-0415
LinkedIn: https://www.linkedin.com/company/latence-technologies/
Conclusion
Compared to other network technologies in the market, LatenceTech not only aims to help you improve your business processes and boost productivity but also aims to redefine approaches to solving latency issues for businesses and individuals. The software has an impeccable user interface, is easy to use, and is relatively cheap compared to alternatives. Visit LatenceTech’s Website for information on how to get their AI-powered low-latency solution.
