TeamViewer launches DEX Essentials for smaller businesses
DEX platforms have typically been designed for the requirements of large enterprises managing thousands of employees and devices.
With DEX Essentials, TeamViewer plans to expand these capabilities to its broader customer base, delivering an out-of-the-box solution that aims to help IT teams manage and optimise digital workplaces at any scale.
Mei Dent, Chief Product and Technology Officer at TeamViewer, said, "A smooth digital experience is fundamental to how people work today — but it shouldn't be exclusive to the largest enterprises.
With TeamViewer DEX Essentials, we're putting real-time visibility, automated remediation, and smart insights into the hands of every IT team. It's a major step forward in our vision to make superior workplace technology seamless and accessible for all. The product is currently available through an early access program and will become commercially available later this month."
"Early feedback from customers has been very promising and shows that the combination of remote connectivity and DEX technology truly resonates, helping IT teams make operations more seamless and efficient."
According to TeamViewer, DEX Essentials provides IT teams with several new tools. These include preventing downtime by resolving performance, application, operating system, and network issues before users are affected; automating routine fixes to help reduce ticket volumes and allow IT staff to focus on strategic projects; ensuring stability and security across devices without causing disruptions to productivity; and gaining actionable insights intended to improve compliance, user experience, and system health.
The launch of DEX Essentials follows TeamViewer's acquisition of 1E and is seen as a development in extending its DEX portfolio beyond the enterprise sector. The company stated that the new offer is seamlessly integrated into the TeamViewer remote connectivity platform, utilising technology from 1E in a format tailored for smaller IT environments.
TeamViewer DEX Essentials is packaged as an add-on for customers already using TeamViewer Remote and Tensor, aiming to deliver these additional management features through familiar interfaces.
The early access programme has already generated feedback, which TeamViewer highlighted as positive, with customers noting benefits from the integration of remote connectivity and DEX capabilities to improve operational efficiency.
Founded in 2005, TeamViewer initially developed remote access software and has since been adopted by hundreds of millions of users globally for remote support and connectivity.
TeamViewer's broader range of solutions is utilised by over 660,000 customers across industries to support desk-based staff and frontline workers.
Its platforms are used for preventing and resolving disruptions, managing complex IT and industrial device setups, and deploying augmented reality workflows and assistance. The company's offerings are positioned against challenges such as skills shortages, hybrid work, rapid data analysis, and the implementation of new technologies.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Techday NZ
09-07-2025
- Techday NZ
Mercedes-AMG PETRONAS F1 Team boosts remote simulator control
TeamViewer Tensor is being utilised by the Mercedes-AMG PETRONAS Formula 1 Team to support the management of its driver-in-loop simulator operations, aiding the team in enhancing its car setups remotely and securely. The driver-in-loop simulator plays a crucial role for the team's racing preparations, enabling drivers George Russell and Kimi Antonelli to test various car configurations for each circuit. Notably, Antonelli, as a rookie, relies heavily on the simulator to acclimatise to new tracks. The simulator is also used intensively by the team's reserve and simulator drivers, especially throughout race weekends, for rapid problem-solving in cooperation with engineers and trackside staff. With team members and engineers often travelling across different time zones and continents, TeamViewer Tensor allows key personnel to access and manage simulator devices remotely, even when away from the team's base in Brackley, England. This capability enhances operational flexibility and maximises the simulator's use. Remote access efficiencies Christian Damm, Simulator Development Engineer for the team, highlighted the importance of security and reliability in these processes. Not only are the simulators a sensitive area, they're also very secretive. We need to be able to trust that the data security is in place. With TeamViewer, we can have that peace of mind. The work in the simulator has an impact on the track so being able to push boundaries and enhance performance is a win for my team. Damm also explained that TeamViewer Tensor's dynamic remoting functionality permits several users to connect to one machine, allowing the collaborative resolution of technical problems. He added that he is able to replicate his usual multi-screen desk setup remotely via his laptop, maintaining workflow no matter where he is located. The scalability of TeamViewer Tensor enables the straightforward addition or removal of users and devices, which Damm noted helps reduce the time associated with managing access and securing new resources. He also commented on the improvement in display resolution compared to previous remote management tools the team had deployed. According to Damm, Tensor offers a much higher bit rate and customisable colour settings, avoiding issues with screen stuttering or freezing and thereby ensuring simulator sessions are not interrupted by technical difficulties. Technical decisions and resource allocation In Formula 1, access to timely and relevant data can have a direct influence on performance during a race weekend. Steven Riley, Head of IT Operation and Service Management at