Kustomer has introduced Data Explorer, an AI-driven reporting experience designed to transform how customer experience (CX) teams analyze performance, diagnose issues, and make operational decisions. The launch positions Kustomer as the first CX platform to combine unified customer data, conversational insights, visual analytics, and prescriptive recommendations in a single workspace.

Built into Kustomer’s AI-native platform, Data Explorer lets leaders type questions in natural language—such as “Why did chat response times spike last week?”—and receive immediate charts, explanations, and suggested actions. The goal: reduce the time CX leaders spend switching between dashboards, exports, and manual analysis.

A Faster Way to Understand CX Performance

“For most CX teams, reporting is still slow and reactive,” said Brad Birnbaum, CEO & Co-Founder of Kustomer. “Data Explorer analyzes every part of the customer journey—performance, sentiment, backlog, staffing signals—and explains what’s driving outcomes. You get real, actionable intelligence sourced from your live data.”

Instead of simply showing what happened, the system highlights why it happened and what teams should do next, helping leaders quickly adjust staffing, workflows, or coaching priorities.

Jeremy Suriel, CTO & Co-Founder, described Data Explorer as a shift in how service teams interact with their data. “You can chat with your data and get insights in seconds. The system predicts trends, builds the right visualizations, and removes friction from reporting.”

Key Features

• Natural Language Querying
  Ask questions in everyday English and receive structured responses with visuals and narrative explanations.

• Unified CX Data Model
  Analyze customer profiles, conversations, sentiment, SLAs, and custom objects—without stitching together multiple exports.

• Actionable Recommendations
  Each insight includes operational next steps, such as routing updates, staffing changes, or targeted agent coaching.

• 250+ Guided Prompts
  Covers backlog analysis, SLA health, volume forecasting, team performance, voice-of-customer themes, and more.

• Always-On Monitoring
  Detect unusual shifts in sentiment, CSAT, volume, or handle time to flag emerging issues before they escalate.

What CX Teams Can Do with Data Explorer

The new tool helps CX leaders:

• Plan staffing more accurately using volume forecasts and SLA risk modeling.

• Investigate anomalies in refunds, cancellations, or contact spikes by linking trends to specific customers, agents, or policies.

• Elevate team performance through rep scorecards and targeted coaching workflows.

• Amplify customer feedback with automated analysis of sentiment patterns, recurring themes, and friction points.

Customer Spotlight: Goody

Modern gifting platform Goody has adopted Data Explorer for its weekly CX reviews. The result: what once required manual reporting now takes seconds.

“It has quickly become one of my favorite tools,” said Marissa Sherwood, Senior Manager of Customer Experience. “I can deep-dive into any metric I need, and the analysis is faster, more accurate, and far more actionable.”

Goody’s team uses Data Explorer to:

• Analyze tags for behavior trends.

• Break down CSAT drivers.

• Review agent-level performance.

• Surface new customer themes earlier.

“It centralizes complex analytics in an accessible way,” Sherwood added. “It saves hours every week and improves the clarity of our insights.”

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HawkEye 360 is scaling its global intelligence footprint with a major new win. The company announced a multi-year contract worth more than $100 million with a strategic international partner, marking one of its largest agreements to date. The five-year deal includes guaranteed access to HawkEye’s advanced radio frequency (RF) data and analytics, along with options for expanded collection capacity and regional ground infrastructure integration.

The agreement underscores the rapid acceleration of RF intelligence as a critical asset for defense, national security, and tactical operations. It arrives at a moment when governments are seeking more precise, persistent, and flexible ways to monitor activity across contested and high-risk regions.

A High-Confidence Partnership in a High-Stakes Era

“This agreement highlights the trust placed in HawkEye 360 as a mission partner in one of the world’s most dynamic regions,” said John Serafini, CEO of HawkEye 360. He emphasized the importance of scaling the constellation in collaboration with regional partners to strengthen decision-making and support critical missions.

Under the contract, HawkEye will deploy dedicated satellite clusters that will reach full operational capability in early 2027. These clusters will deliver priority RF access for the partner while increasing overall system capacity for HawkEye’s global customer base. The agreement also leaves room for expanded collection capabilities and deeper regional infrastructure integration as mission needs evolve.

Growing Demand for RF Intelligence

RF intelligence is becoming a strategic differentiator in global security operations. HawkEye 360 has positioned itself as a category leader by building a commercial constellation capable of detecting, characterizing, and geolocating RF signals. This capability allows customers to track illicit maritime activity, monitor border security, enhance situational awareness, and support rapid-response operations.

