AI startups in Indonesia are increasingly contributing to how Artificial Intelligence is applied across key industries, from finance to healthcare and cybersecurity. This shift reflects a broader pattern of applied AI solutions responding to local operational challenges within Indonesia’s digital ecosystem. On 16 December 2025 in Jakarta, Morning Pitch Asia Indonesia convened AI startups, corporations, and investors as part of this wider ecosystem context. Organized through a collaboration between KUMPUL and Deloitte Tohmatsu, the session provided a platform to observe how AI adoption in Indonesia is translating into sector specific implementation rather than standalone experimentation.

AI Adoption and Indonesia’s Digital Ecosystem

AI adoption in Indonesia continues to expand across business operations and daily activities, alongside uneven levels of digital readiness. A 2024 study by Amazon Web Services and Strand Partners reported that AI adoption in Indonesia grew by approximately 47 percent year on year, signaling wider integration of AI into analytics, operational efficiency, and service delivery. Complementing this, data from the Indonesian Internet Service Providers Association in 2025 showed that around 28.5 percent of Indonesians have interacted with AI based technologies.

These figures indicate growing exposure to AI within an emerging market context, while highlighting gaps in readiness across sectors and regions. Organizations adopting AI often face constraints related to infrastructure maturity, workforce capability, and regulatory and compliance considerations. This gap between adoption and readiness shapes how AI solutions are developed and deployed within the Indonesia AI ecosystem.

.Applied AI Solutions Across Key Indonesian Sectors
Within this landscape, Morning Pitch Asia Indonesia provided a snapshot of how applied AI solutions are being implemented across sectors. Four AI startups in Indonesia presented solutions grounded in specific industry needs.

• Lunash addressed financial services through an AI driven debt management solution serving banks, peer to peer lenders, multifinance companies, and debt collection agencies. The platform supports credit management and debt recovery processes using data driven analysis, reflecting enterprise AI adoption within regulated financial environments.
• Safelog.ai focused on workforce and compliance challenges by showcasing an AI powered employee background screening platform that combines intelligence scoring and crowd reporting features. The solution aligns with corporate needs around hiring integrity, compliance processes, and risk management.
• Tele Cexup Indonesia presented a healthcare focused solution integrating AI and Internet of Medical Things technologies. Its telemedicine and telemonitoring platform supports remote diagnostics and patient monitoring, including use cases designed to extend healthcare access beyond major urban centers.
• Peris.ai addressed cybersecurity through a scalable and automated platform delivering real time threat awareness and response. As digital infrastructure expands, such sector specific implementation responds to increasing demands for continuous monitoring and system resilience.

The solutions presented illustrate how AI startups in Indonesia navigate local market realities that differ from global deployment contexts. These conditions shape applied AI solutions that prioritize operational relevance over generalized capability. Rather than adapting global products with minimal localization, these startups demonstrate how AI adoption in Indonesia often requires alignment with infrastructure readiness, compliance requirements, and sector specific workflows.

Strengthening Indonesia’s AI Ecosystem Through Collaboration

Beyond product demonstrations, Morning Pitch Asia Indonesia facilitated networking and discussions among founders, corporate representatives, and investors. Positioned within the Indonesia AI ecosystem, the session reflected the role of ecosystem enablers in connecting early stage AI solutions with enterprise and investment stakeholders.

Through KUMPUL’s role as a facilitator, these interactions supported dialogue around collaboration opportunities, pilot initiatives, and sector specific adoption pathways. Such linkages contribute to strengthening enterprise AI adoption by aligning innovation with practical implementation needs across Indonesia’s digital ecosystem.

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