MiTAC Agent Builder AI Station
Product Overview
MiTAC Agent Builder AI Station is an on-premises enterprise AI solution for building, deploying, and managing AI agents. It integrates AMD-powered computing hardware, the Agent Builder platform, and a library of pre-built AI agents into a single system, helping organizations overcome three major barriers to AI adoption: data leakage risks, tools that do not fit real workflows, and limited technical resources.
Designed for organizations that want to adopt AI without building a large in-house technical team, MiTAC Agent Builder AI Station includes ten ready-to-use agents across four categories: Smart Retrieval, Document Generation, Knowledge Advisory, and Decision Intelligence.
With multiple ways to build AI agents — from natural-language instructions to visual drag-and-drop orchestration — the people who understand the business best can get started in minutes. Through full on-premises deployment and deep hardware-software integration, enterprises retain sovereignty over their processes, data, and compute, keeping their most valuable know-how securely within the organization.
Keep Your Most Valuable Know-How in Your Own Hands
Product Presentation：MiTAC Agent Builder AI Station_2026
Product Brochure：MiTAC Agent Builder AI Station_2026
Explore how MiTAC Agent Builder AI Station can help your organization enter the Private AI Era.
Contact: AIComp@mitac.com.tw
Key Features
Keep Your Know-How
Turn business processes directly into AI agents. Keep organizational knowledge and sensitive data inside your environment, transforming valuable know-how into long-term digital assets that can be continuously accumulated and reused.
On-Premises, with Optional Cloud Flexibility
Run AI entirely on premises for highly sensitive use cases, including manufacturing BOMs, financial transaction data, and citizen data handled by public-sector organizations. When needed, organizations can still connect to cloud-based resources according to workload requirements and internal policies.
Secure and Governable AI Agents
Comprehensive audit trails and transparent usage records provide visibility into token usage, agent performance, and activity patterns. Every AI interaction can be monitored, traced, and governed.
Scale Flexibly Across Three Hardware Tiers
The same Agent Builder software stack is available across a mini AI workstation, a mid-tier AI workstation, and a large-scale AI server. Organizations can select the right configuration for different compute requirements and deployment scenarios without relearning the interface or rebuilding workflows.
Deep Hardware-Software Integration
Optimized end to end for AMD platforms, including Ryzen™ AI Max+ 395 and Radeon™ AI PRO R9700, MiTAC Agent Builder AI Station helps organizations address the common challenge of powerful hardware without software optimized to make full use of it, enabling more stable long-term AI operations.
Application Scenarios
Government and Public Sector
Central and local government agencies, state-owned enterprises, and organizations processing citizen data require strong data sovereignty, auditability, and compliance controls.
Financial Services and Insurance
Banks, securities firms, and insurance companies handle sensitive information such as customer transactions, insurance policies, and regulatory compliance documents that often cannot be sent to public cloud environments.
Manufacturing and Technology
Semiconductor, electronics manufacturing, and smart factory organizations need to protect BOMs, process know-how, engineering knowledge, and R&D data while adopting enterprise AI.
Corporate Headquarters and Professional Services
Enterprise groups, law firms, consulting firms, and healthcare organizations need to rapidly develop cross-department AI applications without building a large dedicated AI engineering team.
Core Capabilities
Core Capabilities
Build AI Agents Without Coding
Designed for Business Users and Developers Alike
AI-Assisted Creation through Natural Language
Describe what you need in plain language. AI automatically configures prompts, selects the appropriate tools, and assembles the workflow.
Start from Pre-Built Templates
Apply ready-made templates for common business scenarios, then fine-tune them as needed. Start quickly without building everything from scratch.
Structured Forms for Precise Configuration
Define parameters through guided forms with greater precision, supported by live preview for easier validation.
Visual Drag-and-Drop Canvas
Combine multiple agents through a visual canvas. Design, test, and deploy collaborative workflows on a single interface, just like assembling building blocks.
