Business
R&D
R&D
Enterprise AI R&D for Real-World Workflows
We develop AI and agent technologies for business workflows and real-world operating environments.
Corporate R&D Center
Research-driven AI, built for enterprise use
Rooted in AI research at Seoul National University,
SURROMIND's Corporate R&D Center develops AI capabilities for business and industrial applications.
Core Technologies
The R&D foundation behind SURROMIND's enterprise AI capabilities.
Development Areas
Industrial AI Model Development
LLM/RAG Application Development
AI Agent System Development
Physical AI R&D
R&D Track Record
IP Portfolios
11Patents
- registered in Korea
- 17 patent applications
- 36 software copyright registrations
Recognition
2Programs
- Recognized for performance in Korean
- government-backed AI and ICT programs
Awards & Wins
16Awards
- 4 government ministry awards
- 12 AI competition awards
R&D Roadmap
From agent core to
workflows, applications, and physical AI
workflows, applications, and physical AI
Our roadmap focuses on core agent capabilities, software agents for business workflows and enterprise applications,
and physical AI research for robots and real-world environments.
Toward an Agent-Native Computing Stack
Agent Core
- Foundation Model
- Memory-RAG
- Multi-Agent Coordination
- Agent Safety & Evaluation
Cognitive Agent
- OS Agent
- Application Agent
- Browser-Web Agent
- Enterprise Workflow Agent
Physical Agent
- Robot Agent
- Embodied AI
- VLA
- World Model
AI R&D Engagement
Build AI where off-the-shelf solutions stop
Work with SURROMIND to turn complex AI needs into defined development scopes, working systems, and applied AI capabilities.
Route 01
From Problem to
Development Scope
Development Scope
Turn an open-ended AI need into
a clear development scope.
a clear development scope.
Includes
- Workflow review
- Data review
- Success criteria
Best for
- Early-stage AI ideas
- Internal workflow automation
- AI product planning
Route 02
Model, Agent &
System Development
System Development
Build AI capabilities that connect models, agents, workflows, and applications.
Includes
- Model development
- LLM/RAG applications
- System integration
Best for
- Enterprise AI features
- AI agents
- Domain-specific applications
Route 03
Applied R&D Collaboration
Co-develop advanced AI capabilities that require experimentation, technical iteration, and field feedback.
Includes
- Technical iteration
- Vision and sensor data
- Environment validation
Best for
- Physical AI
- Industrial AI
- Robotics environments
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