{
    "success": true,
    "data": {
        "id": 1813764,
        "msgid": "ionext-ai-introduces-ai-platform-to-accelerate-corporate-implementation-1781945527",
        "date": "2026-06-20 15:04:07",
        "title": "IONext.ai Introduces AI Platform to Accelerate Corporate Implementation",
        "author": "",
        "source": "ANTARA_ID",
        "tags": "",
        "topic": "Technology",
        "summary": "Indonesian AI cloud platform IONext.ai has launched a local AI platform designed to help domestic companies move beyond pilot projects and implement AI solutions at scale. The platform addresses key challenges such as infrastructure, data security, and cost efficiency, while offering access to open-source models like Qwen, DeepSeek, and Llama running on local infrastructure.",
        "content": "<p>Indonesian AI cloud platform IONext.ai (PT Data Awan Nusantara) has\nintroduced a local AI platform aimed at helping domestic companies\nimplement AI technology in their business operations more widely and\nsustainably.<\/p>\n<p>Co-founder and CEO Mohamad Fachri noted that many companies have\ndeveloped various AI solutions, but implementation often stalls at the\ntrial, demonstration, or proof of concept (PoC) stage and is not yet\nused extensively in daily operations.<\/p>\n<p>\u201cThrough IONext.ai, we want to help organisations move AI out of the\nexperimental phase and into a reliable, efficient, and ready-to-use\nsystem,\u201d Fachri said in a statement received on Saturday.<\/p>\n<p>He explained that the challenges of implementing AI in a business\nenvironment extend beyond model capabilities to include infrastructure,\ndata security, system stability, cost efficiency, and governance\ntailored to corporate needs.<\/p>\n<p>Through its platform, IONext.ai provides access to various open AI\nmodels such as Qwen, DeepSeek, and Llama, all running on infrastructure\noperating within Indonesia.<\/p>\n<p>The company views data security as one of the primary issues in\nenterprise AI adoption, particularly when public AI services are used to\nprocess internal documents, customer data, or sensitive business\ninformation.<\/p>\n<p>To address this, the company offers a service that allows\norganisations to access multiple AI models through a single application\nprogramming interface (API), while computation processes run on domestic\ninfrastructure, giving companies greater control over data location and\nmanagement.<\/p>\n<p>Fachri believes Indonesia needs to strengthen its AI implementation\ncapabilities in industrial settings so that the country does not merely\nbecome a technology consumer but is also able to build and operate AI\nsystems to support national business and industrial needs.<\/p>\n<p>\u201cIndonesia must not only be an AI consumer. We need to start building\nthe capability to implement AI in real environments, from infrastructure\nand deployment to utilisation that directly helps businesses and\nindustries,\u201d he stated.<\/p>\n<p>To support AI implementation at production scale, IONext.ai provides\nenterprise-class GPU infrastructure that can be used to build, train,\ntest, and run AI models.<\/p>\n<p>As part of the platform introduction, IONext.ai recently held the \u201cAI\nProduction at Scale Indonesia 2026\u201d event in Jakarta, bringing together\nindustry players, technology developers, and companies from various\nsectors to discuss AI implementation in production environments.<\/p>\n<p>During the event, IONext.ai also introduced two supporting platforms,\nIONA and Orbit. IONA is designed to help companies prepare and run their\nAI systems, while Orbit serves as an integrated workspace to assist\nteams in tidying data, training models, and launching AI systems.<\/p>",
        "url": "https:\/\/jawawa.id\/newsitem\/ionext-ai-introduces-ai-platform-to-accelerate-corporate-implementation-1781945527",
        "image": ""
    },
    "sponsor": "Okusi Associates",
    "sponsor_url": "https:\/\/okusiassociates.com"
}