Vipe from BCNEXXT aligns your playout operations with your business goals, delivering efficiency, resilience, and agility.
Vipe replaces fixed rules with AI-driven adaptive logic, analyzing content complexity and deploying software and hardware on demand. Its "pay for what you play" model breaks the traditional one-to-one relationship between channels and servers, transforming high fixed infrastructure costs into variable, content-based expenses.
Vipe's architecture ensures minimal resource usage and delivers a highly efficient, cost-effective playout environment, whether on-premises or in the cloud.
With automated quality control, exception-based error reporting, and configurable business rules, Vipe significantly improves channel-to-operator ratios.
A new company focused on innovation, built on a Linux-based, fully containerized modern architecture—free from legacy products!
Simplify and unify: Linear, live, FAST, streaming, and OTT distribution—all from a single content pool.
Highest reliability in the market: 99.9999% uptime, verified by independent analyses.
Increase financial flexibility with our PaaS model, pay as you go plan. Say goodbye Capex. Hello Opex.
Cut costs with Vipe’s "pay for what you play" model, while increasing channel-to-operator ratios. Users report cutting playout costs by over 60%.
From NAB to IBC, there is one topic that has dominated the media technology conversation this year: Artificial Intelligence. AI is being attached to products and demonstrations across the industry, with vendors promising new ways to generate, analyze, automate and optimize almost every part of the media workflow.And yes, there is a lot to be excited about. But amid the AI frenzy, we have lost a bit of focus on what's really important. And that's the problem we are trying to solve.When it comes to playout, we're asking the wrong question. Instead of asking how we can put more Artificial Intelligence into playout, we should be asking how we can make playout itself more intelligent.For BCNEXXT, that means IA: Intelligent Automation.Playout Has an Operational ProblemBroadcast playout has been automated for decades. Schedules are created, media is prepared, rules are applied, and content is transmitted reliably to air. Deterministic automation has done that job extremely well, and it remains fundamental to broadcast operations.What has changed is the environment around it.Today's broadcasters are managing more channels and live services alongside FAST, OTT and streaming. They are dealing with more regional and language variants, more versions of content, increasingly sophisticated advertising requirements, richer metadata and more formats. All of this is happening while media organizations are being asked to operate more efficiently and reduce costs.The result is a contradiction that anyone running a modern broadcast operation will recognize: playout is becoming more complex at the same time that we need to make it simpler to operate.This is where I question whether simply adding AI to an existing playout system gets us very far. The fact that a system can call an AI model doesn't inherently make the operation more intelligent. What matters is whether intelligence is being applied to the decisions and workflows that determine how content is prepared, monitored, and ultimately delivered.From Automation to Intelligent AutomationThis is the thinking behind Vipe.Rather than treating AI as a separate feature or application, Intelligent Automation is built into the playout environment. Vipe can understand the content and metadata associated with media assets, identify patterns and potential issues, automate repetitive processes and provide operators with contextual information that helps them make better and faster decisions.That changes what automation can do.A traditional automated system can execute the playlist it has been given. An intelligent system can also help identify that an asset is missing, that metadata is inconsistent, that an unusual operational condition has occurred or that there is a potential problem in the playlist before it becomes a transmission issue.The distinction is important. We aren't trying to make playout intelligent simply for the sake of saying it uses AI. We're trying to reduce the amount of manual work required to operate increasingly sophisticated services while improving reliability and control.From Monitoring Everything to Managing What MattersOne of the biggest opportunities is to rethink the relationship between the operator and the playout system.As operations become more complex, simply giving people more information isn't particularly helpful. Operators don't need another dashboard filled with data or another stream of alerts they have to investigate. They need the system to understand what is happening well enough to distinguish normal operations from something that actually requires attention.That is the shift from monitoring everything to managing by exception.If a channel is operating normally, the operator shouldn't need to spend time watching it. If something unusual occurs, Vipe can identify the issue, prioritize it and provide the context needed to determine what happens next.This doesn't remove the operator. It makes much better use of them. Experienced broadcast professionals can spend their time dealing with the situations that genuinely require their expertise rather than repeatedly checking processes that are functioning exactly as expected. As broadcasters look to operate more channels and services without simply adding more people, that becomes increasingly important.Intelligence Still Needs BoundariesThere is another reason I think Intelligent Automation is a more useful conversation for playout than generic AI: broadcasters are understandably cautious about giving an AI system unrestricted control over what goes to air.And they should be.Reliability and predictability aren't legacy concepts we need to eliminate from broadcasting. They are fundamental requirements. The opportunity is to add intelligence without sacrificing either.Vipe therefore operates across three complementary layers. Deterministic broadcast control continues to execute critical playout operations reliably. Intelligent Automation analyzes information, identifies issues, makes recommendations and automates appropriate tasks. Human governance ensures that operators and administrators retain control over the decisions that require their judgment.This allows broadcasters to introduce greater autonomy progressively, based on where it makes operational sense, rather than making an all-or-nothing leap into AI-driven playout.Focus on the Outcome, Not the AcronymThe conversation around AI isn't going away, nor should it. But we need to get beyond asking whether a product "has AI" and start asking what that intelligence actually achieves.For playout, the measures that matter are operational. Does it eliminate repetitive work? Identify problems before they become transmission incidents? Help operators focus on what actually requires their attention? Enable teams to manage more channels and greater complexity without sacrificing reliability and control?The goal isn't to automate everything or remove people from the operation. It's to determine what the system can handle intelligently, what can safely happen autonomously, and where human expertise adds the most value.Ultimately, broadcasters don't need AI for the sake of having AI. They need technology that makes increasingly complex playout simpler to run, more efficient to scale and more reliable to operate.The question isn't whether AI belongs in playout. It's what intelligence can actually do for your operation. Discover how Vipe is putting Intelligent Automation to work in playout. Book a demo: info@bcnexxt.com.
