Platform services by use stage
maum.ai divides its platform into Builder, Simulation, and Customized service, and presents items such as data preprocessing, AI API workflow, chatbot, AI Human, information retrieval, AI training, and consulting.
마음AI is a Physical AI platform offering enterprise conversational AI, voice, vision, and robotics services, with free use, usage-based pricing, and custom consulting.

마음AI is introduced as a Physical AI platform, and the homepage explains that it aims to improve work automation and enterprise productivity based on SUDA, MAAL, WoRV, and BODA. The product lineup is divided into modules and services responsible for conversation, perception, movement, and task execution.
Looking at the pricing information together with the product introduction, maum.ai offers a platform service composed of Builder, Simulation, and Customized service areas, as well as enterprise deployment formats such as an on-premise LLM, voice conversational AI, robotics modules, and a vision-language model kit. The maumGPT screen also shows an enterprise GPT usage flow for industry and domain chatbots, including search results.
maum.ai divides its platform into Builder, Simulation, and Customized service, and presents items such as data preprocessing, AI API workflow, chatbot, AI Human, information retrieval, AI training, and consulting.
The pricing guide explains free usage allowances for TTS, STT, GPT, and STF when using Orchestra, followed by usage-based billing, allowing teams to consider both initial trials and operational use.
The homepage emphasizes Physical AI built by combining BODA, SUDA, WoRV, and MAAL, and explains their roles in perceiving the world, conversing, moving, and performing tasks.
The maumGPT screen shows an enterprise GPT separate from external GPT, responses that include search results, and industry/domain chatbot features that incorporate expert opinions.
The product introduction presents an on-premise LLM appliance, a voice conversational on-device AI, an E2E VLA robotics module kit, and a vision-language model kit.
In addition to fixed-price options, the pricing page guides users to custom service paths such as enterprise consulting, AI Training, AI Consulting, and Maum Academy.
Teams that want a central entry point for enterprise GPT can use maumGPT to ask domain-specific questions and review search-backed answers in an internal-facing chat workflow.
Organizations evaluating AI operations can use the pricing page to compare Builder, Simulation, and Customized service paths before deciding whether to start with free usage or paid model consumption.
Companies that need local control over language models can consider the on-premise LLM appliance described on the homepage, which is positioned for use inside the company network.
Projects that combine perception and action can use the E2E VLA Robotics Module Kit or Vision Language Model kit for device and robot scenarios such as agricultural equipment, service robots, cameras, and IoT devices.
Businesses deploying physical service points can look at AI Human, voice bot, and barrier-free kiosk examples shown on the homepage for conversational assistance and site operations.
마음AI offers free use, paid usage-based billing, and a custom consulting flow on its website and pricing page. Detailed usage conditions vary by service type.
The pricing information shows a platform structure divided into Builder, Simulation, and Customized service, and it includes MaumDATA, Maum Orchestra, Maum Chatbot, AI Human(M3), AI Service, AI Training, AI Consulting, and Maum Academy.
maumGPT is described as a chatGPT for industries and domains that includes search results and expert opinions, and it is introduced as an enterprise GPT. A screen is shown for an internal business chat environment separate from external GPT.
Based on the pricing and product introductions, the lineup includes TTS, STT, GPT, voice bot, AI training, on-premise LLM appliance, voice conversation on-device AI, robotics module kit, and vision language model kit. However, the provided materials do not include documents for individual connector services or API integration.