TECHNOLOGY
5 Leading Remote Support Software Options MSPs Are Using in 2026
Managed service provider business is such that it can accommodate many clients (even from different industries, devices and security requirements) at the same time. Each operational decision an MSP makes around its toolstack has a material impact on how consistently and reliably it can carry out services at scale. Remote support software is near the center of that tool stack; it represents literally the connection between technician and client device, and finding the right remote desktop solution can mean success or failure for an MSP in terms of efficiency, profitability, and ultimately client satisfaction.
Here are five platforms everyday MSPs will be leveraging in 2026 – and what makes each unique to this particular space.
Splashtop
Splashtop has invested deliberately in features that address MSP-specific workflows rather than simply adapting a business remote support product for MSP use. For MSPs evaluating remote support software used by MSPs, the platform’s pricing model is one of the first things that stands out: licensing is based on concurrent technician sessions rather than per-device fees, which aligns with how MSP technicians actually work across multiple client environments throughout the day. Unlimited managed endpoints above a baseline threshold also means MSPs are not penalized as their client base scales.
The platform addresses attended and unattended access on Windows, Mac, Linux, iOS, and Android – a cross-platform reach that is important for MSPs whose clients do not standardize on a single operating system. Some session tools are file transfer, in-session chat, voice call, session recording (file is generated), remote printing and background system access via task manager and registry editor. PSA and ticketing integrations provide the ability to start a session right from within open tickets, keeping the support workflow connected with no gaps in an audit trail.
This is particularly useful for managed service professionals (MSPs) managing multiple client organizations, as a grouping of technicians can be established by client through Granular role-based access controls so that a technician authorized to access one client’s environment is not provided the same level of access to another’s. This structure is especially vital where the MSP operates under stringent contractual or compliance obligations with specific clients.
ConnectWise ScreenConnect
ScreenConnect has been one of the most well-known names in the MSP space for years, and it’s easy to see why. Designed from the ground up for service providers, its concurrent session licensing with white-label branding is coupled with deep integration into the ConnectWise PSA and RMM ecosystem that makes it a no-brainer for MSPs already standard on that platform.
If a managed service provider (MSP) has multiple support interactions at once, ScreenConnect’s ability to accommodate multiple simultaneous sessions effectively but without raising their cost per technician, is a significant factor. Importantly, the white-label feature of the support tool is especially useful for MSPs that are building a client-facing support portal and want your clients to experience an uninterrupted brand journey as they interact through the support tool avoiding having someone reach out from a third-party vendor.
For organizations already in the ConnectWise ecosystem, integration story for the platform is pretty good. With ConnectWise Manage for ticketing paired up with ConnectWise Automate to support RMM, MSPs have access to a level of workflow integration that feels natural. Anyone outside that ecosystem can still successfully utilize ScreenConnect, but some of the platform’s greatest value is interlinked to other tools within those same circles.
NinjaOne Remote
NinjaOne Remote is the remote support piece embedded within NinjaOne’s all-in-one RMM & endpoint management platform, and was conceived with the belief that unified and centralized remote access and endpoint management will create a brand new model of simplified IT. This integration is appealing for those MSPs whose core operating model revolves around forward-looking monitoring and management as well as reactive support.
With NinjaOne, when a monitoring alert fires, technicians can transition from the alert to a live remote session to the impacted device as part of one continuous workflow without leaving the platform at any point. Along with the remote session which reduces time between identifying and resolving issues you get device health information, patch status, installed software, event logs and recent alerts. NinjaOne Remote – For MSPs who focus heavily on proactive monitoring as a differentiator, NinjaOne Remote is more of an operational platform as opposed to just a remote support tool.
For the MSPs, it comes down to whether they want to buy into NinjaOne’s broader stack or if they’re looking at remote support in a vacuum. The remote access feature is most effective when used in conjunction with the NinjaOne ecosystem for MSPs not already using NinjaOne for RMM and management, the full platform investment versus per tool alternatives should be evaluated.