The company’s approach has been especially valuable in regions where traditional intelligence assets face limitations. As geopolitical threats and gray-zone activities grow more complex, demand for multi-source precision intelligence continues to rise. This contract signals that international partners are willing to make long-term investments in scalable SIGINT solutions.

A Scalable Future for Regional Defense

Alex Fox, President of HawkEye International, noted that the deal demonstrates the strength of HawkEye’s model. “This commitment shows the value of HawkEye 360’s adaptable, scalable, mission-ready capabilities,” Fox said. He added that expanding the constellation will directly enhance regional operational effectiveness while fueling continued innovation for the company.

The deployment of new clusters will improve data refresh rates, increase collection range, and add resilience across the system. It also strengthens HawkEye’s ability to serve commercial, defense, and humanitarian missions with faster and more precise RF insights.

What the Deal Signals for the Intelligence Market

This agreement reflects a broader trend: nations and defense organizations are turning to commercial space providers for intelligence advantages once limited to government programs. Commercial RF monitoring is becoming essential infrastructure for modern security, giving partners access to intelligence without the cost or timeline of building their own space systems.

For HawkEye 360, the contract reinforces its position as a critical supplier of global signals intelligence. For the international partner, it secures long-term access to technology that will shape the next decade of operational readiness.

As geopolitical environments shift and RF activity grows more complex, this deal marks a significant step toward more agile and collaborative intelligence ecosystems. HawkEye 360’s expanding constellation will play a central role in supporting missions that demand accuracy, speed, and scalable coverage.

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Karat is making a decisive move in the future of technical hiring. With the launch of Karat NextGen, the company is introducing the first human-led, AI-enabled talent evaluation system designed to measure engineering ability in an era where humans and AI collaborate every day. It arrives at a moment when engineering productivity is rising faster than ever, and organizations are scrambling to identify talent that can harness this shift.

Karat’s new 2025–2026 AI Workforce Transformation Report outlines a clear trend: the ROI of a strong engineer is expected to triple in the next three years. Nearly 70 percent of engineering leaders plan to scale their AI capabilities, but most companies still evaluate engineers using outdated, pre-LLM criteria. The gap between what companies need and how they hire is widening quickly.

“Most companies are still hiring based on a pre-LLM rubric,” said Jeffrey Spector, co-founder and president at Karat. He argues that the nature of engineering has changed, and technical interviews must evolve with it. Karat NextGen aims to deliver a hiring signal that reflects modern work—where humans and AI operate in the same loop.

A New Benchmark for Human + AI Talent

Karat draws from a dataset built over more than 600,000 industry interviews. That consistency has allowed global brands like Atlassian, Duolingo, and PayPal to define engineering quality in a structured and measurable way. With NextGen, Karat is turning that historical foundation into a future-ready interview format.

The system is fully managed and aligned with the speed of AI advancement. It adapts as tools, models, and workflows evolve, helping leaders build engineering organizations capable of facing rapid transformation. As AI reshapes the development landscape, companies need a reliable way to evaluate whether candidates can think critically, collaborate with AI, and make sound engineering decisions.

Engineering Reality, Not Theoretical Coding

David Lau, VP of Engineering at OpenAI, reinforced the pace of change. AI models have progressed from autocomplete tools to agents capable of writing full libraries and exploring new solutions. As he notes, last month’s edge cases quickly become standard. Organizations that fail to rethink their hiring will fall behind.

This shift demands interviews that reflect reality and cannot be auto-solved by a model. That means giving engineers real-world environments, complex multi-file projects, and AI tools integrated directly into the workflow. More importantly, it requires expert interviewers who know how to differentiate between genuine engineering thinking and what comes from an AI prompt.

Inside the NextGen Interview

Karat NextGen blends live human evaluation with AI capabilities in a single interview flow. Candidates work through complex projects with an integrated AI assistant while collaborating with Karat’s Interview Engineers. The format tests reasoning, trade-offs, debugging, and judgment—factors that AI alone cannot fully reveal.

It also ensures fairness by applying consistent structure across all interviews, reducing bias and preventing inflated performance from AI-generated answers. The goal is not to punish AI use but to measure how well an engineer can wield it.

“AI is transforming engineering, but the real breakthroughs happen when human judgment and AI capabilities work together,” said Sagnik Nandy, CTO at DocuSign. He argues that organizations need reliable ways to identify talent that thrives in this dual-intelligence model. Karat NextGen provides a framework for doing exactly that.

A Turning Point for Engineering Hiring

As software development becomes more AI-centric, hiring becomes far more complex. Companies can no longer rely on traditional coding tests or theoretical questions. The teams that succeed will be those that evaluate engineers the way modern development actually happens: collaboratively, interactively, and with AI as a core tool.

