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

AN L4 Digital Twin ensures maximum service reliability

Service is revenue. Better service is better revenue. Reliable service is reliable revenue. High service reliability has always been the key to success for CSPs and the telco industry as a whole, yet even minor configuration errors can trigger network-wide failures, causing severe revenue losses. IP network failures often escalate to core service outages, while massive-scale device connections exacerbate operational complexity. Statistics reveal that 70% of global IP incidents stem from human configuration errors, exemplified by an operator making 6,000 annual manual changes with 10+ human-induced errors and outages yearly. Exponential growth in CSP network complexity drives hundreds of annual configuration changes, with single IP devices handling ~600K configuration lines. Manual analysis remains prevalent, causing inefficiency, human dependency, and most importantly it simply cannot fully mitigate the risks. Therefore, relying on human intervention is destined to become obsolete. With our solution, CSPs can pre-emptively identify misconfigurations and service impacts, eliminate human-induced network failures, have a much faster network change process, reduce reliance on 5+ year-experienced O&M staff. This alleviates executive concerns about network change accidents which has been a long-standing issue. Zero-Accident Guarantee: Pre-emptive identification of misconfigurations and service impacts, reducing network change risks. Intelligent Verification: Automated network-wide analysis of routing and traffic changes, replacing error-prone manual checks. Real-Time Emulation: A digital twin mirroring live networks to test changes virtually, eliminating the need for multi-day physical monitoring. Operational Efficiency: Accelerated testing/troubleshooting and reduced resource costs via lightweight, high-precision simulation. By shifting from reactive to proactive operations, this solution empowers CSPs to execute network changes confidently while safeguarding service continuity.

URN: C25.0.828

Project details

AI-powered end-to-end solution for customer experience

According to McKinsey, contribution of network experience for customers choosing their network provider or churning is close to 20%. Advancements in AI empower telecom operators to better understand individual customers' network experiences, enabling ROI-maximizing capital allocation and improved reliability. The challenge lies in comprehending usage patterns and connectivity performance from the end-user's perspective, all while optimizing network quality and customer satisfaction within the economic constraints faced by CSPs. To address this challenge, we will collect anonymously real customer connectivity insights 24/7 from end-user devices. To address privacy concerns, we introduce DePIN mechanism, which gives reward for end users. Our data collection methodology is the most sustainable way to collect network performance and quality data tied to real customer experience. It is lightweight and has a very marginal impact on users’ data plan and on the radio access network in terms of added traffic load and energy consumption. Collected insights are correlated with network-based data from access networks, transport layers, and core infrastructure to create an end-to-end holistic view of service delivery. Typical cases include strategic investment planning, proactive quality improvements, cloud diagnostics, and accelerated customer complaint resolution. The AI/ML-powered system automatically identifies performance bottlenecks, detects emerging trends, prioritizes issues based on customer impact severity and makes recommendations. To assure maximum accuracy and extreme automation we applied Digital Twin artefact contributing toward Autonomous Networks Level 4 and for cases where human decision is needed, we provide intuitive GUI utilizing latest XR technology. By addressing connectivity issues proactively rather than reactively and shifting focus from network metrics to customer perception, CSPs can reduce churn, enhance customer satisfaction, and optimize network resources based on real-world usage patterns rather than theoretical models. Let’s bring the customer back into the centre of the CSP decision making by addressing proactively their connectivity issues!

URN: C25.0.845

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NeuroNOC: The self-healing network brain

CSPs face multiple challenges in network operations. These include long delays in diagnosing the root cause of faults and identifying the right solutions, making and rectifying unnecessary changes in the network, and an inability to be proactive in assurance. The net effect can be poor customer experience and inefficient operations. This Catalyst is developing a solution that combines and correlates all the relevant data in a common data layer to immediately identify the root causes of faults and potential solutions, and support intent-based service assurance. The common data fabric will aggregate data from alarms, performance, configs, topology, logs and results through a single pane of glass, using both predictive and generative AI to learn with minimal input from network experts. The solution can then recommend accurate, immediate, detailed and automated resolutions to network issues. The Catalyst is employing TM Forum best practices, including the Open Data Architecture and APIs. The team will directly measure the impact of the project by tracking how the resulting solution reduces costs and effort in level 1, 2 and 3 operations. The solution should also reduce the wastage resulting from incorrect or unnecessary changes to the network, time spent on service operating manuals and the poor performance of the network due to incorrect or sub-optimal configurations.

