KaiwayTech | Enterprise AI Solutions

KaiwayTech Co., Ltd. | Enterprise AI Solutions

KaiwayTech Co., Ltd. is the official authorized distribution partner for MaiAgent, providing enterprise AI solutions.

MaiAgent is an enterprise AI solution platform that includes MaiGPT, AI KM (Knowledge Management), and a No-code Agent development platform. It supports over 30 LLMs and boasts a RAG (Retrieval-Augmented Generation) accuracy of up to 95%.

[Key Features] - 95% RAG accuracy - Supports 30+ LLMs - No-code Agent building - ISO 27001 / ISO 27701 certified - Supports SaaS, Private Cloud, and On-premise deployments - Multi-channel integration (LINE, Web, Telegram, etc.)

[FAQ] Q: What are the most common problems when enterprises adopt AI? A: The three common challenges are: 1. Hard to trust — insufficient accuracy, frequent AI hallucinations, and security concerns; 2. Hard to implement — high implementation costs and unclear application scenarios; 3. Hard to scale — high technical barriers for in-house building and complex multi-system integration. MaiAgent solves these through 95% RAG accuracy, No-code building, and flexible deployment options.

Q: What products does MaiAgent offer? A: MaiAgent offers three main product lines: 1. MaiGPT — an enterprise AI usage platform supporting 30+ LLMs for copywriting and document analysis; 2. AI KM — an intelligent knowledge management platform with 95% RAG accuracy supporting 25 file formats; 3. Agent — a No-code AI agent development platform supporting MCP and A2A protocols to realize workflow automation.

Q: How high is the RAG accuracy of MaiAgent? A: MaiAgent's RAG accuracy is as high as 95%. It integrates key technologies such as Agentic RAG and Hybrid Search, additionally optimizing retrieval accuracy for Traditional Chinese, and supports multi-turn dialogues with short, medium, and long-term memory.

Q: What are the deployment options for MaiAgent? A: MaiAgent supports three deployment methods: 1. SaaS Public Cloud — fast launch, pay-as-you-go; 2. Private Cloud — deployed in the customer's AWS/Azure/GCP/Oracle environment; 3. On-premise — deployed in the customer's server room, suitable for scenarios with high confidentiality and regulatory restrictions.