Mercedes-AMG PETRONAS F1 Team, explained the broader context of deploying TeamViewer Tensor throughout the team's digital operations. On the track, every second counts - so we need to ensure our technology implementations can keep up to ensure drivers and team members can access all the data they need in real time to make those split-second decisions to get us over the finish line. We use TeamViewer across our digital workplaces, whether the office, the factory or at track, so when Christian approached us about new technology for the simulation, Tensor was the obvious choice. Due to the cost cap all our technology deployments have to deliver value. It is always a balancing act where technology spend will make more of an impact than putting the money elsewhere in the team. Mercedes-AMG PETRONAS F1 Team deploys TeamViewer technology across its offices, factory, and at-track environments, ensuring all team members and engineers are able to make use of synchronised, secure digital workflows at any location. Riley noted that with the cost cap limiting technology investment in Formula 1, each deployment must be justified based on its potential value to the team's performance. TeamViewer Tensor's integration allows simulator teams to react to real-time problems, update car configurations, and contribute to on-track decisions without the requirement for engineers to be present at the main factory site. This, according to the team's technical staff, supports a continuous flow of data and operational feedback essential to the racing programme.
Techday NZ
03-07-2025
- Techday NZ
TeamViewer launches AI-powered tools to boost IT support speed
TeamViewer has introduced TeamViewer Intelligence, a suite of AI-powered features aimed at improving IT support workflows with real-time automation, actionable insights, and in-session assistance. The latest offering in the portfolio, TeamViewer CoPilot, works alongside established capabilities like Session Insights and Analytics, providing IT professionals with tools to reduce manual intervention, resolve support issues more quickly, and manage helpdesk activities more efficiently. This is designed for a broad range of operational environments, including service desks and distributed IT endpoints. Mei Dent, Chief Product & Technology Officer at TeamViewer, said, "With TeamViewer Intelligence, we're embedding AI directly into support workflows, so teams don't need to switch tools or break focus to get help. Whether it's resolving a ticket or managing large-scale IT environments, we're enabling faster decisions and more scalable operations through intelligent assistance." TeamViewer CoPilot serves as a contextual AI assistant integrated within remote support sessions. IT support agents are able to communicate with CoPilot through real-time chat, allowing access to device data and diagnostics, the generation of resolution workflows, as well as automation of routine duties, such as opening Task Manager or pulling system logs. The feature is crafted to streamline the troubleshooting process, particularly in environments with a high volume of service requests, turning repetitive tasks into swift, scalable operations. Session Insights & Analytics is intended to give IT leaders an aggregated, comprehensive view of their support operations. It combines automated documentation with actionable intelligence, automatically summarising each support session – including smart tags and detailed, step-by-step records of issue resolution. This allows for quicker knowledge transfer between support staff, simplified review processes, and more consistent team-wide knowledge sharing. Built-in dashboards provide clear metrics, covering factors such as issue types, resolution times, support session volume, and workload distribution. The goal is to give IT managers visibility that enables identification of recurring issues, improvement of service delivery quality, and optimisation of team performance over time. "With TeamViewer Intelligence, we're embedding AI directly into support workflows, so teams don't need to switch tools or break focus to get help," said Mei Dent, Chief Product & Technology Officer at TeamViewer. "Whether it's resolving a ticket or managing large-scale IT environments, we're enabling faster decisions and more scalable operations through intelligent assistance." TeamViewer Intelligence features are available as add-ons for customers using TeamViewer's Corporate and Tensor licences. These tools are supported in TeamViewer's latest user interface, ensuring seamless integration with existing workflows. Broader applications Beyond core IT support functions, TeamViewer is also expanding its use of AI into field operations. The Assist AR platform, designed for service technicians and deskless employees, includes an AI-powered session summary feature for remote video assistance calls. This tool automatically transcribes and records major outcomes from assistance sessions, helping field teams document their work efficiently and maintain compliance requirements, all without slowing down their operational pace. TeamViewer's broader strategy reflects continuing demand for enhanced digital workplace solutions as organisations face global trends such as skilled labour shortages, increased hybrid work, faster data analysis needs, and the adoption of emerging technologies. The company reports that its offerings assist organisations by boosting productivity, reducing machine downtime, accelerating onboarding of new staff, and improving both customer and employee satisfaction. Headquartered in Göppingen, Germany, TeamViewer employs more than 1,800 people worldwide. In 2024, the company reported revenue of approximately EUR €671 million. TeamViewer serves over 660,000 customers globally, spanning small businesses through to major enterprises, supporting both office-based and frontline staff.