Karat NextGen enters the market not as an incremental update but as a response to a structural shift. Engineering leaders now need to understand who can reason with AI, challenge AI, and use AI responsibly—all while maintaining the depth of skill that defines great engineering.

With NextGen, Karat aims to set a new standard for measurement. The company positions the platform as a crucial solution for CTOs, CIOs, and VPs of Engineering who want to build resilient teams capable of succeeding in the human + AI era. As AI accelerates, the organizations that adapt their hiring the fastest will gain a meaningful competitive advantage.

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Independent agencies are getting a major upgrade. PubMatic, Untapped Growth, and tvScientific have formed a new alliance aimed at fixing one of digital advertising’s most outdated problems: a slow, fragmented, and opaque CTV supply chain. Their joint solution brings AI-driven infrastructure, direct premium inventory access, and performance-grade measurement into a single workflow that puts independent buyers on equal footing with holding companies.

The partnership offers a streamlined path to premium CTV, allowing agencies to optimize faster, measure more clearly, and scale without sacrificing their agility. It is part of a broader industry shift as CTV transforms into a performance channel rather than a branding-only medium.

A Modern Supply Chain Built for Speed

The companies are tackling a long-standing issue in programmatic advertising. Over the past two decades, layers of intermediaries accumulated across the supply path, often adding cost and friction without adding value. PubMatic argues that AI is finally creating the opportunity to rebuild the system.

PubMatic’s AI-powered infrastructure gives agencies direct access to premium CTV supply, while Untapped Growth aggregates buying power across boutique firms without minimizing their independence. tvScientific adds a performance layer that ties impression-level data to business outcomes. Together, the trio delivers a supply chain designed around speed and clarity rather than legacy toll booths.

Independent agencies working with Untapped Growth report faster access to quality CTV inventory, reduced setup drag, and better visibility into what drives campaign performance. Much of that improvement comes from real-time measurement and AI-driven optimization through PubMatic and tvScientific.

AI Agents Enter the Ad Transaction Layer

One of the most ambitious elements of the partnership is its use of agentic AI. PubMatic’s accelerated compute layer and Model Context Protocol allow AI agents to automate campaign setup, troubleshoot delivery, and handle diagnostics across systems. This approach reduces campaign troubleshooting time by up to 70 percent.

The implementation marks an early commercial use of agentic AI within the transaction layer of digital advertising. It hints at a future where AI handles the operational heavy lifting, leaving agencies free to focus on strategy and creative differentiation.

tvScientific strengthens this system by linking every impression to a measurable business outcome. That closes the loop between exposure and conversion, enabling CTV to perform like a digital performance channel rather than a broad-reach awareness tool.

Independent Agencies Gain Enterprise-Level Firepower

Level Agency, an Untapped Growth member, offers a real-world look at the partnership’s impact. The agency positions itself as a hybrid—big enough for enterprise-grade performance but small enough to deliver hands-on service. Through this collaboration, Level gains pricing power and transparency traditionally reserved for holding companies.

The consolidated supply chain allows Level to pair competitive CPMs with its high-touch strategic approach. According to Level’s leadership, brands no longer need to choose between scale and agility. The unified infrastructure helps mid-market advertisers unlock efficiencies once available only to the largest buyers.

A Growing CTV Opportunity

The timing of this partnership reflects the rapid rise of connected TV. U.S. CTV ad spend is expected to reach $33 billion in 2025, climbing nearly 16 percent year-over-year. Much of that growth is driven by independent agencies and mid-market brands expanding their budgets into premium video and performance-led CTV campaigns.

This collaboration positions PubMatic, Untapped Growth, and tvScientific at the center of that momentum. By unifying infrastructure, inventory, and measurement, the companies offer a scalable model for the next wave of CTV buyers—particularly those that value speed, transparency, and outcomes.

As the CTV market matures, the trio’s combined approach signals a shift away from consolidation as the industry’s growth engine. Instead, success is being built on expansion—empowering independent agencies with tools and technology once reserved for the largest holding groups.

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The rapid growth of AI-assisted development has transformed how teams write, test, and deploy software. However, most AI coding assistants still lack the ability to execute real-world testing workflows on actual devices and browsers. BrowserStack addresses this limitation with the launch of BrowserStack MCP Server on Amazon Web Services (AWS) Marketplace.
This availability brings enterprise-grade testing capabilities directly into AI-powered developer environments, enabling teams to automate, debug, and validate software with greater speed and accuracy. By integrating into AWS Marketplace, BrowserStack simplifies adoption, procurement, and deployment for enterprises seeking to scale AI-powered testing.

1. Understanding BrowserStack MCP Server

What Is the MCP Server?

• An open-source integration layer connecting BrowserStack’s testing infrastructure to AI assistants.