Industry analysis of the MSP business model evolution traces how the shift from reactive break-fix support to proactive managed services was itself enabled by the emergence of remote management and monitoring tools that allowed MSPs to deliver one-to-many IT support at scale for the first time. That same dynamic continues to drive tool selection decisions today: MSPs that can deliver more proactive value per technician have a structural efficiency advantage, and the tools that best support that model are increasingly those that unify remote access with endpoint intelligence rather than treating them as separate functions.
Atera
Atera is an all-in-one MSP platform that combines RMM, PSA and remote support bundled in one subscription, no per-device prices, something rather attractive for smaller and mid-sized MSPs driving towards the double or triple digits of clients alongside predictable toolstack costs as they grow. This means that the remote support capability is integrated with the platform along with ticketing, monitoring, and patch management; technicians can launch remote sessions directly via open tickets in a single pane of glass without any external tool.
Instead of charging on a per-device or per-endpoint basis, the platform is priced per technician making new client devices not an additive cost in terms of toolstack ownership for the MSP. This is an important win for MSPs who are growing their managed endpoints and want to know their costs upfront. It has remote access for Windows, the Mac and Linux environments, as well as session tools capable of supporting the standard MSP-based needs of file transfer and unattended access.
Atera’s customer base appears to largely consist of low-end mid-market MSPs and internal IT, and some features are less mature than dedicated functionality found in higher-end solutions with multi-client workflows and advanced PSA integration. However, for growth mode MSPs seeking to streamline their toolset and manage costs, Atera’s all-in platform should be on your radar.
TsPlus
For MSP operations that occasionally need to support legacy Windows application delivery for a client, TsPlus fills a narrow but specific niche. It provides both cloud and on-premises deployment, session-based access, file transfer and two-factor authentication, marketed as a lower-cost alternative for organizations that need to keep older Windows applications accessible remotely without rebuilding them as web or SaaS tools.
TsPlus is not a general-purpose remote support tool in the way the rest of this list is, so most MSPs won’t adopt it as their primary platform. Its relevance depends entirely on whether a client’s environment includes the kind of legacy Windows application delivery challenge TsPlus is built to solve, making it more of a case-by-case addition than a default choice.
Frequently Asked Questions
Which features are most essential when MSPs select remote support software?
MSPs are different; they have needs that internal IT teams do not. Multi-client management, which allows for the organization and access to multiple client environments from a single console is an essential requirement. For MSP economics, it matters that the licensing of concurrent sessions doesn’t drive costs up with endpoint numbers. 3 – Branding: Most MSPs will want the ability to white-label branding so all services look like they come from them. A PSA with ticketing capabilities will preserve and connect the details of each session to a work order related to the client in this case, to the applicable work ticket. And cross-platform device support Windows, Mac, Linux, iOS, Android promises to ensure a presence in the mixed-device environments most MSP clients exist within.
How can MSPs determine the security posture of a remote support vendor?
Every time an MSP adds their selected remote support tool into the environments of every client for whom they manage devices, then the vendor’s own security practices become an element in the risk profile for every engagement with that client. MSPs were advised to evaluate the encryption standards, authentication options, session logging practices, compliance certifications and vulnerability disclosure track record of a vendor. Also, when it comes to MSPs working for clients in regulated industries healthcare, finance or legal make sure the vendor’s approach supports the data handling requirements of any compliance framework for which that client is held liable as an MSP ultimately holds responsibility for tools put into use within a client environment.
Should I choose a dedicated remote support tool or an all-in-one MSP platform?
