Jakarta, INTI - IONext.ai, an Indonesian cloud-based artificial intelligence (AI) platform, has introduced a local AI solution designed to help businesses adopt AI technologies more broadly, securely, and sustainably in their daily operations.
IONext.ai Co-founder and CEO Mohamad Fachri stated that while many companies have developed AI solutions, their adoption often remains limited to pilot projects, demonstrations, or proof-of-concept (PoC) stages.
“Through IONext.ai, we aim to help organizations move AI beyond experimentation and transform it into reliable, efficient, and production-ready systems,” Fachri said.
According to him, the challenges of AI implementation extend beyond the capability of AI models. They also involve infrastructure readiness, data security, system reliability, cost efficiency, and governance frameworks tailored to business requirements.
Providing Indonesia-Based AI Infrastructure
IONext.ai offers access to various open-source AI models, including Qwen, DeepSeek, and Llama, operating on infrastructure located within Indonesia.
The platform enables enterprises to develop AI-powered solutions for document processing, data analysis, image and video processing, as well as business process automation.
The company also provides a service that allows organizations to access multiple AI models through a single application programming interface (API).
By processing data domestically, businesses can maintain greater control over where their information is stored and managed.
Data protection has become a key priority for the platform, as many organizations remain cautious about using public AI services to handle internal documents and sensitive business information.
Strengthening Indonesia’s AI Independence
Fachri emphasized that Indonesia must strengthen its AI implementation capabilities to ensure the country becomes not only a consumer of AI technologies but also capable of building and operating its own AI systems.
“Indonesia should not merely become an AI consumer. We need to develop the capabilities to deploy AI in real-world environments, covering infrastructure, implementation, and practical applications that directly support businesses and industries,” he said.
To support AI deployment at production scale, IONext.ai provides enterprise-grade GPU infrastructure that can be utilized to develop, train, test, and run AI models.
As part of its platform launch, IONext.ai hosted the “AI Production at Scale Indonesia 2026” event in Jakarta, bringing together industry players, technology developers, and companies from various sectors.
During the event, the company also introduced two supporting platforms, IONA and Orbit, designed to help enterprises prepare, train, and deploy AI systems through a more integrated approach.
Conclusion
By providing locally operated AI infrastructure, enterprise-grade GPU capabilities, and integrated AI platforms, IONext.ai aims to accelerate AI adoption in Indonesia. The initiative reflects the country’s growing ambition to strengthen its technological independence and transform AI from experimentation into real-world business solutions.
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