BI3 Decision Intelligence
Your 24/7 Private Data Analyst
Move beyond complex reports and uncover meaningful insights through natural-language interaction.
With no SQL or coding required, BI3 enables decision-makers to ask business questions in plain language. The system provides intelligent guided prompts to accelerate exploration, while dynamically generated charts and dashboards respond to each question in real time.
BI3 shortens the path from data to action, helping decision-makers focus their time on strategic priorities rather than report preparation and data interpretation.
A Three-Step Decision Flow
1. Ask in Natural Language
Ask a question such as:
“How do this year’s orders compare with the same period last year?”
BI3 translates the question into SQL, queries the underlying data source, and returns a visualized answer. Executives do not need to learn SQL or wait for analysts to prepare reports.
2. Investigate the Root Cause
Hybrid RAG can combine structured data with unstructured information, such as promotional calendars, weather data, and previous meeting notes, to analyze contributing factors and provide decision-support recommendations.
3. Stay Connected Beyond the Office
Future-ready integration with messaging tools helps decision-makers remain connected to key business insights, even when they are away from their desks.
Ready-to-Use AI Agents
Ten Agents Across Four Core Business Categories
Smart Retrieval
Office Q&A (RAG)
Search internal documents quickly using retrieval-augmented generation. Each response includes its supporting source for greater transparency.
Intelligent Web Search
Transform online search results into context-aware, usable insights instead of simply returning a list of links.
Document Generation
RFP / PRD Generator
Upload tender documents or product requirements. AI identifies key information, organizes the structure, drafts an outline, and supports document generation.
AI Slides Generator
Turn source documents into structured presentation content, accelerating the process of creating business-ready slides.
AI Lesson Plan Generator
Generate lesson plans and teaching materials with AI, significantly reducing preparation time.
Knowledge Advisory
Insurance Document Q&A
Ask questions about insurance-related documents and receive clear, accessible explanations.
Legal Advisor
Interpret regulations and legal clauses more efficiently, reducing the time required for compliance review.
Travel Planner
Organize travel-related information and generate planning recommendations based on user needs.
Decision Intelligence
BI3 Decision Intelligence
Ask business questions in natural language. BI3 generates SQL, retrieves relevant data, visualizes the results, and provides root-cause insights and recommendations.
Image Analysis
Analyze images with AI and extract structured information for business use.
AI Platform Operational Insights
Full Visibility into Your Agent Ecosystem
Gain a complete view of enterprise AI operations, from usage and performance to cost and activity patterns.
Usage Dashboard — Token Usage and Cost
Monitor overall token consumption and system load to better understand operational cost boundaries.
Agent Performance Analytics
Track invocation counts, average latency, and success rates for each agent in real time.
Activity Heatmap
Understand when departments use AI tools most frequently and which tools are becoming central to daily operations.
Three Hardware Tiers
Mini AI Workstation MiTAC CX1-395
- Processor: AMD Strix Halo with Ryzen™ AI Max+ 395
- Memory: 128 GB LPDDR5X-8000
- Total GPU Memory: Max. Share 96 GB
- Supported Model Scale: MoE 120B LLM
- Recommended For: Small-team AI assistant (~5 users)
Mid-Tier AI Workstation MiTAC BX1-9700
- GPU: AMD Radeon™ AI PRO R9700 × 2
- Memory: 256 GB DDR4-3200
- Total GPU Memory: 64 GB
- Supported Model Scale: Dense 32B / VLM 31B LLM
- Recommended For: Department-level AI assistant (10–15 users)
- Recommended Use: Multi-stream video recognition or fast image generation
Large-Scale AI Server MiTAC AX2-9700
- GPU: AMD Radeon™ AI PRO R9700 × 4
- Memory: 512 GB DDR5-5600
- Total GPU Memory: 128 GB
- Supported Model Scale: MoE 120B / Dense 70B LLM
- Recommended For: Cross-department use (~30 users)
- Recommended Use: Enterprise-wide AI backbone; rack-mounted, requires a data center environment