It certainly depends upon the size, growth stage, and toolstack of your MSP. MSPs who have invested in purpose-built RMM and PSA tools might prefer a standalone remote support platform that integrates with those existing systems, allowing for the best of each specialized tool. An all-in-one platform could trim operational cost and complexity for those MSPs building their toolstack from scratch or looking to simplify and consolidate, especially in the early years of growth, with built-in remote support, RMM (Remote Monitoring Management), and PSA features. Often, as MSPs grow, they find specialized tools need to trade flexibility for the simplicity of an integrated suite but deep integrations can take time and money.
AI used to feel like something that lived inside screens. People saw it in phones, apps, search tools, smart speakers, and recommendation systems. Now it is moving into the physical home.
That shift matters. A smart home device is no longer just a machine that turns on when you press a button. The next generation of home technology can sense its environment, make small decisions, adjust its behavior, and reduce repetitive work. Robot vacuums, lawn tools, cameras, kitchen appliances, and pool robots all show the same trend: AI is moving from digital convenience into real world automation.
Pool cleaning is a useful example because it happens in a messy, changing environment. A pool is not a flat floor. It has water movement, steps, slopes, walls, waterlines, leaves, pollen, bugs, sand, toys, sunlight, and weather. If AI can help a device work there, it says a lot about where everyday home automation is going.
AI Is Moving From Screens Into Home Devices
The first wave of smart home technology was mostly about control. A user could turn lights on from an app, ask a speaker for the weather, or schedule a thermostat. That was useful, but it was still simple command based automation.
Modern AI devices are different. They are expected to understand more of the environment around them. A camera detects motion. A robot vacuum maps rooms. A smart oven adjusts cooking settings. A pool robot reads surfaces, moves through water, and adapts its cleaning path.
The goal is not to make homes feel more complicated. The goal is to reduce repetitive decisions. A good smart device should quietly help the user spend less time managing a task.
Why Pool Robots Are a Strong AI Case Study
Pools are unpredictable. Their shape, depth, surface area, steps, and debris patterns vary from one home to another. Wind may push leaves to one side. Sand may settle near steps. Pollen may collect on the surface. Sunscreen and body oils may affect the waterline.
That is why pool robots are more than a simple cleaning category. They show how AI can support physical work in a space that changes every day.
Success is also easy to see. The user can look at the water surface, pool floor, walls, and waterline and know whether the cleaning worked. That makes pool robots a practical example of AI automation because the results are visible, not abstract.
From Basic Automation to Smart Automation
Basic automation follows a fixed instruction. It runs at a set time, moves in a simple pattern, or repeats the same action until the job is done.
Smart automation goes further. It senses, maps, adjusts, and responds. The important question is not only whether a device moves on its own. The better question is whether it can understand the pool well enough to reduce missed areas, wasted movement, and repeated manual cleanup.
This is the difference between a gadget and a useful home system. A gadget adds novelty. A smart system removes friction.
In pool care, that friction often shows up as repeated skimming, vacuuming, brushing, emptying, and checking. AI becomes valuable when it reduces those small loops without asking the homeowner to manage more settings.
How AI Changes Pool Cleaning
AI changes pool cleaning in several practical ways.
First, perception improves. Cameras, sensors, and software can help a cleaner understand pool shape, surfaces, obstacles, and debris patterns. That matters because a pool robot has to work in water, where movement is harder than on a dry floor.
Second, mapping improves. A cleaner that can plan better routes may reduce random movement and missed zones. This is especially useful in larger pools, freeform pools, pools with ledges, and pools with long waterlines.
For buyers comparing robotic pool cleaners, this is where AI starts to matter. The value is not just that the machine moves without being pushed. The value is whether smarter perception and route behavior help the cleaner work with the pool’s actual shape, debris pattern, and surface conditions.
Third, cleaning becomes more adaptive. Instead of treating every area the same, smarter systems can respond to different cleaning needs. Surface debris, floor sediment, wall residue, and waterline buildup are not the same problem.
Fourth, maintenance becomes part of the ecosystem. The future of home AI is not only about cleaning the space. It is also about reducing what the user has to do after the device finishes.