• Enables developers to trigger tests, run debugging workflows, and launch real devices directly through natural language commands.

• Eliminates the need to switch between IDEs, browsers, and device farms during development cycles.

Why It Matters

• AI tools like GitHub Copilot, Cursor, and Claude offer code suggestions but cannot execute real tests.

• MCP Server unlocks hands-on actions by allowing AI agents to interact with BrowserStack’s device cloud.

• Helps teams ship higher-quality software by integrating automation and testing directly into developers’ IDE workflow.

2. Benefits for AWS Marketplace Users

Seamless Discovery and Deployment

• AWS Marketplace provides instant access to BrowserStack MCP Server.

• Enables enterprises to procure, deploy, and manage testing tools from a unified cloud destination.

Faster Integration into Existing Workflows

• Direct installation from AWS Marketplace reduces onboarding time.

• Teams can integrate AI-powered testing into CI/CD pipelines without complex setups.

Enterprise-Ready Scalability

• Supports thousands of device-browser combinations through BrowserStack’s global testing infrastructure.

• Designed for large development teams requiring reliable, scalable testing environments.

3. Key Capabilities of BrowserStack MCP Server

a. Launch Testing Sessions on Real Devices Instantly

• Trigger apps or websites on real devices from within the IDE.

• Access thousands of OS versions, browsers, and mobile devices.

• Removes reliance on emulators or manual device management.

b. Execute Playwright and Selenium Test Suites with AI-Powered Analysis

• Run automated test suites with improved accuracy and context-driven insights.

• AI-driven debugging identifies root causes of failures.

• Automatic fixes and recommendations reduce manual troubleshooting.

c. Perform Accessibility Testing with AI Suggestions

• Conduct WCAG and ADA compliance scans using BrowserStack tools.

• AI-generated remediation guidance helps teams fix accessibility gaps faster.

• Supports inclusive design from the earliest development stages.

d. Auto-Generate and Improve Test Cases Using AI Agents

• Convert PRDs into structured test cases.

• Transform manual test scripts into automated ones.

• Auto-heal flaky tests to improve reliability.

• Introduces higher efficiency in QA workflows.

4. How AI Assistants Become Testing Agents

Natural-Language Execution Examples

With MCP Server, AI assistants do more than recommend code. They can:

• Run an APK on a specific device model.

• Launch a website on a particular browser version.

• Debug crashes with real-time logs and stack traces.

• Perform accessibility scans or validate UI behavior.

Example in Action

Ritesh Arora, CEO and Co-founder of BrowserStack, explains the impact:
A developer can simply ask the AI assistant to "run this APK on a Pixel device and debug the crash"—and BrowserStack handles the entire workflow automatically.

This transforms AI assistants from passive helpers into active testing partners.

5. The Broader Impact on Software Development

Strengthening Developer Productivity

• Reduces time spent configuring test environments.

• Allows developers to focus more on building features, not managing testing infrastructure.

Improving Release Velocity

• Faster debugging shortens release cycles.

• Automated workflows ensure consistent quality across builds.

Supporting Modern DevOps and QA Practices

• Integrates seamlessly with continuous testing pipelines.

• Encourages test automation adoption across teams.

Conclusion

The rollout of BrowserStack MCP Server on AWS Marketplace marks an important step in merging AI development tools with practical software testing capabilities. By enabling AI assistants to run tests, debug software, analyze failures, and manage real devices, BrowserStack is redefining the future of developer productivity.
Enterprises using AWS can now more easily integrate AI-powered testing into their workflows, ensuring faster, more reliable, and more efficient software delivery at scale.

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Adstra, a global leader in enterprise identity resolution across media and marketing touchpoints, has announced the launch of Conexa Workspace, the latest evolution of its Conexa™ Composable Identity Platform. The new Workspace introduces a turnkey, self-service experience through an updated user interface, enabling brands to unify fragmented customer data, identify high-value audiences across the web, and activate insights that drive measurable marketing and business outcomes.

As identity challenges intensify amid signal loss, walled gardens, and rising acquisition costs, brands are seeking more control over how identity data is unified, accessed, and activated. Conexa Workspace reflects this shift by delivering flexible, scalable identity capabilities in a composable framework designed for modern marketing teams.

The Growing Complexity of Identity in Modern Marketing

Identity resolution has become a foundational challenge for marketers navigating a privacy-first, omnichannel ecosystem.

Fragmentation Across Touchpoints

Brands today manage customer data across:

• Websites and mobile apps

• CRM and CDP platforms

• Paid media, owned channels, and partners

• Logged-in and anonymous environments

Without a unified identity layer, these data sources create disconnected views of customers, limiting personalization, measurement, and growth.

