【Features】 1. Balancing security and high performance 2. Optimization tailored to specific businesses and industries 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 created our own deep learning framework in C language in 2014. We began developing AI systems for major company N in 2017. Since then, we have developed numerous AI systems in fields such as manufacturing and healthcare. In 2016, we won the first Artificial Intelligence Hackathon at Media Workshop. In 2018, we received 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.

Prices will be provided on a case-by-case basis. PoC and small-scale verification: from several hundred thousand yen. Full development including business system integration: 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 content. We will propose the optimal configuration tailored to your requests, operational conditions, and implementation form.

LLFarM - SLM/LLM

【Uses】 1) Internal Inquiry Response It can be utilized as an internal assistant to quickly answer questions from employees and responsible parties by referring to 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, which have many specialized terms and unique rules, it can provide high-precision support that reflects 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 Enhancement It can be utilized for the efficiency of daily operations and decision support through document summarization, classification, search, response generation, and knowledge utilization.