BCNEXXT will showcase the latest evolution of Vipe at IBC2026 (Stand 2.B09), introducing a series of innovations designed to deliver higher-quality audience experiences, simplify increasingly complex playout operations, and further improve infrastructure performance and efficiency.“Playout is being asked to do more. Support more formats, more services and more variations of those services all while the pressure to simplify operations and reduce costs continues to increase,” said Graham Sharp, VP of Sales and Marketing at BCNEXXT. “With VIPE, we’re approaching those challenges as interconnected. The innovations we’re bringing to IBC improve what audiences experience, make complex operations easier to manage, and intelligently optimize the infrastructure underneath them.”The new capabilities span three key areas of Vipe innovation: Quality & Audience Experience, Simplifying Operations and Engineered Performance.
The EU has become increasingly dependent on U.S. and Chinese providers for cloud computing and artificial intelligence, prompting concerns around sovereignty and the storage and movement of content within cloud infrastructures.Fears that foreign legislation, such as the U.S. CLOUD Act, could allow non-European governments to access sensitive data have accelerated initiatives to build European-owned infrastructure and led the European Commission to establish its Cloud Sovereignty Framework. The framework evaluates providers across three foundational objectives:Legal & Jurisdictional Sovereignty: Data must be insulated from foreign legal claims, ensuring local courts maintain ultimate jurisdiction.Operational Control: Systems must be independently operated, with administrative and support access remaining within the intended ecosystem.Data & AI Sovereignty: Organizations must retain control over their data assets, preventing unauthorized use and reducing dependency on external providers.While these discussions are particularly prominent in Europe, the underlying concerns are increasingly relevant worldwide. Media companies are asking important questions about who controls their data, where content resides, and how easily they can move operations if business, regulatory, or operational requirements change.Technical ChallengesCloud platforms have delivered tremendous benefits, but they can also create dependencies that are difficult to reverse.Many application vendors have taken advantage of proprietary cloud services such as orchestration, resource management, transcoding, and transport. This accelerates migration to the cloud, but it can also make applications heavily dependent on services that may not exist—or may function differently—on other platforms.The result is that moving an application between cloud providers can become far more complex than originally anticipated.Other software vendors utilize virtual machine-based architectures. While these can improve portability, they often fail to take full advantage of cloud scalability. Because virtual machines are typically always running and require additional software layers, they can be less efficient and more costly to operate.Storage introduces another consideration. Most cloud providers offer robust redundancy by distributing content across multiple servers and regions. This improves resilience but can reduce visibility into where content is physically stored and how redundancy is managed, limiting customer control over data location.Financial ChallengesLock-in is not solely a technical issue.Many cloud pricing models were designed around traditional compute workloads, where large volumes of data are uploaded, processed, and returned as relatively small result files.Media workflows are fundamentally different.Large volumes of content are uploaded, processed, stored, and repeatedly retrieved or distributed. As a result, storage and egress costs become a much larger factor.This creates an asymmetrical pricing challenge. While ingesting content is often inexpensive, storing and retrieving it can become costly. For media organizations, these costs can create a significant barrier to moving operations between providers.In discussions with one major cloud vendor, the response was straightforward: media represents only a small percentage of their overall business, and there is little incentive to redesign pricing structures around media-specific requirements.The Independence ChecklistMaintaining data sovereignty requires careful planning and technology choices.1. Retain Portability of Applications and DataEnsure the applications you deploy can operate across alternative cloud providers and on-premises infrastructure. This generally means avoiding dependencies on proprietary cloud services and selecting applications designed for hybrid and multi-environment deployment.2. Maintain Control Over Data LocationOrganizations should be able to choose where content is stored, particularly in redundant or disaster recovery scenarios. Look for applications that manage redundancy independently rather than relying entirely on proprietary cloud storage architectures.3. Avoid Financial Lock-InContractual obligations are easy to identify, but pricing structures can create less obvious forms of dependency. Pay particular attention to storage and egress charges, where low ingest costs may be offset by expensive retrieval fees.Media organizations should also consider workflows that minimize storage and transportation costs through efficient file formats and compression techniques.Choose CarefullyThe message is clear: cloud strategies should be designed with sovereignty in mind from the outset.Cloud technologies can absolutely deliver next-generation operating models while still supporting sovereignty requirements. In response, we are seeing the growth of regional cloud providers, sovereign infrastructure initiatives, and a new generation of technology vendors focused on preserving customer choice and control.As sovereignty becomes a more important consideration for media organizations, the ability to retain operational independence, maintain control of data, and avoid unnecessary lock-in will become increasingly valuable. The future of cloud is not simply about scale. It is about ensuring that organizations retain the freedom to choose how and where they operate.Appendix: The CLOUD ActIn 2018, the U.S. Congress passed the Clarifying Lawful Overseas Use of Data (CLOUD) Act, updating the legal framework used by law enforcement agencies to request data held by service providers, including cloud vendors.In theory, the legislation allows U.S. authorities to request access to data belonging to non-U.S. individuals if that data is stored on infrastructure owned or operated by U.S.-based companies.This has created ongoing debate, particularly in Europe, where GDPR requires organizations handling the personal data of EU residents to protect privacy rights through lawful processing, explicit consent, and data protection by design.It is worth noting that major cloud providers, including AWS, state that they have not disclosed customer content under the CLOUD Act and point to the legal and technical safeguards that exist to protect customer data.
