Medical-oriented SLM/LLM emphasis system

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LLFarM - SLM/LLM

last updated：Mar 16, 2026

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Secure and advanced diagnostic support with SLM and LLM.

In the field of healthcare, diagnostic support requires the protection of patient confidentiality and accurate diagnoses based on the latest knowledge. In particular, it is important to balance the improvement of diagnostic accuracy with the protection of personal information. Our SLM/LLM emphasis system achieves this balance by handling confidential information with a Local LLM (SLM) while also leveraging the high reasoning performance of a frontier LLM. 【Use Cases】 - Image diagnostic support - Patient interview support - Diagnostic report creation 【Benefits of Implementation】 - Improved diagnostic accuracy - Reduced risk of information leakage - Increased operational efficiency

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basic information

【Features】 1. Balancing security and high performance 2. Optimization specialized for the medical field 3. Support for fine-tuning and RAG 4. Flexible system configuration 5. Support unique to contract development 【Our Strengths】 Since shifting to Deep Learning in 2013, we developed our own deep learning framework in C language in 2014. Since 2017, we have been developing AI systems for major company N. Subsequently, we have developed many AI systems in fields such as manufacturing and healthcare. In 2016, we won the first Artificial Intelligence Hackathon at Media Workshop. In 2018, we won a silver medal in the Ocean Research and Development Agency Data Analysis Competition. In 2020, we won a bronze medal in the Ministry of Economy, Trade and Industry Data Analysis Competition AI Edge Contest.

Price information

Prices will be provided on a case-by-case basis. PoC and small-scale verification: starting from several hundred thousand yen. Full development including business system integration: starting from one million yen to several million yen. Fine-tuning, RAG construction, external API connections, and security requirement compliance will incur additional charges depending on the specifics. We will propose the optimal configuration tailored to your requests, operational conditions, and implementation form.

Price range

Delivery Time

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Applications/Examples of results

【Uses】 1) Internal Inquiry Support It can be utilized as an internal assistant to quickly respond to questions from employees and responsible parties by referencing internal regulations, business manuals, product specifications, etc. 2) Customer Support Assistance It can be used to create response proposals and provide explanation support for sales and support personnel based on FAQs, proposal materials, and past cases. 3) AI Systems for Specific Industries In fields such as manufacturing, healthcare, construction, and finance, where there are many specialized terms and unique rules, it can provide high-precision support reflecting domain knowledge. 4) Highly Confidential Operations It enables the use of AI with safety considerations while handling internal information and customer data that is difficult to share externally on the Local LLM side. 5) Business Automation and Advancement It can be utilized for improving the efficiency of daily operations and decision support through document summarization, classification, searching, response generation, and knowledge utilization.