Pressure Beyond Walled Gardens

Walled ecosystems restrict transparency, scale, and portability. As a result, brands—especially direct-to-consumer and challenger brands—are increasingly prioritizing identity solutions that provide:

• Independent audience control

• Higher match rates across channels

• Reduced reliance on closed platforms

Conexa was built specifically to address these challenges through composability and interoperability.

What Is Conexa Workspace?

Conexa Workspace is the newest interface layer for Adstra’s Conexa™ Composable Identity Platform, delivering direct, turnkey access to identity capabilities in a self-service environment.

A Turnkey Identity Experience

The Workspace enables brands to:

• Access the full Conexa identity network

• Activate modules without heavy integration overhead

• Manage identity workflows through an intuitive UI

This approach lowers operational friction while maintaining enterprise-grade scale and precision.

Built on a Composable Identity Framework

Conexa is positioned as the industry’s first Composable Identity Platform. Rather than forcing brands into a rigid system, Conexa allows organizations to:

• Activate individual modules to enhance existing stacks

• Deploy a full end-to-end identity solution

• Adapt identity strategies as needs evolve

This flexibility ensures brands retain control while future-proofing their marketing infrastructure.

Key Capabilities Available Through Conexa Workspace

Conexa Workspace unlocks several high-impact identity capabilities that support data unification, audience expansion, and performance optimization.

First-Party Data Unification and Enrichment

Disparate customer data remains one of the biggest barriers to actionable insights.

Creating a Persistent Customer View

With Conexa Workspace, brands can:

• Securely ingest fragmented first-party data

• Unify records into a single, persistent identity

• Enrich customer profiles with additional attributes

This unified view supports more informed decisions across marketing, product development, and customer engagement.

Strategic Value for Enterprise Teams

By consolidating identity at the foundation, organizations can move beyond reactive campaigns toward proactive, insight-driven strategies.

Online Visitor Intelligence for Anonymous Audiences

A significant portion of web traffic remains anonymous, limiting addressability and measurement.

Resolving Unknown Visitors

Conexa Workspace enables brands to:

• Identify anonymous website visitors

• Resolve them against Adstra’s identity graph

• Convert unknown traffic into addressable audiences

This capability increases reach without relying on third-party cookies.

Driving Smarter Activation

By unlocking visibility into anonymous behaviors, brands can better tailor messaging, optimize journeys, and improve attribution accuracy.

Total Addressable Market (TAM) Expansion

Scale remains a constant challenge in modern digital acquisition.

Expanding Reach With Addressable Identity

Through Conexa Workspace, marketers gain:

• Direct access to Adstra’s consumer attributes and identifiers

• Greater control over audience construction

• Improved precision across activation channels

This enables brands to expand their total addressable market while maintaining relevance and performance.

Reducing Acquisition Costs

Higher match rates and better targeting help lower cost-per-acquisition and mitigate audience fatigue over time.

Supporting DTC and Challenger Brand Growth

Conexa Workspace is particularly impactful for emerging brands competing against larger incumbents.

Combatting Audience Fatigue

By unlocking scalable, identity-driven audiences outside walled ecosystems, brands can:

• Refresh acquisition pipelines

• Improve performance consistency

• Reduce dependency on saturated channels

Enhancing Media Efficiency

Improved identity resolution leads to:

• Better campaign measurement

• Real-time optimization

• Increased confidence in media investment decisions

Customer Validation: InsightsRx Perspective

Early adopters are already highlighting the value of Conexa Workspace.

Egbavwe Pela, CEO and Co-Founder of InsightsRx, emphasized the platform’s ability to improve audience quality and confidence in activation:

• Turnkey access reduces operational friction

• Direct, non-transcoded distribution preserves data fidelity

• Advanced tagging enables real-time validation and optimization

These capabilities help agencies and brands deliver more predictable and measurable outcomes for clients.

Executive Vision From Adstra

Adstra leadership positions Conexa Workspace as a direct response to market demand.

Rick Erwin, CEO of Adstra, highlighted the growing need for self-service access to composable identity:

• Brands want faster access to identity infrastructure

• Flexibility and control are now essential

• Unified identity drives scalable, measurable growth

Workspace simplifies how brands tap into Conexa’s network while preserving the platform’s modular advantages.

Composability as the Future of Enterprise Identity

Identity strategies are no longer static.

Why Flexibility Matters

As privacy rules, identifiers, and channels evolve, brands need identity solutions that can:

• Scale without replatforming

• Integrate into existing ecosystems

• Support future innovation

Conexa’s composable approach ensures identity adapts to business needs—not the other way around.