URN: C25.0.814

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AI-driven sustainable connectivity: Cutting emissions for higher impact

CSPs are expanding their digital infrastructure—and as they do, energy consumption continues to rise. This increases both operational costs and carbon emissions. This Catalyst addresses the urgent need to optimize energy use across network operations using AI, machine learning, and data analytics. The solution integrates an AI-driven analytics engine into the network management layer. It ingests telemetry data from power systems, equipment performance logs, and traffic patterns across both access and core domains. Using machine learning models, it detects anomalous energy use, forecasts load requirements, and dynamically adjusts network parameters—such as power modes, cooling profiles, and traffic routing—to minimize unnecessary consumption. These adjustments occur in near-real time, reducing operational overhead and extending the usable life of hardware. The solution follows TM Forum Open Digital Architecture (ODA) and Open APIs for modularity and interoperability. As a result, it supports modular deployment and seamless integration with existing OSS/BSS systems. Unlike traditional methods, this solution combines predictive analytics with intent-based automation. It supports smarter energy provisioning for both access and transport networks—reducing over-provisioning and unnecessary energy draw. CSPs gain a clearer view of their carbon footprint and can align energy-saving initiatives with broader sustainability targets. The business value is twofold: reduced energy and maintenance costs, and improved brand reputation through demonstrable sustainability leadership. In a market where environmental accountability increasingly influences customer and investor decisions, this Catalyst enables CSPs to lead by example. By embedding intelligent energy optimisation directly into operational workflows, CSPs can cut emissions, boost uptime, and reduce costs. Crucially, this Catalyst will demonstrate that they can do this without compromising performance. The aim is to show that sustainability isn’t just good governance—it’s a core driver of resilience and long-term growth.

URN: C25.0.770

Project details

InfraVerse: Breaking boundaries for XR sustainability

Telecom infrastructure deployment—especially for rooftop, in-building, and dense urban environments—remains slow, costly, and error-prone. Existing planning methods rely on static blueprints, fragmented site data, and repeated site visits, leading to rework, delays, and missed revenue opportunities. The InfraVerse Catalyst addresses this bottleneck by applying telecom-specific building information modelling (BIM) to digitize the physical deployment process. It integrates drone imagery, AI-driven insight extraction, and genAI automation to transform how CSPs plan, validate, and deploy high-performance infrastructure—particularly in hard-to-serve, high-value areas. The Catalyst combines drone-based data collection, AI, and generative AI (genAI) with a telecom-specific BIM platform. Drones capture detailed visual data. AI then processes this data to extract structural, spatial, and environmental insights. Next, genAI generates critical documents—like EMF assessments, technical drawings, and permit applications—reducing manual work and speeding up compliance. This solution allows virtual site inspections, improves design accuracy, and reduces unnecessary travel. Teams collaborate more effectively using a unified digital model, streamlining deployment and cutting costs. CSPs can plan with greater precision, optimize equipment placement, and deliver stronger indoor and outdoor coverage. The system is scalable and sustainable - it enables energy-efficient design, lowers emissions, and helps meet green building standards. With fewer design errors and faster approvals, CSPs can deploy infrastructure faster, at lower cost, and with better quality control. The InfraVerse Catalyst helps CSPs break free from slow, reactive builds—replacing outdated planning with intelligent, digital-first workflows. The shift brings sharper accuracy, faster deployments, lower costs, and sustainability gains that can’t be ignored. It’s not just better planning—it’s a smarter path to market and a stronger, greener foundation for the networks of tomorrow.

URN: C25.0.802

Project details

Growing B2B with autonomous agents

CSPs worldwide are looking to B2B as the driver of growth, enabling them to capture new revenue by supporting the digital transformations of business customers. But serving the midmarket – where the largest number of customers can be found – is a challenge. 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. We are creating a scalable platform that not only streamlines deployment but also provides a flexible base for future enhancements through integration of additional components and capabilities, built to align with the ODA in a Box principle. The catalyst also leverages Model Context Protocol (MCP) as a common communication mechanism between both ODA canvas and AI agents, providing a future-ready, modular, telco-grade foundation for the agentic solution. Unlock profitable growth from the B2B midmarket * Faster time to implement Faster to deploy, scale and enhance through support for the ODA in a Box approach * Improved customer satisfaction Give midmarket B2B buyers a customer driven, agile and flexible commerce experience * Increased deal capacity Using genAI and automation to profitably serve more customers

URN: M25.0.797

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AI-powered network optimization with large models and smart hardware

This groundbreaking project integrates AI large models and cutting-edge intelligent hardware to revolutionize wireless network optimization. By leveraging large language models, intent analysis, twin maps, and 3D simulation, it delivers an end-to-end intelligent solution encompassing problem detection, in-depth analysis, efficient resolution, and post-optimization evaluation. It introduces three fundamental shifts in wireless optimization: transitioning from performance-driven approaches to a perception-first model that prioritizes user experience; shifting from a purely network-centric perspective to a balanced focus on both users and business needs; and evolving from isolated issue resolution to a comprehensive optimization strategy that targets key areas, specific scenarios, and core user experiences. The project pioneers several innovations. AI-powered intent recognition interprets user complaints and feedback, enabling precise problem identification. Grid-level analysis, supported by intelligent hardware, goes beyond traditional KPIs to provide detailed, real-time insights into network performance. A dynamic switching algorithm enhances network efficiency by optimizing parameters in real time. Additionally, 3D simulation-based post-evaluation facilitates accurate predictions and validation of network improvements before deployment.

