2024 Catalyst Projects

See Innovation Come To Life

At the heart of innovation at Innovate Asia, 10+ Catalyst projects will debut their groundbreaking innovations live in the expo hall and on the Innovate stage.

Harnessing the collaborative global force of the greatest industry minds from global organizations, our Catalyst project teams are pioneering solutions to propel industry innovation and growth through Open APIs, ODA, AI, and automation.

Experience first-hand their inventive and trailblazing demonstrations. Delve into the challenges tackled, use cases explored, and solutions forged. Connect with these visionaries to discover how you can leverage their achievements to align with your business objectives and advance future outcomes.

Catalyst Champions include:

Browse Catalyst Projects

Game X

The impact of technology advancements in Cloud and Edge computing, AI everywhere, 5G and intelligent networks, is poised to revolutionize gaming industry by eliminating traditional constraints, allowing precision service quality and enabling paramount gaming experience. This advancement is particularly significant in the context of the rapidly growing eSports industry, with the global market projected to reach $140 billion by 2028 and cloud gaming itself expected to grow to $18 billion by 2026. These developments open up new avenues for monetization. However, the success of cloud gaming hinges on delivering a high-quality gaming experience that meets player expectations, which necessitates a new approach to network connectivity. In gaming, "slow is the new down" – a principle that extends to other latency-sensitive industries like finance, IoT, and AI. The Catalyst project, Game X, showcases a groundbreaking solution: a network that automatically adapts to guarantee the quality of experience required for demanding online gaming for instance, professional competitions. This innovation creates new business models for service providers and the entire gaming ecosystem, including game developers, publishers, and cloud providers. It enables dynamic, premium service APIs for B2B interactions such as international gaming events, professional online games, and differentiated premium services for gamers (B2C). The project fosters agile partnerships by integrating Agentic AI capabilities across the value chain. Our solution leverages Agentic AI-powered autonomous network management and closed-loop automation to proactively optimize performance, ensuring zero-trouble operation and dynamically adapting to changing network conditions, significantly improving operational efficiency. We achieve this by utilizing TM Forum's Open APIs and Open Digital Architecture (ODA), enabling cloud gaming platforms to express their desired network performance as intent, which is then automatically translated into specific network configurations across 5G networks, fixed-line infrastructure, and edge computing resources. This Catalyst demonstrates how CSPs can leverage autonomous network capabilities to deliver superior gaming experiences and monetize their 5G and fixed network investments by offering differentiated, premium QoS services, opening up new revenue streams. We also demonstrate zero-wait service provisioning with the help of Zero-Touch Partner onboarding capabilities.

URN: M25.0.824

Project details

Autonomous and sustainable IOT ecosystems at scale - Phase II

While many legacy components of the Internet of Things (IoT) are static and fixed to their deployed position (e.g. surveillance cameras, environment sensors), some of the most important pieces are increasingly evolving to be ones which move either on their own accord (e.g. vehicles, robots, drones) or with us (e.g. mobile devices, wearables). This produces a rapidly expansible ecosystem with dynamic and non-deterministic workloads. This fluidity moving devices introduce stretches IoT management platforms’ capabilities, which now require extension with advanced automation to handle the requirements of seamless service delivery in an energy-efficient manner. In November 2024, a methodology to measure connected device emissions was announced by the Carbon Trust in collaboration with Amazon, Microsoft, Samsung and Sky – the energy use of connected devices is currently equivalent to the total energy use of France. In parallel, there are service concerns, with the Evening Standard asking in August 2024 why the UK’s phone signals are so bad. These are therefore pressing areas of investigation with much potential for positive contributions to be made. Autonomous IoT, where intelligent algorithms take over IoT management, is a promising approach for a Sustainable IoT. The previous catalyst considered a very simple scenario of one “moving thing”, a drone, hopping between different edge nodes causing the need of “follow-the-thing” type of IoT service and network orchestration. Additionally, we considered sustainability by applying simple techniques for energy savings. In this proposal, we focus on increasing the scale of the problem. How can we handle the main pain points of service and network orchestration and sustainability planning when the volume of “moving things” increases significantly e.g. thousands of drones, or thousands of “moving things” of different nature e.g. drones, autonomous vehicles etc which share the same infrastructure.

