Key Technologies
Key Technologies
TECHNOLOGY 01
AutoAgentOps
AutoAgentOps



An innovative, automated AgentOps framework designed to help enterprises significantly reduce proof-of-concept (POC) timelines and costs, while ensuring seamless scalability at an optimized cost.
An innovative, automated AgentOps framework designed to help enterprises significantly reduce proof-of-concept (POC) timelines and costs, while ensuring seamless scalability at an optimized cost.
TECHNOLOGY 02
ScaleServe
ScaleServe



ScaleServe, our production-ready platform, cuts operating costs by efficiently serving AI models, enabling them to handle millions of input tokens, while routing queries to the most cost-effective models.
ScaleServe, our production-ready platform, cuts operating costs by efficiently serving AI models, enabling them to handle millions of input tokens, while routing queries to the most cost-effective models.
TECHNOLOGY 03
LongContext AI
LongContext AI



Our Long-context AI framework that can handle millions of input tokens are useful for long-document understanding for various domains, retrieval augmented generation, as well as multimodal understanding.
Our Long-context AI framework that can handle millions of input tokens are useful for long-document understanding for various domains, retrieval augmented generation, as well as multimodal understanding.
TECHNOLOGY 04
Long-Video understanding with LongContext AI
Long-Video understanding with LongContext AI



Our VideoRAG system, powered by LongContext AI, offers a 125X longer context window than base open-source model, and surpasses Gemini-Pro and GPT-4o in video understanding tasks.
Our VideoRAG system, powered by LongContext AI, offers a 125X longer context window than base open-source model, and surpasses Gemini-Pro and GPT-4o in video understanding tasks.
TECHNOLOGY 05
Query Router
Query Router



Query Router is a revolutionary solution that can reduce the API costs for customers using external language model APIs (e.g., GPT-4, Claude-3.5) by up to 90% without compromising response quality. It leverages small yet powerful open-source models (e.g., LLaMa-3.1 8B) and domain-specific models (e.g., AdaptLLM-Law) to improve both quality and cost-effectiveness. Moreover, it allows for custom routing model training, enabling more services to be provided.
Query Router is based on an optimal language model selection algorithm that uses a response quality prediction model for given queries, and this technology is patented by DeepAuto.ai. When a query is received, the Routing Engine projects it into a query-model cross-modal latent space, allowing for instant retrieval of the optimal model.
Query Router is a revolutionary solution that can reduce the API costs for customers using external language model APIs (e.g., GPT-4, Claude-3.5) by up to 90% without compromising response quality. It leverages small yet powerful open-source models (e.g., LLaMa-3.1 8B) and domain-specific models (e.g., AdaptLLM-Law) to improve both quality and cost-effectiveness. Moreover, it allows for custom routing model training, enabling more services to be provided.
Query Router is based on an optimal language model selection algorithm that uses a response quality prediction model for given queries, and this technology is patented by DeepAuto.ai. When a query is received, the Routing Engine projects it into a query-model cross-modal latent space, allowing for instant retrieval of the optimal model.
TECHNOLOGY 06
AutoEvolve
AutoEvolve



Our AutoEvolve system enhances large language models by refining their weights, improving performance without the need for traditional gradient-based training.
Our AutoEvolve system enhances large language models by refining their weights, improving performance without the need for traditional gradient-based training.