
Research
At APMIC, we are committed to advancing AI technology through research and innovation, with a strong focus on private Large Language Models (LLMs) and Fine-tuning. Our mission goes beyond developing customized AI solutions for businesses; we strive to make our research accessible to the public, simplifying complex AI concepts into powerful, bite-sized tools that anyone can leverage effectively.
APMIC Launches New On-Premises AI Platform PrivStation to Help Enterprises Build Legally Compliant and Specialized Models
Sep 17, 2025
APMIC announced the launch of PrivStation, a new on-premise AI solution designed for highly regulated sectors such as government, finance, and manufacturing. The platform helps enterprises build customized models while strengthening privacy and compliance. In 2024, APMIC achieved 119% revenue growth and surpassed 1,100 enterprise clients, continuing its expansion into global markets.
APMIC’s “PrivModel Multimodal Fine-Tuning and Distillation Solution” fully supports gpt-oss, improving accuracy by 40% and reducing inference costs by 90%.
Aug 19, 2025
APMIC announced that its PrivModel fine-tuning and distillation solution now supports OpenAI’s gpt-oss models, enhancing enterprise performance and cost efficiency. The company also appointed senior GPU expert Ian Chen as President of U.S. operations, strengthening its North American presence and driving the secure deployment of privatized AI.
APMIC and CyCraft jointly launched XecGuard, the industry’s first defense-oriented AI security module.
Jul 1, 2025
APMIC announced a strategic partnership with leading cybersecurity company CyCraft to launch two innovative solutions designed for AI defense: the XecGuard security enhancement module and the Safety LLM security evaluation service.
APMIC × Twinkle AI|Three Traditional Chinese Reasoning Dataset Packs Now Open Source|Building Taiwan’s Strongest LLM Corpus
May 7, 2025
APMIC has partnered with the Twinkle AI community to launch a dataset development project, creating three major Traditional Chinese reasoning datasets. These datasets comprehensively cover mathematical logic, everyday reasoning, and tool command applications.

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