Innowave Tech Advances Manufacturing AI Adoption at ITAP 2026

We brought a clear priority to Industrial Transformation ASIA-PACIFIC (ITAP) 2026: helping Singapore’s small and medium-sized enterprises (SMEs) turn industrial AI into practical progress on the factory floor. Held on 21–22 October at Suntec Singapore, the event provided an opportunity to share our technology and discuss how manufacturers can take their next step in AI adoption.

On the first day, we welcomed Gan Siow Huang, Minister of State for Foreign Affairs and Energy, Trade and Industry. On the second day, we welcomed Shawn Huang, Senior Parliamentary Secretary for Finance and Manpower. Their visits gave us an opportunity to introduce our work and discuss practical applications of AI in manufacturing.

We thank everyone who visited our booth, spoke with our team and shared their manufacturing priorities.

Innowave Tech’s advanced AI is already used by global semiconductor multinational companies. We want to bring the experience behind those deployments to more Singapore SMEs, helping local manufacturers apply industrial AI to the operational challenges that matter most to their businesses.

Semiconductor manufacturing places demanding requirements on quality, process consistency and equipment reliability. Working in that environment shapes how we approach AI: with close attention to production conditions, the quality of available data and the needs of the people who operate the process.

For an SME, the value lies in applying that depth of experience at an appropriate scale. A focused solution to a recurring inspection or equipment problem can provide a practical starting point. The technology should fit the manufacturer’s operations, resources and priorities, with a clear basis for deciding whether to expand.

Our focus is on making the path to adoption clearer. That starts with understanding a manufacturer’s challenge, identifying a suitable use case and defining what a useful result would look like. Quality inspection and predictive maintenance offer concrete areas to explore, with goals such as more consistent inspection or earlier attention to developing equipment issues.

A successful introduction also depends on the people who will use the solution. Engineers and operations teams bring the process knowledge needed to assess results, understand exceptions and determine how AI should support daily decisions. Their involvement helps connect technical capability with everyday production needs.

By starting with a defined problem and evaluating results in the relevant operating conditions, SMEs can build confidence before extending AI to additional applications. Our aim is to accelerate that progression from interest to informed adoption and, where the results justify it, wider use.

Our selection for Enterprise Singapore’s Catalytic AI programme supports this focus on bringing industrial AI to Singapore businesses. We see it as an opportunity to help more local manufacturers assess where AI can make a useful contribution and take a practical first step.

The Singapore Manufacturing Federation, an appointed programme partner, provides a pathway through workshops, advisory support and adoption of approved AI solutions. Eligible companies can receive up to 70% funding support, subject to the programme’s requirements and approval.

Singapore SMEs considering AI for quality inspection or predictive maintenance can contact us to discuss their operational challenges, assess potential use cases and learn about the programme and available support. We look forward to helping more local manufacturers put advanced industrial AI to work.