{
  "id": 6601576,
  "title": "Dynamox brings artificial intelligence to predictive maintenance for industry",
  "url": "https://urgent.news/2026/08/27/dynamox-brings-artificial-intelligence-to-predictive-maintenance-for-6601576",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-27T22:24:54.000Z",
  "source": {
    "name": "Contxto",
    "slug": "contxto",
    "url": "https://contxto.com/en/brazil/dynamox-brings-artificial-intelligence-to-predictive-maintenance-for-industry/"
  },
  "original_language": "en",
  "account": "Dynamox, a Florianópolis-based startup founded in 2016, is bringing artificial intelligence to predictive maintenance for industries. The company's innovative approach addresses the challenge of detecting potential equipment failures early, without exposing workers to risks associated with manual inspections. Dynamox's technology begins with wireless vibration sensors, which are then integrated into a platform that combines hardware, software, and data with artificial intelligence.\n\nThe predictive maintenance market in Latin America was valued at approximately US$1.5 billion in 2025 and is projected to reach US$11.2 billion by 2033, growing at a compound annual rate of 29.4% between 2026 and 2033. Dynamox launched its first generation of wireless vibration sensors in 2018, aiming to reduce maintenance risks and costs while ensuring worker safety.\n\nThe company has expanded its product lineup beyond vibration and temperature sensors to include thermography, current, and voltage sensors. Dynamox's platform processes around 2.5 billion data points daily, and the firm has already produced more than 360,000 sensors, employing over 400 people across more than 40 countries.\n\nA key aspect of Dynamox's strategy is turning the vast amount of data collected into actionable insights. Their predictive maintenance system doesn't just issue alerts when an indicator exceeds a threshold but analyzes historical data to identify patterns and anticipate potential failures. This approach is crucial in industries like mining, energy, oil and gas, manufacturing, and agriculture, where unexpected disruptions can lead to significant production losses.\n\nDynamox has also grown through strategic acquisitions. In 2023, it acquired Enging, a company specializing in current and voltage analysis for electrical faults, expanding its capabilities in detecting electrical issues. In 2026, Dynamox acquired Crave Industry, a data platform and artificial intelligence specialist, to integrate physical asset monitoring with production processes. These acquisitions enable Dynamox to focus on specialization rather than attempting to develop all capabilities in-house.\n\nIn 2026, Dynamox introduced Cowork, a multi-agent AI platform that analyzes collected data, generates reports, and helps prioritize alerts. Cowork acts as a conversational AI system, facilitating communication between analysts, managers, and process teams and ensuring everyone speaks a common language. The company holds several information security certifications, demonstrating its commitment to data security. Dynamox's approach illustrates the future of industrial sectors: hardware sensors, software platforms, and artificial intelligence working together to prevent machine failures before they occur.",
  "summary": "An industrial machine can begin to show signs of wear long before it stops working. The challenge for companies isn't necessarily detecting that something is wrong, but doing so in a timely manner without exposing workers to running equipment and without relying on manual inspections every few weeks. That was the problem identified by Dynamox, […]",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "Contxto",
        "title": "Dynamox brings artificial intelligence to predictive maintenance for industry",
        "url": "https://urgent.news/2026/08/27/dynamox-brings-artificial-intelligence-to-predictive-maintenance-for",
        "published": "2026-08-27T22:24:54.000Z"
      }
    ]
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}