URN: C25.0.841

Project details

Digital Twin acceleration: Automate ODA Framework adoption using enterprise architecture tools

Enterprise architecture tools can help to unlock the value of the TM Forum’s Open Digital Architecture (ODA). But CSPs need straightforward ways to import certain functional blocks and components from the ODA catalogue into an EAM enterprise asset management (EAM) tool. This can be a time-consuming task involving manual interpretation of documents and creation of components in the EAM tool or the conversion of files into intermediary formats compatible with the EAM. The first phase of this Catalyst is harnessing APIs and AI to automate the import of functional ODA blocks and components. Using APIs enables CSPs to include more density in their models, allowing for cross-framework relations, for example. By eliminating the need for engineers to craft integration mechanisms themselves, the solution will remove a key obstacle to widespread adoption of ODA. This will help CSPs benefit from a vast amount of industry-created assets, ranging from the business process framework, through the framework and design principles of ODA, to the specifications for standardized plug and play software of components, canvas and open APIs. For CSPs, the net result should be faster deployment and adoption, fewer work hours required, more consistency in modelling and a base for high quality AI-inference. The output of the Catalyst should also make it easier for B2B2X partners to work with CSPs. “As a TM Forum active member, we get significant value from being able to automatically import the TMF reference frameworks, their inter-relations and to keep them updated as they evolve,” says a Project Champion at NOS. “We believe this can dramatically improve de facto member adoption, benefitting the whole ecosystem.” To assess its impact, the Catalyst will monitor the ability of the solution to create an object space that enables CSPs to perform enterprise architecture activities and develop reports, and support advanced use cases, such as AI-based querying. From a TM Forum standpoint, a key metric will be the number of successful framework integrations by members.

+10

URN: C25.0.781

Project details

Zero network outages using resilient automation

Major network accidents can result in huge economic losses and have a serious brand impact for CSPs. Such incidents can arise from network architecture corruption, increasing network scale and complexity and APT (advanced persistence threat) attacks. Failures in network security and resilience can lead to regulatory compliance issues, as well as serious business continuity issues, data breaches and millions of dollars in losses. Leveraging advanced technologies, such as AI and digital twins, this Catalyst is developing a comprehensive tool platform to enhance network resilience and address disruptions for operators. The solution comprises two key components. The first component focuses on mitigating risks in network architecture. To identify vulnerabilities, it supports network blueprinting, simulation, analysis and optimization, enabling quick recovery and enhancing network performance. The second component focuses on risks related to network changes. Prior to implementation of the changes, the platform performs configuration verification, simulation and a deployment comparison to prevent disruptions. As the tool platform identifies network risks and configuration faults, operators can optimize the network, according to its suggestions, and reduce the number and impact of network incidents. In the event of a power failure, for example, the operator could switch all services to a redundant path, potentially preventing a prolonged outage that would affect million users. As well as boosting network resilience, the proposed platform should improve operational efficiency and security, ultimately enhancing brand reputation. CSPs AIS and HKT, which are Project Champions of the Catalyst, plan to use the platform to help build level four autonomous networks that are highly resilient and further their business development.

URN: C25.0.773

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NeuroNet orchestrator

Demand for faster, more efficient service delivery is intensifying. With this, traditional network orchestration struggles to keep up. Legacy processes silo teams, consume time, and introduce errors—stalling innovation and driving up operational costs. The NeuroNet Orchestrator Catalyst introduces an advanced orchestration framework that accelerates how CSPs design, deploy, and manage complex networks. This solution combines Accenture’s GenWizard, Pega’s Blueprint, and Qeema’s data intelligence to build AI-powered orchestration with real-time visibility and predictive control. Instead of replicating outdated workflows, the platform creates a new application workflows—automating service design, simplifying deployment, and streamlining operations using agnetic AI and agentic orchestration. Within days, CSPs can move from a legacy architecture to a production-ready, AI-enabled orchestration environment. Pega’s integrated AI blends with third-party models to deliver precognitive autonomy. It predicts provisioning needs, triggers corrective actions, and dynamically orchestrates virtual network processes (VNPs) and service chains (NSCs). Self-service portals offer agentic controls for engineers and customers, while redirecting to human support when needed. Real-time analytics from Qeema provide deep network insight, enabling proactive service assurance and performance optimization. The result is a dramatic shift in agility and efficiency. CSPs can shorten time-to-market for new services, increase automation across the network lifecycle, and reduce manual errors. Reuse of network assets improves total cost of ownership, while enhanced autonomy supports future-proof scalability. CSPs will see results through faster provisioning, improved uptime, reduced operational overheads, and stronger customer satisfaction. This Catalyst shows that orchestration no longer needs to be reactive and fragmented. With AI, blueprinting, and automation working in tandem, CSPs gain a unified framework that unlocks new levels of speed, flexibility, and control—transforming orchestration into a strategic capability for the next era of network services.