Interoperability Without Compromise

Conexa Workspace allows customization without sacrificing:

• Control

• Portability

• Transparency

This balance is increasingly critical as marketing stacks grow more complex.

Conclusion: Conexa Workspace Redefines How Brands Control Identity

The launch of Conexa Workspace represents a pivotal step in Adstra’s vision for enterprise identity. By delivering turnkey, self-service access to its composable identity platform, Adstra empowers brands to unify data, unlock anonymous audiences, and scale activation beyond traditional limitations.

As identity becomes the connective tissue of modern marketing, platforms that prioritize flexibility, interoperability, and control will define the next era of growth. Conexa Workspace positions Adstra—and its customers—at the center of that evolution, where brands dictate identity strategy and technology adapts to meet their needs.

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On The Go TV has announced the launch of its new streaming platform, marking another step in the ongoing evolution of the digital entertainment landscape. As streaming continues to reshape how audiences consume content, user expectations have shifted toward flexibility, simplicity, and consolidation. Viewers increasingly want access to diverse entertainment options without the friction of managing multiple subscriptions, devices, and interfaces.

The platform’s introduction reflects broader industry trends, where streaming providers are competing not only on content libraries but also on experience, usability, and service transparency. For consumers fatigued by fragmented streaming ecosystems, unified platforms are emerging as a compelling alternative—one that prioritizes convenience, choice, and ease of access.

The Changing Dynamics of the Streaming Market

The global streaming market has matured significantly in recent years, moving from rapid adoption to intense competition and differentiation.

Subscription Fatigue and Platform Fragmentation

A growing challenge for consumers is subscription overload. Many viewers now subscribe to multiple services to access movies, television series, live sports, and continuous channels. This fragmentation has led to:

• Increased monthly entertainment costs

• Difficulty discovering content across platforms

• Frustration with managing multiple user accounts and interfaces

As a result, consumers are actively seeking consolidated platforms that reduce complexity while expanding viewing options.

Demand for Simplicity and Transparency

Industry analysts note that modern viewers prioritize:

• Clear pricing models

• Straightforward user interfaces

• Flexible subscription or trial options

• Minimal onboarding friction

Streaming solutions that fail to address these expectations risk losing relevance in a crowded market.

On The Go TV’s Response to Shifting Consumer Preferences

On The Go TV’s new streaming platform is designed specifically to align with these changing consumer behaviors.

A Unified Entertainment Experience

The platform offers a single application that brings together a broad range of content types, reducing the need to switch between services. This approach aims to streamline content discovery and viewing, particularly for households with diverse entertainment preferences.

Key content offerings include:

• Movies available on demand

• Television series across genres

• Live sports programming

• Continuous and scheduled channels

By centralizing these options, On The Go TV positions itself as a flexible alternative to fragmented streaming ecosystems.

Key Features of the On The Go TV Streaming Platform

Beyond content aggregation, the platform focuses on functional features that enhance usability and personalization.

Live Sports and Real-Time Viewing

Live sports remain one of the most valuable drivers of streaming engagement. On The Go TV includes live sports coverage designed to appeal to viewers seeking real-time experiences alongside on-demand content.

This combination allows users to:

• Watch live events without switching platforms

• Balance scheduled viewing with on-demand flexibility

On-Demand Movies and Series

The platform supports on-demand entertainment, allowing users to watch content at their convenience. This aligns with viewer expectations for control and flexibility, particularly among audiences who prefer non-linear viewing experiences.

Customizable Viewer Profiles

To support household usage, On The Go TV includes customizable profiles. These profiles enable:

• Personalized content recommendations

• Individual watch histories

• Separate preferences within a shared account

This functionality improves discovery and long-term engagement.

Simplifying Onboarding and User Support

As competition intensifies, customer experience has become a critical differentiator in the streaming sector.

Trial Access for New Users

On The Go TV offers a trial period, allowing potential subscribers to explore the platform before committing. Trial access serves several strategic purposes:

• Reduces barriers to entry

• Builds trust with first-time users

• Encourages exploration of platform features

Free or limited trials have become an expected part of modern subscription models, especially in entertainment and media.

Dedicated Customer Support

The platform also emphasizes customer support to assist with:

• Account setup and onboarding

• Technical troubleshooting

• General usage inquiries

Consumer feedback across streaming services consistently highlights reliable support as a key factor influencing satisfaction and retention.

Streaming Competition and Market Differentiation

The launch of platforms like On The Go TV underscores the increasingly competitive nature of the streaming market.

Competing Beyond Content Libraries

While exclusive content remains important, providers are now competing on additional dimensions, including:

• Ease of use and navigation

• Performance reliability

• Customer service responsiveness

• Pricing clarity

For newer platforms, matching or exceeding established players in experience is critical to gaining traction.

