Build AI That Works for Business
No development required, low cost, and quick implementation. A “small to medium-sized AI system” that’s immediately applicable to practical business needs.
The potential of generative AI is expanding. However, many companies face challenges such as:
- They have only tried ChatGPT and stopped there
- They are unable to leverage their internal data
- The costs are too high
- They have security concerns
- They have not been able to integrate it into their day-to-day operations
Mindware Research Institute plans, develops, and implements practical AI systems for businesses. For an overview of Enterprise AI, please refer to “How to Build Enterprise AI.”
Service Menu
1. VOC Analysis AI (Recommended)
Turning customer feedback into decision-making that drives sales.
By analyzing a large volume of customer feedback, including reviews, surveys, social media posts, and inquiry history, we achieve the following:
- Identification of points of dissatisfaction
- Competitor comparison
- Discovery of product improvement themes
- Generation of new product ideas
- Generation of management reports
Mindware Research Institute’s unique conceptual structure network model enables strategic analysis and the creation of new concepts. > To proceed with the project
“Based on our company’s thinking support engine, ‘ThinkNavi,’ this is a package system that can be put into operation in the shortest possible time simply by inputting data.”
2. Internal Inquiry AI
Reduce the workload on HR, general affairs, and IT departments.
By learning internal regulations and FAQs, we automate the following:
- Responding to questions about work rules
- Providing guidance on PC applications
- Providing guidance on expense reimbursement
- IT support
“Based on our company’s thinking support engine, ‘ThinkNavi,’ this is a package system that can be put into operation in the shortest possible time simply by inputting data.”
3. Sales proposal AI
Speed up proposal creation
- Proposal generation by customer industry
- Search past projects
- Automatic template generation
- Competitor comparison proposal
We will standardize sales capabilities.
“Based on our company’s thinking support engine, ‘ThinkNavi,’ this is a package system that can be put into operation in the shortest possible time simply by inputting data.”
4. Contract Review AI
Streamlining legal operations
We support:
- NDA Review
- Risk Clause Extraction
- Contract Comparison
- Summary Explanation
“Based on our company’s thinking support engine, ‘ThinkNavi,’ this is a package system that can be put into operation in the shortest possible time simply by inputting data.”
5. AI Knowledge Base
LLM Wiki + Conceptual Structure Model
We integrate vast amounts of internal documentation using LLM Wiki and our proprietary conceptual structure model. We quickly build a next-generation internal knowledge aggregation system that allows for intuitive exploration and sharing of “meaningful connections” and “related knowledge” that were previously unreachable through traditional keyword searches, all via AI chat.
Our Strengths
No-code quick deployment with the pre-built AI engine “ThinkNavi”
Unlike typical AI development companies that develop systems from scratch, Mindware Research Institute utilizes its long-established integrated engine of “conceptual structure model + AI chat.” Because RAG (data linkage) operation, concierge functions, and Mindware content are pre-built, there is no development risk, and deployment is possible on a small scale and at ultra-high speed.
Introduction Steps
- Free consultation
- Requirements definition
- PoC (Prototype)
- Production development
- Operational improvement
Please consult with us regarding AI implementation.
We will propose the optimal approach tailored to your industry and scale.
> To proceed with the project