NATURAL LANGUAGE PROCESSING
Overview
In recent years, breakthroughs in deep learning, large language models (LLMs), and generative artificial intelligence (Generative AI) have injected new momentum into the NLP domain. While LLMs have achieved a high level of capability in reasoning and tool utilization, challenges such as hallucinations and potential errors remain. Enterprises therefore require AI systems that not only enhance productivity but also operate within controlled and manageable risk frameworks.TL has consistently focused on localized applications of natural language understanding and generation, emphasizing deep comprehension of local language and cultural context. We are committed to strengthening computers’ abilities to read, understand, and analyze large volumes of textual information. By integrating Generative Agentic AI technologies, we aim to enable collaborative creation and research between humans and AI, realizing a truly synergistic innovation model. In addition, we have developed conversational AI systems with multi-turn dialogue, knowledge reasoning, and question-answering capabilities. These technologies are applied across a wide range of scenarios, including enterprise task AI agents, AI voice agent, appointment scheduling agents, intelligent customer service support, virtual assistants, chatbots, and advanced text analysis and generation solutions. Looking ahead, we will continue to focus on the latest technological trends, driving innovation and adoption of intelligent industrial solutions to infuse more value into local businesses and societal development through AI empowerment.
NATURAL LANGUAGE PROCESSING
CORE TECHNOLOGY
- Enterprise Task AI Agent
- AI Voice Agent
- AI Reservation Agent
- AI Copilot for Human Agent
Enterprise Task AI Agent
AI Voice Agent
AI Reservation Agent
AI Copilot for Human Agent
NATURAL LANGUAGE PROCESSING
Application Status
Enterprise Task AI Agent:Integrating Agentic AI with multi-source data aggregation capabilities, users can simply input natural language queries or upload documents to automatically trigger task decomposition, data collection, summarization, and cross-verification. The system generates professional reports with clear evidence and traceable reference links.
Enterprise AI Legal Advisory Assistant：Move beyond complex keyword searches and extensive manual legal review. Through natural language dialogue, users can instantly obtain legal analyses supported by cited court judgments and verifiable reference links.
Enterprise AI Contract Review & Generation：Leverage your company’s accumulated legal expertise and corporate principles by enabling AI to generate and review contracts from your organization’s standpoint. Ensure consistency in contractual language, structure, and presentation, while facilitating knowledge transfer and enhancing negotiation efficiency.
Corporate Intelligence Investigation：Combining Agentic AI with professional investigative expertise, this solution automates the workflow of intelligence gathering, verification, and in-depth analysis. Applications include: ■ Enterprise KYC: Startup investment screening, partner/customer/vendor compliance checks, and risk assessment
■ Business Development: Identifying industry ecosystem dynamics and emerging opportunity trends
■ Competitive Intelligence: Monitoring competitor news, R&D activities, and patent developments
■ Business Development: Identifying industry ecosystem dynamics and emerging opportunity trends
■ Competitive Intelligence: Monitoring competitor news, R&D activities, and patent developments
AI Voice Agent：We developed core technologies for human-like voice conversation and interaction. By integrating with the telephone network, the AI can answer incoming calls or make outbound calls to complete assigned enterprise tasks. The technology is applied to digital human conversation, restaurant reservations, AI reception, medical appointment scheduling, equipment repair scheduling, and customer satisfaction surveys.
AI Reservation Agent: We developed an agentic AI system that allows users to simply state their reservation request. The AI agent can search online information, operate a web browser automatically, and place phone calls to stores to complete reservations. When unexpected situations occur, the AI can try alternative options and report the results to the user. This represents an innovative application in which AI proactively acts on behalf of the user to complete real-world tasks.
AI Copilot for Human Agent: We developed Agentic AI technology to help customer service agents respond quickly and train new agents more efficiently.
Quick Reply: Using fine-tuned LLM models, the system generates recommended responses from real-time conversations between customers and agents, helping agents reply faster.
KM Copilot: Leverages Retrieval-Augmented Generation (RAG) to establish an on-premises, enterprise-grade knowledge Q&A service, allowing agents to search answers in natural language.
Form Filling Copilot: Integrating real-time speech recognition, the system automatically extracts case information from conversations and completes service forms, reducing agent workload.
AI Trainer: Using multi-agent framework, AI plays the role of a customer to conduct practice conversations with new agents. The AI then provides performance summaries, scoring, and weakness analysis to shorten training time.