Where Beatbot AquaSense X Shows the Direction of Home AI
Beatbot AquaSense X is a strong example of where everyday AI devices are heading because it is not positioned as a basic underwater vacuum. It reflects a broader shift toward connected home robotics: AI assisted perception, multi surface cleaning, smarter route behavior, and easier post cleaning maintenance all working together as part of one pool care routine.
For a tech minded homeowner, the key lesson is not simply that AquaSense X uses AI. The more important point is how AI is being used. A pool is a demanding physical environment, so the robot has to deal with the water surface, floor, walls, waterline, debris movement, and changing outdoor conditions. A traditional cleaner may focus mainly on movement and suction. AquaSense X points toward a more advanced model, where the device can support smarter coverage, reduce missed areas, and lower the amount of repeated manual cleaning after a busy weekend or windy day.
For someone evaluating this kind of pool automation, AquaSense X also shows why the category is becoming part of the wider smart home conversation. It is not only about cleaning debris. It is about automation that fits into a connected lifestyle, from app based operation to easier maintenance routines. Still, it has limits. AquaSense X cannot replace chlorine, pH, or alkalinity testing. It cannot replace the main filtration system, adult supervision, pool safety rules, large debris removal, or professional repair.
What Pool Robots Teach Us About the Future of Home AI
The biggest lesson is that future home AI will be physical, not just conversational. People will still use AI in apps and assistants, but some of the most useful AI will be inside devices that move, sense, clean, monitor, and maintain real spaces.
That changes what consumers should expect. A smart device should not only have an app. It should solve a real problem more reliably than older tools. It should fit into daily routines. It should reduce time, effort, and uncertainty.
Pool robots make this clear because the task is practical. Nobody buys one just to admire the technology. They want the pool to look better with less effort. That is where AI becomes useful: when it turns a messy chore into a routine that is easier to keep up with.
What AI Home Devices Still Cannot Replace
Smart automation has limits. AI cannot replace human judgment in safety critical situations. A pool robot cannot supervise children, enforce pool rules, test sanitizer, balance chemistry, or repair damaged equipment.
AI devices also need care. Sensors can be blocked. Apps need updates. Baskets or filters need cleaning. Charging systems need proper use. Software support and repairability matter because smart devices are long term household tools, not disposable toys.
Users should judge AI devices by real outcomes, not marketing language. Does the device save time? Does it reduce repeated tasks? Is it easy to maintain? Does it make the home simpler?
Smart Automation Should Make Home Life Easier
The best AI home devices do not make the house feel like a lab. They make ordinary life easier. They handle repetitive, messy, and time consuming tasks so people can focus on living.
Robotic pool cleaning is a clear example. It takes AI out of the abstract world of apps and places it in a real backyard, where the result is visible: cleaner surfaces, fewer missed spots, less manual effort, and a routine that is easier to repeat.
That is the future of everyday home AI. It will be practical, adaptive, and quietly useful.
The Impact of AI on Search Engines
The advent of artificial intelligence is dramatically reshaping the landscape of digital marketing. Nowhere is this more evident than in how search engines process and rank online content. Google’s recent introduction of AI Overviews is shifting the user experience by delivering direct answers directly on the search results page. Because fewer users are clicking through to websites, digital marketing professionals must recalibrate their SEO approach to maintain online visibility.
Staying ahead of these changes requires a focus on the nuanced relationships among links, content, and the authority signals recognized by AI. Marketers who want their web pages to rank in AI Overviews should understand the factors driving prominence in AI-generated summaries. Vazoola, a leading authority in digital outreach and link-building strategies, offers comprehensive guides and insights on this topic. Their resources highlight best practices for adapting to AI-powered search and explain how brands can enhance their prominence in AI Overviews. Vazoola specializes in white-hat link building, providing tailored solutions for businesses seeking to thrive in this evolving landscape. As AI becomes a central feature of search engines, website owners and marketers need to evolve their understanding of ranking factors. Success depends not only on what content is published, but also on how external websites link to and reference those materials. Advanced algorithms now evaluate user intent and context, which increases the importance of relevance and legitimacy in link building. The impact is also spreading beyond just organic results. Brand signals, user behavior, and content credibility are all being assessed more dynamically. This means new opportunities and new challenges for those invested in search visibility and digital growth.
