Powerful,
Purpose-trained LLM, Solar
Solve your own business problems with super-human level intelligence
Move Fast with Solar
Prep your data to be LLM-ready, and ground your answers with RAG
Outspeeds
all market leaders
Versatile across domains and tasks
High-Tech, Low-Cost
Powerful
Track Records
Outperforms GPT4 with purpose-trained models
Cost-Effective Excellence
Comparing the Retraining Costs(Million KRW): Solar vs. GPT-3 30B
Comparing the Serving Costs($): Solar vs. Market Alternatives
High-Tech, Low-Cost
Cost-Effective Excellence
Comparing the Retraining Costs: Solar vs. GPT-3 30B
Purpose-Trained Use Cases
Healthcare
Developing a healthcare LLM to automate patient communication, personalize treatment plans, aid in clinical decision support and support medical transcription.
Customer support
Aims to enable business owners and companies to deploy generative AI chatbots on websites and mobile apps easily, providing human-like services in customer support and engagement.
Finance & Insurance
Offers a customized LLM environment tailored for the financial sector, addressing security concerns and the issue of hallucinations.
On-device
LG Gram
Partners with LG Electronics to deploy a large language model (LLM) on the Gram laptops to execute generative AI directly on end devices.
Math
AI-powered Qanda allows users to get answers and solutions from the photos of math or science problems they upload, facilitating an innovative approach to learning and problem-solving.
On-device
Polaris
Polaris Office to develop and commercialize the world's first on-device AI document software solution
Law
Partnered with LawTalk to develop a legal LLM specifically for the Korean legal ecosystem, processing case precedents and legal documents to support legal research and applications.
E-commerce
ConnectWave introduces a generative AI-based 'Private Large Language Model (LLM)' in the e-commerce industry, specialized in data security and hallucination prevention.
Media
Served an LLM that grounds answers with RAG covering over 80 million press documents accumulated over 30 years.
Purpose-Trained
Use Cases
Healthcare
Developing a healthcare LLM to automate patient communication, personalize treatment plans, aid in clinical decision support and support medical transcription.
Customer support
Aims to enable business owners and companies to deploy generative AI chatbots on websites and mobile apps easily, providing human-like services in customer support and engagement.
→
Finance & Insurance
Offers a customized LLM environment tailored for the financial sector, addressing security concerns and the issue of hallucinations.
Math
AI-powered Qanda allows users to get answers and solutions from the photos of math or science problems they upload, facilitating an innovative approach to learning and problem-solving.
E-commerce
ConnectWave introduces a generative AI-based 'Private Large Language Model (LLM)' in the e-commerce industry, specialized in data security and hallucination prevention.
Law
Partnered with LawTalk to develop a legal LLM specifically for the Korean legal ecosystem, processing case precedents and legal documents to support legal research and applications.
Media
Served an LLM that grounds answers with RAG covering over 80 million press documents accumulated over 30 years.
On-device
LG Gram
Partners with LG Electronics to deploy a large language model (LLM) on the Gram laptops to execute generative AI directly on end devices.
→
On-device
Polaris
Polaris Office to develop and commercialize the world's first on-device AI document software solution
→
Need more details? Reach out to us!
Task APIs
Chat
Use the Chat API to create a simple conversational agent with Solar. Function Calling is now supported: The way to connect LLM to external tools
Embeddings
Converts text into the embedding vector. The embedding vectors can be used for tasks such as retrieval and classification
Translation
Context-aware English-Korean translation that leverages previous dialogues to ensure unmatched coherence and continuity in your conversations.
Groundedness Check
Verifies whether the answers provided by the LLM are appropriately generated, based on the user's question and search results.
Text-to-SQL
Converts natural language queries into SQL, allowing users to easily access database information without needing to write SQL.
Coming soon
Components with Solar
Layout Analyzer
Make your documents LLM-ready effortlessly
RAG
Ground your answers with data
Groundedness Check
Double check your answers for (almost) zero hallucination
Unmatched Speed
Model Comparison with GPT-4 Turbo
Solar outspeeds all other market leaders without sacrificing its performance.
(Desktop Only)Ground your answers with RAG
Chat Document
Experience the difference yourself on our Playground
(Desktop Only)