The BIG Programme:
Catalysing Corporate Innovation for GLCs and PLCs in Malaysia
The BIG Programme is strategically positioned to accelerate national development through the advancement of open and corporate innovation ecosystems. This transformative program serves as a dynamic catalyst, empowering corporations to transcend conventional innovation barriers - including organizational silos, resource constraints, and prohibitive R&D investments. BIG enables organizations to achieve sustainable growth while addressing evolving market demands in today's interconnected global landscape.
Programme Structure
Programme Timeline

WHO'S ELIGIBLE TO JOIN BIG?
Publicly Listed Corporations (PLCs)
Corporates with revenue > RM500 million
(e.g. Bursa Main Board Listed Companies)
Government-Linked Companies (GLCs)
Commercial entities where the Malaysian government holds a controlling stake
Minister of Finance (MOF) Inc. Entities
MOF Inc. owned companies with an operational revenue-generating agenda
BIG 2.0 Problem Statements



Telekom Malaysia
Problem Statement:
Fibre infrastructure plays a critical role in enabling reliable digital connectivity for the nation. However, external factors such as theft, vandalism, third-party excavation and construction activities, as well as pests may affect service reliability, increase operational costs and impact customer experience.
To strengthen network resilience and support more efficient management of fibre infrastructure at scale, TM is exploring innovative, data-driven solutions that can enhance network intelligence through predictive analytics, early fault detection and proactive monitoring.
Interested in Solution Providers in the following areas:
i. Network Analytics.
ii. Machine Learning.
iii. Predictive Models.
iv. IoT Monitoring.
v. Edge AI.
vi. Fault Detection.
vii. Smart Infrastructure
viii. Targeted sensing
ix. Geospatial intelligence
Sime UMW
Problem Statement: Aerospace CNC machining in Malaysia relies heavily on manual prove-outs, disconnected digital tools, and conservative machining parameters, leading to higher cost, increased risk, and slower innovation.
Sime UMW aims to develop an Advanced Closed-Loop Digital Manufacturing System which integrates CNC verification, machine simulation, machining optimisation, and live machine connectivity to enable first-time-right machining and continuous learning from real machine data.
SD Guthrie
Problem Statement: Large-scale estate operations lack integrated visibility and real-time insights across harvesting, labour management, asset utilisation, and overall operations.
This fragmentation leads to inefficiencies in productivity planning, cost control, maintenance scheduling, and strategic decision-making, undermining operational performance and profitability
Interested in Solution Providers in the following areas:
i. Mobile-enabled field data capture.
ii. IoT and telematics integration.
iii. Real-time data ingestion.
iv. AI/ML models for productivity, labour optimisation, and maintenance.
v. Centralised analytics dashboarding.
Pioneering Corporates






























