Developing an AI Customer Engagement Strategy for an Industrial Robotics Company
HYPERTRIANGLE
OVERVIEW
CMES Robotics, an AI robotics company specializing in AI and industrial automation, needed a more accessible way to communicate its technologies and solutions. Our team developed an AI-powered chatbot that helps users explore the company’s products, services, and resources through natural language conversations. Designed with a user-centered approach, the chatbot simplifies technical information, improves information discovery, and creates a more approachable experience for customers, partners, and stakeholders.
ROLE
Project Manager, AI Developer
TEAM
Alex C. (CEO), Seungji H., Jihye B., Jiming H.
DURATION
8 Weeks
SOFTWARE
WordPress • PHP • JavaScript • REST API • OpenAI API • Figma
PROJECT OUTLINE
Because traditional 3D production pipelines require significant time from modeling through texturing, the goal is to build a system that leverages AI to generate realistic texture data in a single workflow—applicable not only to games but also to cinematic content such as advertisements.
While AI-based texturing methods offer the advantage of generating images through simple prompt inputs, relying on a single approach can be limiting. To flexibly respond to diverse production scenarios, the following multiple approaches will be explored in parallel:
Generating texture images through simple text-based prompts
Developing high-quality texture images using Midjourney and ComfyUI
Creating textures based on real-world photographs
Enhancing and adapting textures using online texture resources
PART 1 TEXTURE MAKER
PART 2 : MAKE SEAMLESS
PART 3 : PBR TEXTURE
SEAMLESS TEXTURE
PBR TEXTURE FILES
RESEARCH & DEVELOPMENT
PROJECT MANAGEMENT
AI RESEARCH
ComfyUI
workflow
