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:



  1. Generating texture images through simple text-based prompts

  2. Developing high-quality texture images using Midjourney and ComfyUI

  3. Creating textures based on real-world photographs

  4. 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