The Evolution of Link Building
Traditionally, link building was a numbers game. Marketers chased high volumes of backlinks, often without much regard for their origin or context. The idea was simple: the more links pointing to a website, the higher its rank would climb in search results. However, as search engines became more sophisticated, sheer quantity has ceased to be a reliable strategy. Modern AI-powered algorithms can now distinguish between authentic recommendations and manipulative link acquisition. This evolution penalizes tactics such as link farming and the excessive use of low-quality directories. Instead, there is a strong preference for links that emerge naturally from relevant, informative content. Search engines ultimately strive to reward websites that offer value to users while building genuine connections across the web.
Quality Over Quantity: The New Norm
In the AI era, quality has decisively overtaken quantity as the defining metric of a winning link profile. It is no longer effective to acquire hundreds of unrelated or low-authority links. Instead, success hinges on earning backlinks from high-authority sites, especially those recognized as leaders in their niche. Recent industry research demonstrates that top-ranking pages often have fewer, but more meaningful, referring domains than competitors occupying lower positions.
Signals of High-Quality Links
- Links from sources that are themselves credible and trusted by search engines.
- Contextual integration of links within relevant content, rather than isolated listings.
- User interaction signals, such as time spent on site and engagement rates.
- Semantic similarity between linking content and the linked page.
As a result, link building now demands a strategic, research-driven approach that targets legitimate publishers and develops mutually beneficial relationships.
Building Brand Credibility and Authority
Trust is the new currency in digital marketing. Brands that are consistently cited as sources of accurate, insightful, and well-researched information are now favored within AI-driven algorithms. The goal should be to cultivate a reputation that both users and search engines recognize as authoritative.
This is achieved through thoughtful content creation, consistent outreach, and engagement with respected entities in one’s industry. Brands that succeed in building these credentials often find their content featured more prominently not only in organic results but also within AI summaries and recommendations.
Effective Link-Building Strategies in the AI Era
- Content Creation: Publishing original, comprehensive resources attracts attention from top publishers, who are more likely to link naturally to valuable content.
- Digital PR: Developing newsworthy stories and collaborating with media outlets can secure mentions and backlinks from reputable sources.
- Guest Blogging: Authentically contributing expert insights to industry blogs establishes broader authority and builds a diverse backlink profile.
- Influencer Collaboration: Strategic partnerships with influential industry voices help expand reach and add social validation to link-building efforts.
Future Trends in Link Building
Looking forward, AI is poised to refine further how search engines evaluate links and content. Semantic analysis will continue to take precedence, focusing on the relevance of topics and the intuitiveness of user experience. Metrics like on-page engagement, brand recognition, and the perceived intent behind links will gain greater significance. As search technology matures, marketers should remain agile in responding to new updates and cultivate relationships that favor editorially earned links over manufactured ones. Investing in these areas today can pay dividends as algorithmic updates demand ever more authenticity and value from publishers.
Conclusion
The age of AI is ushering in a fundamental shift in the practice of link building. Brands that embrace quality, nurture brand authority, and observe ethical outreach practices will be best positioned for lasting search visibility. By adapting to emerging trends and focusing on genuine value, businesses can safeguard their online presence and maximize the benefits of modern search innovations.
In today’s fast-paced work environment, the ability to create efficient, engaging presentations is critical to communication and success. The emergence of smart design tools is changing the way professionals approach presentations, streamlining the creation process and raising the bar on visual appeal and teamwork. Advanced features like intuitive interfaces and integrated artificial intelligence are empowering users regardless of their design experience, making it easier than ever to craft compelling slides. Explore the benefits and transformations offered by today’s AI presentation maker solutions and discover how this technology can elevate your work.