Accessibility as a Growth Lever

Accessibility—both in terms of interface design and content availability—plays a growing role in adoption. Platforms that simplify discovery and minimize friction are better positioned to attract users overwhelmed by complexity in the streaming ecosystem.

Consumer Feedback and the Importance of User Experience

Third-party review sites and user forums consistently emphasize usability as a central concern for streaming subscribers.

What Viewers Value Most

Common themes in consumer feedback include:

• Easy navigation and intuitive layouts

• Reliable playback performance

• Responsive customer support

• Clear communication around pricing and features

Platforms that neglect these fundamentals often face higher churn rates, regardless of content depth.

On The Go TV’s Experience-Focused Approach

By prioritizing ease of use, onboarding support, and consolidated access, On The Go TV aligns with the expectations shaping current and future streaming adoption.

The Role of Consolidation in the Future of Streaming

The introduction of consolidated platforms reflects a broader shift toward simplification in digital entertainment.

Fewer Apps, Broader Access

As households reassess entertainment spending, services that reduce the need for multiple subscriptions are becoming increasingly attractive. Consolidated platforms can offer:

• Cost efficiency

• Simplified billing

• Easier content management

This trend mirrors similar shifts in other digital sectors, where aggregation and interoperability drive user preference.

Adapting to Evolving Viewing Habits

Viewer habits continue to evolve, influenced by mobile viewing, shared households, and demand for instant access. Streaming platforms that remain adaptable and user-centric are more likely to thrive in this environment.

Industry Outlook: What Platforms Must Do to Stay Relevant

As the streaming landscape continues to develop, platforms must focus on long-term differentiation.

Core Areas of Focus

To remain competitive, streaming providers must invest in:

• User experience design

• Scalable customer support

• Content diversity

• Flexible pricing models

Platforms that successfully balance these elements can respond more effectively to changing consumer expectations.

Conclusion: On The Go TV Enters a Market Defined by Choice and Convenience

The launch of On The Go TV’s streaming platform highlights how the digital entertainment industry continues to adapt to evolving viewer demands. As subscription fatigue and platform fragmentation challenge traditional models, consolidated solutions that emphasize accessibility, usability, and flexibility are gaining momentum.

By delivering a unified application that combines live sports, on-demand entertainment, customizable profiles, and customer support, On The Go TV positions itself within a growing category of platforms built around user experience rather than complexity. As competition intensifies, platforms that listen closely to consumer needs and evolve accordingly are likely to shape the next phase of streaming innovation.

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IFS, a global leader in Industrial AI software, has announced that Dixstone has selected IFS Cloud to modernize and unify its operations across ten countries and a workforce of more than 2,200 professionals. The decision marks a major milestone in Dixstone’s digital transformation journey, reinforcing its commitment to operational excellence, safety leadership, and long-term sustainability across the offshore oil and gas value chain.

As offshore energy services become increasingly complex, organizations like Dixstone require digital platforms that can scale globally, integrate deeply across projects and assets, and provide real-time intelligence. By adopting IFS Cloud, Dixstone positions itself to leverage Industrial AI to manage high-risk, asset-intensive operations while supporting innovation in areas such as carbon capture, offshore construction, and decommissioning.

This move demonstrates how Industrial AI and unified enterprise platforms are becoming strategic enablers—not just operational tools—for energy and infrastructure-focused organizations navigating transformation at scale.

Dixstone’s Role in the Offshore Energy Ecosystem

Dixstone was created to consolidate Perenco’s offshore services capabilities into a single, integrated organization capable of delivering end-to-end offshore solutions.

A Broad Offshore Services Portfolio

Dixstone provides fully integrated services across:

• Offshore construction and installation

• Drilling and oilfield services

• Workover operations

• Marine services

• Offshore decommissioning

This breadth positions Dixstone as a critical partner across the offshore energy lifecycle, from exploration and production to end-of-life asset management.

Driving Innovation in Offshore Energy

Dixstone is already recognized for breakthrough initiatives, including:

• The United Kingdom’s first CO2 injection test for Carbon Capture and Storage (CCS)

• The Obana decommissioning platform, the world’s largest self-elevating heavy-lift jack-up vessel of its type

These projects highlight the company’s need for a digital backbone capable of supporting innovation, compliance, and safety at an unprecedented scale.

Why Dixstone Chose IFS Cloud

As Dixstone continues to scale operations across geographies and offshore environments, legacy systems were no longer sufficient to support its ambitions.

