Project Asia Data, a leading consultancy focused on integrating data and Artificial Intelligence (AI) into business strategy, proudly recaps the recent participation of its Co-Founder, Koo Ping Shung, in the industry panel “Riding the Unicorn: Enterprises Implementing AI Startup Solutions.”
The event, jointly organized by AIMX Network and StartupX, convened thought leaders from venture capital, startups, and corporate strategy to explore how enterprises and AI startups can collaborate effectively to accelerate digital transformation.
Bridging the Gap Between AI Startups and Enterprises
The discussion delved deep into the strategic hurdles and pathways that define enterprise-startup collaboration in the AI era—especially within Southeast Asia’s fast-growing yet diverse innovation ecosystem.
Panelists joining Koo included Remi Choong (elev8.vc), Kisson Lin (Tanka), and Jian Ming (Moon Technologies), with Woei Yuan Seng from AIMX Network serving as moderator. Together, they offered a well-rounded perspective that blended strategic foresight, investment insights, and real-world startup experience.
The panel highlighted several actionable strategies for both startups and enterprises seeking to achieve scalable AI adoption:
Key Insights from the Panel
Reflecting on the discussion, Koo Ping Shung shared:
1. Getting the First Local Use Case
Establishing a successful local pilot project is crucial. It builds credibility, accelerates customer learning, and creates organic momentum through word-of-mouth advocacy.
2. Strategic Stakeholder Identification
Startups must pinpoint the right internal champions within large organizations—those empowered to drive pilot adoption and budget allocation.
3. Outcome-Driven Deployment
Enterprises should begin with clearly defined objectives and measurable KPIs before implementing AI solutions to ensure alignment with business impact.
4. Flexible Pricing and Customer-Centricity
The panel underscored the value of adaptive pricing models and maintaining open communication to co-create sustainable partnerships.
5. Scalability Readiness
Startups must ensure their infrastructure and supply chain are robust enough to deliver consistently once adoption scales.
6. Measuring Success from the Start
Even early Proof-of-Concept (POC) projects should be guided by quantifiable results to validate outcomes and strengthen stakeholder confidence.
“It was an invaluable dialogue that sparked meaningful exchange on how AI startups can better engage enterprises. The energy in the room reflected the growing urgency for practical frameworks—especially around local market validation and outcome measurement. The appetite for actionable AI adoption insights is stronger than ever.”
The enthusiastic participation and post-panel networking further demonstrated the industry’s readiness to embrace structured collaboration between startups, corporates, and investors—an ecosystem dynamic that lies at the heart of Southeast Asia’s innovation story.
Project Asia Data extends sincere appreciation to AIMX Network and StartupX, as well as Durwin Ho, Raymond Doraisamy, and Joyce Tay for hosting such a well-curated event. The session’s turnout and engagement reaffirm the growing commitment of enterprises and innovators to build a thriving AI-powered future together.
About Project Asia Data
Project Asia Data (https://projectasiadata.com/ ) specialises in delivering AI-driven solutions to enable businesses to thrive in a rapidly changing world. By focusing on people, product, process, and positioning, Project Asia Data helps organisations harness the power of AI to innovate, optimise, and excel.