Ontonics Lab Corporation
Update：2026/11/10
Industries
Main Industry
Artificial Intelligence (AI)
Main Product/Service
1. AI-Native Industrial Platform (Industrial AI-Native Platform)
2. Industrial AI Applications (Industrial AI Applications)
3. Industrial Knowledge Engine (Knowledge Engines for Industry)
4. Enterprise-Grade AI Governance & Security (Enterprise AI Governance & Security)
5. Implementation, Customization, Integration, and Training (Professional Services)
2. Industrial AI Applications (Industrial AI Applications)
3. Industrial Knowledge Engine (Knowledge Engines for Industry)
4. Enterprise-Grade AI Governance & Security (Enterprise AI Governance & Security)
5. Implementation, Customization, Integration, and Training (Professional Services)
The content above was translated by Ai
Founded Year
2026
Unified Business No.
62248132
Status
Active
Number of Employees
12
Total Paid-in
Capital
24,000,000 (NT$)
Location of Company
Taiwan
, Taipei City
Company names, registration status, legal representatives, founding years, paid-in capital, registered addresses, and other details are sourced from business registration records maintained by Taiwan’s Administration of Commerce, Ministry of Economic Affairs. Exit status includes Emerging Stock Board listings, M&A, and IPOs. Information on overseas expansion is self-reported by startups.
Note 1: FINDIT compiles company information from public and other sources for reference and does not serve as a point of contact for the companies listed.
Note 2: Some company profiles and product/service descriptions are translated using AI and provided for reference only. In case of discrepancies or ambiguity, the original text prevails.
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About the Company
Ontonics Lab Corporation is building the first native AI platform specifically designed for the process industry, transforming scattered factory data into real-time, explainable intelligence, thereby driving digital twins, predictive optimization, and autonomous operations. The company provides a unified data foundation, domain-specific AI models, and governance mechanisms, ensuring continuous return on investment in yield, quality, energy, and safety, and assisting manufacturers in accelerating their transition from AI-ready to AI-autonomous.
The content above was translated by Ai