URN: C25.0.805

Project details

Monetizing federated connectivity for automotive OEMs

This Catalyst addresses the challenge of integrating advanced connectivity for industries like Automotive OEMs, where fragmented network services and non-standardized interfaces hinder innovation. By collaborating with Mobile Network Operators (MNOs) and Technology Vendors, Global System Integrators (GSIs) leverage the GSMA Open Gateway API model, including TM Forum APIs, exposing network services through standardized APIs to enable seamless data exchange and optimized connectivity. The business value lies in the monetization of Network APIs via a centralized portal that gives Automotive OEMs full visibility into network deployment options. This portal, managed by the MNO as a Federation Broker, allows OEMs to access the best Edge/MEC resources across networks, reducing deployment costs and accelerating the time-to-market for new vehicle applications. The Federation concept ensures efficient network handover across MNOs, enhancing service continuity and performance, while standardized APIs streamline solution reuse across various contexts, further lowering costs and boosting efficiency. By integrating TM Forum APIs and CAMARA for northbound interfaces and East-West Boundary Interfaces (E/W-BI) for cross-operator coordination, this solution establishes a robust ecosystem that supports new services with minimal adaptation. This model significantly reduces operational complexity for Automotive OEMs, increases energy efficiency, and ultimately enhances the user experience through low-latency, high-availability services.

URN: M25.0.795

Project details

AI-Enabled system for vehicle-road-cloud collaboration - Phase II

Telecom operators, in collaboration with network equipment vendors and research institutes, are revolutionizing communication infrastructure by deploying a low-altitude network architecture that integrates 5G-A networks with satellite Internet. Using drones to build base stations, this innovative setup creates a three-dimensional coverage network, combining self-organizing networks and vehicle-to-everything (V2X) communication systems. The result is an extended communication range, heightened network resilience, and robust coverage even in remote or challenging environments.

URN: M25.0.818

Project details

SATCOM with an Edge - Phase III

Societies and businesses that live and operate in remote locations not only need basic connectivity services but also superior experiences that are on-par with services delivered in mainstream locations. While SATCOM + 5G provides the much needed basic connectivity services for the poorly connected and unconnected societies, SATCOM providers and CSPs can go a step further to empower the first responders and businesses with rich applications and low latency services, offering new pathways to generate new revenue. In this catalyst, we propose to develop following key capabilities to enable Telcos and SATCOM providers to deliver mission critical services to first responders and business customers. Phase 3 proposes to extend the Phase 2 solution (ie: SATCOM + 5G Anywhere) with new capabilities to further empower the first responders and businesses in remote locations with mission critical low latency applications at the edge, thus providing new revenue streams for SATCOMs and CSPs 1- Provision mission critical Edge applications on-demand to an edge computing device. 2- Monitor and assure end to end network, service and application performance. 3- Charge and Bill for the network services and applications

+10

URN: C25.0.766

Project details

NeuroNet orchestrator

CSPs are facing increasing pressure to deliver new services faster and more cost-effectively. Traditional network orchestration methods are siloed, slow, error-prone, and inflexible. By Replicating legacy applications and creating a new precognitive application blueprint followed by delivering a production application in days allows a CSP to leap into a new era. By delivering new CSP processes across the network, will provide orchestration which significantly reduce time-to-market for new services, improve service quality, and lower operational costs, ushering in a new era with a new way of creating and delivering network orchestration. This Catalyst provides quantum leaps over todays network orchestration by transforming a network legacy E2E journey in moments, streamlining processes, reducing manual intervention, accelerating service delivery, improving operational efficiency, and enhancing customer experience like never before.

URN: C25.0.837

Project details

B2Sea: Converged access - Phase IV

Market Opportunity and CSP Challenges Many port and terminal operators are investing in private 5G networks to provide high-speed, low-latency wireless connectivity for applications such as automated guided vehicles (AGVs), remote-controlled cranes, smart cargo handling, and predictive maintenance. In the maritime transport segment, onboard private cellular networks – supported by satellite backhaul links – are widely utilized to provide voice, data, messaging, and IoT connectivity services for both passenger and cargo vessels while at sea. With the global market for Smart Ports projected to reach US$15.3 billion by 2030, CSPs have an opportunity to harness 5G and private networks to tailor compelling enterprise services geared towards maritime and port operations. Solution Needs However, maritime vessels and port operations need multiple network slices for optimized performance, including ultra-low latency for control commands and high bandwidth for video feeds. Dynamic network slicing ensures continuous service quality and fail-safe operations by adjusting in real-time and switching to alternative slices during congestion or failures. When maritime vessels are in ports, harbors, or at sea, a variety of access technologies will come into play, such as 5G, FTTx, IoT, and satellite. When in transit globally, connectivity may switch between multiple operators, presenting unique challenges in delivering service intent. 2025 Catalyst Solution (Converged access - Phase IV) Our catalyst solution, providing dynamic network slicing, builds on the success of our multi-year converged access project phases, with 2025 leveraging new AI functionality and network vendor partners. Our project will also leverage CAMARA APIs to address the data sharing, inventory and location needs in multi-operator connectivity, ensuring a seamless experience in maritime operations. Business Value to CSPs CSPs will benefit from reduced IT costs and the speed to launch new intent-driven B2B2X services, addressing the needs of critical SLAs and security. The catalyst can also augment a telco's partner ecosystem on a centralized infrastructure, serving multiple stakeholders and additional verticals in logistics, supply chain, and transportation. What's Next Looking to differentiate your enterprise services in a competitive climate by guaranteeing business continuity over any access? Then join us at DTW in Copenhagen to capitalize on the smart port billion-dollar market opportunity.