Key Drivers Behind the Decision

The selection of IFS Cloud was driven by:

• Deep industry-specific functionality for energy and asset-intensive operations

• Modular architecture supporting rapid scaling and adaptation

• Unified platform capabilities across projects, assets, and finance

• Built-in Industrial AI to enhance decision-making and predictability

These attributes align with Dixstone’s need to manage complex, multi-site operations without introducing fragmentation or operational silos.

Unifying Global Operations Across Ten Countries

Operating across multiple countries introduces significant complexity in governance, compliance, financial oversight, and execution.

A Single Source of Operational Truth

With IFS Cloud, Dixstone can:

• Standardize processes across regions and business units

• Maintain consistent operational visibility across global projects

• Improve collaboration between onshore and offshore teams

This unification is particularly critical in offshore energy, where delays, budget overruns, or safety incidents can have substantial operational and environmental consequences.

Strengthening Project Financial Control and Governance

One of the most significant benefits Dixstone will gain from IFS Cloud is enhanced project financial control across its diverse offshore portfolio.

Real-Time Project Oversight

IFS Cloud enables:

• Live tracking of project budgets and costs

• Real-time monitoring of timelines and milestones

• Accurate forecasting and resource allocation

This level of transparency allows Dixstone to ensure that complex offshore projects are delivered:

• On schedule

• Within budget

• In alignment with stringent safety and quality standards

For large-scale offshore conversions, marine operations, and decommissioning programs, such control is essential to minimizing risk and maximizing margin.

Enabling Predictive Asset Operations and Maintenance

In asset-heavy industries, maintenance efficiency directly impacts safety, uptime, and profitability.

Managing a Global Fleet With Confidence

Dixstone operates a global fleet of:

• Offshore rigs

• Specialized marine vessels

• Platforms and heavy-lift assets

IFS Cloud provides a unified framework to manage these assets across their full lifecycle.

Leveraging Predictive Maintenance With Industrial AI

Using centralized asset data and AI-driven insights, Dixstone can:

• Predict equipment failures before they occur

• Schedule maintenance proactively

• Extend asset lifespan

• Reduce unplanned downtime

This proactive approach enhances operational reliability while supporting safety-first offshore operations.

Supporting Safety and Sustainability Objectives

Safety and sustainability are not optional in offshore energy—they are foundational requirements.

Enhancing Safety Through Visibility and Intelligence

IFS Cloud supports safety goals by:

• Providing real-time operational insights

• Reducing reliance on manual processes

• Improving compliance monitoring across projects and assets

By minimizing blind spots, Dixstone can better protect its workforce and offshore environments.

Advancing Sustainable Offshore Operations

Digital integration across the E&P value chain enables Dixstone to:

• Reduce environmental impact across offshore projects

• Optimize resource usage

• Support low-carbon initiatives such as CCS and decommissioning

This aligns technology investment directly with sustainability outcomes.

Executive Perspectives on the IFS Cloud Partnership

Leadership from both organizations emphasized the strategic importance of the deployment.

Dixstone’s View

Jean-Christophe Le Gal, General Manager at Dixstone, highlighted the platform’s role beyond IT modernization:

• IFS Cloud delivers agility across global operations

• The platform supports sustainability alongside growth

• It acts as a long-term strategic enabler

This signals a shift from technology as infrastructure to technology as a driver of competitive advantage.

IFS’ Perspective

Simon Niesler, Chief Revenue Officer at IFS, emphasized how Dixstone’s decision reflects broader industry priorities:

• Unified project control is essential for complex global operations

• Integrated asset management drives safety and efficiency

• Predictive maintenance sets new standards for operational excellence

The partnership showcases how Industrial AI can be operationalized at scale within the offshore energy sector.

Aligning Digital Transformation With Long-Term Strategy

The IFS Cloud implementation supports Dixstone’s long-term strategic objectives.

End-to-End Value Chain Integration

By integrating processes across the exploration and production value chain—from early-stage operations through decommissioning—Dixstone can:

• Deliver modular, fit-for-purpose offshore solutions

• Reduce operational and environmental risk

• Create sustained value for global customers

This approach ensures digital transformation is directly tied to business outcomes rather than isolated system upgrades.

Conclusion: Industrial AI as a Foundation for Offshore Excellence

Dixstone’s selection of IFS Cloud reflects a clear understanding that modern offshore operations demand more than disconnected systems and manual oversight. By adopting an Industrial AI-powered, unified cloud platform, Dixstone is building a digital foundation capable of supporting safety-critical, asset-intensive operations at global scale.

From real-time project financial control to predictive asset maintenance and sustainability-driven innovation, IFS Cloud becomes a central enabler in Dixstone’s journey toward operational excellence. As the offshore energy sector evolves—balancing growth, decarbonization, and safety—this partnership demonstrates how Industrial AI and enterprise platforms are redefining what best-in-class operations look like.

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