Techday NZ
19-06-2025
- Techday NZ
Businesses embrace AI but lack training & infrastructure for growth
A recent global survey by TeamViewer has found that while small and mid-sized businesses (SMBs) are adopting artificial intelligence (AI) at a rapid pace, their overall maturity in using the technology remains limited, with a particular need for better training and infrastructure. The survey drew responses from 1,400 business leaders worldwide, including 200 based in Australia, and highlighted both the promise and persistent challenges of AI adoption for smaller organisations. The majority of SMB decision makers—95%—acknowledge they need additional training to use AI effectively, despite 72% describing themselves as AI experts. Productivity and insight Australian business leaders reported notable benefits: 33% said increased efficiency and productivity were the main advantages, and a further 28% cited improved insights into processes and performance. However, challenges remain substantial. Respondents identified the lack of education on using AI, perceived security or legal risks, and high implementation costs as their three key concerns. The Australian findings also showed that 70% of business leaders see AI as critical to business innovation and growth, with 67% specifically concerned about the security risks related to data management and 74% stating they use AI cautiously with security measures in place. Additionally, 59% believe AI will have a positive impact on their revenue growth in the coming year provided it can be scaled effectively, while 68% expect AI will drive the most significant productivity increase in a century. Adoption is common, but depth lags The survey found that 86% of SMB leaders globally are comfortable with AI tools being used by employees outside of IT. Yet, regular use remains limited; only one third of SMB respondents use AI daily, and just 16% do so weekly. Despite this, 35% of SMB leaders describe their use of AI as "very mature", compared to just 22% among larger enterprises. Failure to embrace automation through AI is viewed as a tangible risk. For 28% of SMB respondents, increased operational costs resulting from missed automation opportunities are the biggest consequence of inaction. In comparison, larger loss of competitive edge is a greater concern elsewhere, cited by 26% of the wider business community. Security and training Despite optimism about AI's potential—72% of SMB leaders globally expect AI to generate the greatest productivity boom of the century and 76% say it is essential to business performance—skills and security gaps persist. More than one third (38%) say insufficient AI training is a significant hurdle, with 74% expressing concern about data management risks and 65% only using AI in tightly controlled security environments. Furthermore, 77% would not risk a week's salary on their business's ability to manage risks such as unauthorised AI tool usage. Infrastructure and investment Infrastructure readiness is also a major issue. Nearly half (47%) of SMB decision makers say their current systems are insufficient to scale AI as swiftly as they would like. Still, signs of further investment are apparent: 75% of SMBs plan to increase their AI investment in the next 12 months, with the same proportion expecting to ramp up spending within six to twelve months. This suggests a move from initial experimentation towards more advanced implementations. Focus on practical tools TeamViewer has introduced TeamViewer Intelligence, featuring session insights and analytics, alongside its digital assistant, TeamViewer CoPilot, which is designed to help IT teams improve efficiency during support sessions. This tool aims to enable agents to stay focused, automate tasks, and receive real-time guidance without switching applications. "SMBs are clearly motivated to embrace AI, but many are still searching for the right way to turn early adoption into lasting impact," said Artus Rupalla, Director of Product Management at TeamViewer. "The key isn't just more tools, but smarter integration – solutions that bring automation, insight, and consistency into everyday operations. This research confirms what we're seeing across our customer base: SMBs want AI that solves real problems, not just theoretical ones. With practical tools like TeamViewer Intelligence, we can help these businesses move from experimentation to execution and drive real performance gains." The TeamViewer survey report focuses on respondents from businesses with 200–999 employees, and its findings underline the continued challenges faced by SMBs striving to keep pace with AI developments while addressing skills and infrastructure limitations.