URN: C25.0.807

Project details

Quality of Trust: Eliminating spam, enabling growth

Globally, over 5.5 billion spam calls are made monthly, and associated scams from smishing and vishing result in more than $55 billion in annual losses. These spam and scams erode trust in digital communications and place significant burdens on organizations and CSPs for a solution. To achieve trust, a globally coordinated Tool is essential to combat spam and resulting scams. This will not only restore subscriber trust, but it will also incentivize CSPs to solve the Spam & Scam problem by unlocking new monetization opportunities from the Tool for CSPs. Such a Tool would leverage real-time intelligence sharing and advanced filtering or AI/ML models across CSP networks globally, helping telcos significantly reduce spam and associated Scams across SMS, voice, and other channels. This enhanced security would restore consumer confidence in the legitimacy of communications, enabling safer transactions in areas like payments, e-commerce, and even government services. As trust increases, telcos could leverage this tool to build new revenue models using secure communication platforms and APIs for other businesses while fostering a trusted digital ecosystem, vital for the future of digital communications commerce, payments and other digital use cases.

URN: M25.0.763

Project details

Growing B2B with autonomous agents

Serving mid-market B2B customers – enterprises with 50-1,000 employees – is a challenge for CSPs. Such customers demand the same level of flexibility and agility as large enterprises, but the approach taken with the largest customers – which often entail manual processes to create bespoke offers – cannot be profitably scaled. This situation only becomes more of a challenge as CSPs look to grow their presence in the B2B space, monetizing advanced network capabilities and bundling partner products and services in order to create tailored solutions for enterprises. The answer to this comes through a generative-AI enhanced lead-to-care process to pivot from a human-agent driven engagement to a customer led journey empowered by Generative AI. GAI agents will enable customers to find relevant products using semantic search, creating customized solutions that meet their specific business requirements, budgets and timelines. These GAI agents will be supported by catalog-driven CPQ, which will enable configuration and rules validation and support seamless end-to-end journeys.

URN: M25.0.797

Project details

Data and AI-driven network operations

The solution we propose will address the typical challenges in the network operations such as long delay in diagnosing the root causes, identifying right and faster resolutions, avoid unnecessary changes in the network, and rolling back them in case of failures, not able to be proactive in assurance, all there by leading to poor customer experience and inefficient operations. Our solution brings all relevant data to a common data layer, correlates all of them in one go, identifies the root causes and solutions in no-time and automates them with intent based, intelligent analytics, predicitve and genAI driven service assurance. CSPs want this problem solved with advanced features like genAI, where the machine learns with minimal inputs from network experts, and also be able to recommend accurate, immediate, detailed and automated resolutions. This solution changes the whole dynamics in network operations, by driving it through minimal or zero touch, human augmented only where needed operations as an end goal.

