【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 developed our own deep learning framework in C language in 2014. We have been developing AI systems for major company N since 2017. Subsequently, we have developed numerous AI systems in fields such as manufacturing and healthcare. In 2016, we won the first Artificial Intelligence Hackathon at Media Factory. In 2018, we received a silver medal in the data analysis competition organized by the Japan Agency for Marine-Earth Science and Technology. In 2020, we won a bronze medal in the AI Edge Contest of the Ministry of Economy, Trade and Industry's data analysis competition.

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: ranging 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.

LLFarM - SLM/LLM

【Uses】 1) Internal Inquiry Response It can be utilized as an internal assistant to quickly answer questions from employees and personnel by referring to internal regulations, business manuals, product specifications, etc. 2) Customer Support Assistance It can be used to create response proposals and provide explanations 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 enables high-precision support reflecting domain knowledge. 4) Highly Confidential Operations It allows for the safe use of AI 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.