URN: C25.0.837

Project details

GenAI proactive customer care for 5G monetization

As 5G services evolve, customer care must advance in parallel to meet new expectations. Expectations are rising, and CSPs must deliver faster, smarter, and more personalized support. This Catalyst focuses on developing a genAI-powered contact center platform that uses 5G to deliver media-rich, real-time service across channels. 5G’s low latency enables the platform to support seamless communication—enabling high-quality video, voice, and data exchanges during support interactions. Combined with genAI, the system anticipates customer needs, initiates proactive outreach, and adapts the experience in real time based on individual behavior. When high-value users face issues, the platform can trigger proactive video sessions or suggest tailored upgrades. Teams can layer these directly into the ongoing customer experience. GenAI agents manage routine queries, while embedded AI assistants help live agents with real-time transcription, recommended replies, and compliance prompts. Meanwhile, omni-channel orchestration allows seamless switching between voice, WhatsApp, and video—maintaining context and continuity. To increase engagement, a digital human interface adjusts tone and appearance based on customer profile and preferences. The platform integrates with TM Forum ODA and uses standard APIs to connect smoothly with marketing, CRM, and service tools. Together, genAI and 5G power a new kind of customer care—faster, sharper, and always in tune with the service it supports. This Catalyst turns support into strategy, making personalized, real-time engagement a defining feature of next-generation networks.

URN: C25.0.813

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INFINITY: Unlocking revenue with APIs & dynamic pricing

What if your network could price itself, adapting to demand and opportunity in real time? The need for dynamic pricing and billing is driven by the diverse demands and evolving consumption patterns across our customer base. The main challenge of the existing pricing process is that it’s static in nature. CSPs have the opportunity to convert significant network spend into measurable, monetizable outcomes. We have a viable solution that can transform a deficit of dynamic pricing capability into a potential gain. The future is now. Telecom customers today expect personalized, high-quality service on demand, where CSPs have no suitable pricing model to satisfy the demand. Adding to this pressure, the swift evolution of cloud computing and AI is driving rapid innovation, forcing the telecom sector to adapt quickly achieving pricing agility. As a result, even after accounting for economic variations, yearly revenue growth has remained low, typically between 1-3%, highlighting the critical need for transformation. To stay competitive and unlock new revenue, CSPs must adopt dynamic pricing that aligns with real-time customer needs and network value. Customers are able to request Quality on Demand, and only pay for what they use, when they use it. Built on a foundation of proven TMForum APIs industry standards and with a customer-centric approach in mind, our innovative dynamic pricing capability highlights a potential for new revenue generation. Here’s how we’re making it happen: Our model runs through eligibility and technical viability checks, followed by collecting the real-time network telemetry, service location, time and other relevant attributes. By leveraging TM Forum ODA framework, CSPs are able to shift from fixed to dynamic pricing. This real-time adaptability provides a platform for ongoing growth within the telecom industry.Now CSPs can optimize their network capacity while delivering premium user experiences with TMF APIs. Our Dynamic APIs, available through CSP portals and marketplaces like ADUNA, are unlocked by a GenAI-driven chatbot, accelerating discovery and API adoption. This solution not only allows telecom to monetize but will transform pricing strategies across industries, from Satellite, IT, Smart Cities and NTN - reshaping how enterprises create and capture value. Key Benefits Unlocking primary benefits and innovative capabilities for CSPs result in 1. Enabling Dynamic Pricing 2. Generating New Revenue Streams 3. Optimizing Costs 4. Accelerating Dynamic Pricing Model Adoption via AI Conclusion CSPs hold untapped potential, variable demand, and avenues for revenue generation. Conventional pricing models often fail to adapt to these dynamics. To effectively leverage short-lived value, a novel, real-time adaptive strategy—dynamic pricing—is crucial. This isn't just an idea; it's a monetization model built for agility, speed, and scale. It transforms your network from a cost-center into a responsive intelligent profit engine. No more dormant bandwidth. No more lost revenues. Static is over. Dynamic pricing isn’t just a new model, it’s a new mission! Infinity starts here.

URN: C25.0.829

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