Smart design platforms not only accelerate workflow but also ensure that each presentation is polished and consistent. Teams can collaborate seamlessly and adapt content using professional templates and layouts, saving hours previously wasted on tedious formatting. These advancements are particularly valuable as organizations aim to capture audience attention and communicate ideas more effectively amidst increasing competition for engagement.
Introduction
The history of work presentations is marked by hours spent on formatting, adjusting graphics, and ensuring consistency across slides. With deadlines tightening and expectations rising, traditional presentation creation has often felt like an uphill battle. Smart design tools have emerged to address these obstacles by enabling users to focus on content, while the software handles the technical aspects of design. This shift not only improves productivity but also results in visually appealing, well-organized slides every time.
These technological advancements have democratized high-quality presentation design. More users can now deliver professional, impactful presentations without relying on specialized designers, making quality communication attainable for any team member.
AI Integration in Presentation Design
Artificial intelligence is at the heart of today’s leading presentation software. By analyzing text, images, and overall messaging, AI provides design suggestions to improve slide consistency and clarity. For example, AI can automatically match color schemes to an organization’s brand or recommend layouts that guide the audience’s focus strategically from point to point. This dramatically reduces manual labor and design inconsistencies, enhancing both speed and end results for users from all levels of design expertise. Forbes highlights how AI-driven design is fundamentally transforming creative workflows in business contexts.
Real-Time Collaboration Features
Workplace collaboration is a cornerstone of successful presentations. Modern smart design tools enable team members to contribute to the same presentation simultaneously, regardless of location. This live-editing capability ensures changes are instantly visible to all stakeholders and helps teams avoid duplication of effort. The result is a streamlined workflow in which feedback is immediately actionable, version control is simplified, and alignment across the group is achieved in real-time.
Adaptive Layouts and Templates
Adaptive layouts and templates take the guesswork out of arranging content on slides. These tools automatically adjust text, images, and data visualizations to present information clearly and attractively. The adaptive nature means layouts change depending on content type or length, so users no longer have to manually tinker with font sizes or image placement. High-quality, customizable templates add another layer of professionalism, ensuring that even routine presentations reflect a polished, unified look.
Enhancing Audience Engagement
Captivating an audience is arguably the most important goal of any presentation. With smart design tools, users can easily incorporate animations, transitions, and multimedia assets, transforming static slides into interactive experiences. These engaging features increase retention and make complex concepts more digestible. By leveraging these advancements, presenters are better able to connect with their audience and facilitate lasting understanding, as supported by research from Harvard Business Review on the science of effective presentations.
Case Studies: Success Stories
Real-world cases showcase the measurable benefits of adopting smart design tools. For example, a global consulting firm reported a 40% reduction in the time required to develop client presentations after integrating AI-based solutions. Another organization noted a 25% increase in audience engagement, attributing it to the dynamic multimedia capabilities and seamless collaboration features of its chosen platform. These success stories underscore a common theme: investing in advanced design technology yields tangible business results.
Future Trends in Presentation Design
The future of presentation design is being shaped by emerging technologies. Virtual and augmented reality are set to create immersive narrative experiences, enabling deeper audience engagement through interactive visualizations and environments. Additionally, data analytics capabilities are being built into smart presentation tools, enabling granular customization for different types of audiences. Presenters can soon expect even more hyper-personalization based on real-time feedback, revolutionizing communication in business settings.
Conclusion
Smart design tools are accelerating a new era of presentation creation, an era defined by efficiency, collaboration, and engagement. Embracing these innovations allows professionals across industries to communicate more clearly, work more productively, and achieve greater impact in every meeting or pitch. As technology continues to evolve, the potential for even more ground-breaking advancements in presentation design remains excitingly high.
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