Automate with AI Agent Teams
Multi-model (Claude, Codex, Grok) + isolated agents + flow automation to transform your business.
Build role-based independent agent teams and automate complex workflows with node-based pipelines.
- 70%
- Average Time Saved
- 3+
- Multi-Model Support
- N
- Concurrent Agents
3 Service Models
Build agent teams with the optimal approach for your business scale and requirements
- Agent Team Building
Design optimal teams with role-based independent agents using multi-models (Claude, Codex, Grok).
- Role-based independent agents
- Optimal model per task
- Independent subscription & rate limit
- Agent Flow Design
Automate complex workflows with node-based pipelines (LLM→Agent→Human→Output).
- Node-based flow builder
- Human-in-the-loop review
- Repeatable execution & flow saving
- Workspace Delivery
Build and deliver an in-house agent operating environment based on Marblo.
- Kanban board + real-time management
- Code viewer + multi-terminal
- Real-time PM feedback injection
Diverse Use Cases
AI solutions as part of your agent team, tailored to your industry and business needs
- Task Automation Agent
As part of the agent team, automatically handles repetitive tasks to maximize productivity.
- Document creation and data entry automation
- Schedule management and reminder sending
- Report generation and analysis
- Marketing Automation Agent
As part of the agent team, automatically plans and executes personalized campaigns.
- Customized content creation per customer segment
- Email/SMS campaign automation
- Performance analysis and optimization suggestions
- Sales Support Agent
As part of the agent team, supports the entire sales process from leads to deal closure.
- Lead scoring and prioritization
- Automatic follow-up and consultation booking
- Proposal and quote generation
- Customer Service Chatbot
As part of the agent team, responds instantly to customer inquiries 24/7.
- Natural language understanding and context awareness
- Multi-language support (KR/EN/JP/CN)
- Complex inquiries transferred to agents
- Internal Document RAG System
As part of the agent team, searches and answers from internal guides in knowledge-intensive fields.
- Vectorization and search of vast internal documents
- Accurate source citation and references
- Continuous learning and updates
- Data Analysis Agent
As part of the agent team, analyzes data and automatically derives insights.
- GA4, BigQuery data analysis
- Trend and anomaly detection
- Automatic report and dashboard generation
Agent Team Building Workflow
Systematic process from task analysis to workspace delivery
- 01
Task Analysis & Decomposition
Analyze business goals and auto-generate task DAG
- 02
Agent Team Design
Assign optimal models (Claude, Codex, Grok) by role
- 03
Flow Building & Testing
Design node-based pipelines and test with real scenarios
- 04
Workspace Delivery & Operations
Deliver workspace with dashboard monitoring environment
System Architecture
Input → Orchestrator → Agent Team → Human Review → Output
Tech Stack
Core technologies for multi-model agent teams and flow automation
- Agent
- Claude Code (Anthropic)
- Agent
- Codex (OpenAI)
- Agent
- Grok (xAI)
- Protocol
- MCP (Model Context Protocol)
- Platform
- Marblo
- Runtime
- Node-PTY
- AI
- Vector DB + RAG
- Automation
- Flow Engine
Core Features
- Isolated agents (independent subscription & rate limit)
- Multi-model optimal routing per task
- Node-based flow builder
- Real-time kanban board
- Real-time PM feedback injection
- Enterprise-grade security
Frequently Asked Questions
- How long does an AI agent build take?
- Typically 8 weeks (4 PoC + 4 settlement). Can range 4-12 weeks by complexity. The free diagnostic workshop produces an exact estimate.
- What tech stack do you use?
- Flask/FastAPI + GCP Cloud Run backend, OpenAI/Claude/Gemini APIs, RAG (Vector DB), and MCP for integrating with your internal systems. Our team operates on Marblo workspace.
- Can it integrate with our ERP, CRM?
- Yes, via MCP (Model Context Protocol) — connects to filesystems, databases, APIs, Git, and most internal systems.
- How much does it cost?
- Quoted by scope and requirements. The free diagnostic workshop produces a detailed quote.
- Do you provide ongoing operational support?
- Yes, 3 months of operational support is included by default — monitoring, tuning, and continuous learning.
Build Your AI Agent Team Today
Explore multi-model agent team + flow automation packages
Contact Us
john.kim@hypemarc.com