URN: C25.0.814

Project details

AI-enhanced digital twins for best NPS network - Phase II

In today's competitive telecom landscape, customer satisfaction and Net Promoter Score (NPS) are critical indicators of a company's market competitiveness and long-term sustainability. Traditional methods of managing NPS, which rely on random surveys with small sample sizes, often fall short in identifying and addressing the root causes of customer dissatisfaction. This project introduces an innovative approach to enhance network NPS by leveraging advanced AI and digital twin technology. Our solution provides a real-time, predictive, and actionable method for managing and improving network performance. By focusing on network NPS, we aim to significantly boost overall customer satisfaction and loyalty. Using AI, we can gain deeper insights into customer behavior and network performance, enabling proactive management and optimization of the network. This ensures that CSPs can quickly address and prevent potential issues, leading to a more reliable and high-performing network. The result is a more satisfying and seamless experience for end-users, ultimately driving higher NPS scores and business growth. By enhancing network NPS, we transform the way CSPs interact with their customers, ensuring continuous service improvement and personalized experiences that foster long-term loyalty and growth. Building on the initial success of our data-driven NPS management solution, this proposal specifically focuses on enhancing network NPS. In the first phase, we established a robust foundation for using decision intelligence to improve overall NPS. For this second phase, we are introducing advanced AI and machine learning capabilities to further refine and strengthen our approach, particularly in the area of network satisfaction. Our enhanced solution will provide deeper insights into customer behavior and network performance, enabling real-time monitoring and proactive management of network issues. By leveraging these advanced technologies, we aim to not only react more quickly to customer feedback but also predict and prevent potential network problems before they impact the customer experience. This focus on network NPS will help CSPs achieve higher levels of network reliability and performance, ultimately leading to a significant boost in customer satisfaction and loyalty.

URN: C25.0.822

Project details

API monetization & dynamic pricing: Unlocking revenue with unified discovery

API monetization & dynamic pricing: unlocking revenue with unified discovery Introduction This TMF Catalyst project proposes a transformative approach to network service delivery by shifting from static to dynamic pricing for Quality on Demand (QoD) services. Leveraging real-time telecom APIs and an AI-powered portal with a GenAI chatbot, the solution guides developers and product owners in seamlessly integrating monetization features. This initiative empowers network operators to optimize resource allocation during peak demand while opening new revenue streams. Use Case Examples Ride-Sharing at a Packed Stadium: When a major event concludes, network congestion can delay ride-booking requests. The QoD API solution detects the surge and automatically allocates additional resources to ensure that ride-sharing apps operate reliably. Consumers enjoy a seamless experience, and operators maximize revenue during peak demand. Real-Time Gaming Competitions: In online gaming tournaments, high-volume data streaming is critical. The system enables gaming platforms to request enhanced QoS solely during the competition period, ensuring smooth gameplay without incurring the expense of permanent premium service. Premium Streaming for Live Events: During high-profile live broadcasts—such as a major show—millions of viewers expect uninterrupted service. A B2B collaboration allows content providers to trigger QoD services for a predetermined window, enabling CSPs to prioritize network traffic. This not only ensures flawless streaming but also protects brand reputation and creates additional revenue opportunities. Avionic Communications at Remote Airports: For critical communications between a remote airport’s dispatch and tower radios, even brief lags can be problematic. With real-time monitoring, the system can initiate an automatic, short-term price negotiation with dual CSPs to boost QoS instantly. This ensures reliable connectivity and seamless operational continuity. Key Components ============== AI-Driven API Portal: ===================== An intelligent portal, equipped with a GenAI chatbot, provides step-by-step guidance, best practices, and troubleshooting for developers and product owners. This user-friendly interface demystifies dynamic pricing, accelerating the adoption of QoD monetization APIs. Dynamic Pricing Engine: The pricing engine leverages real-time network intelligence, usage patterns, and pre-defined pricing strategies to determine the cost of QoS requests dynamically. This allows for adaptive pricing that aligns with current network conditions. Dynamic Network Quality Management: Utilizing real-time analytics, the system adjusts network performance on the fly. During periods of congestion, it prioritizes essential applications—such as ride-sharing, gaming, streaming, and critical communications—to maintain optimal service quality. Benefits Across the Ecosystem For End Users: Consumers receive reliable, seamless, high-quality network experiences during peak periods, ensuring that services such as ride-sharing, gaming, and streaming remain fast and responsive. For Communication Service Providers (CSPs): Operators can dynamically manage network resources, optimize revenue through intelligent pricing, and maintain robust service quality during high-demand events. Enhanced insights into network usage also pave the way for more efficient infrastructure investments. For Clients and Developers: A unified API framework paired with an AI-powered portal simplifies integration and accelerates the adoption of monetization features. This enables the rapid development of innovative applications and improves the overall customer experience by ensuring consistent, high-quality service delivery. Conclusion ========== This project proposal envisions a future where network service delivery is dynamically optimized to meet real-time demand. By prioritizing critical services through adaptive pricing and quality enhancements, the initiative not only elevates the end-user experience but also unlocks significant revenue opportunities for CSPs and value for partners. The integration of an AI-driven API portal catalyzes widespread adoption, setting the stage for a new era in telecom service innovation.

URN: C25.0.829

Project details

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