For Business

We need to validate our product concept, but we don't have sufficient data on whether customers will actually adopt it. How can we test our ideas before investing significant time and resources?

We want to create a new plant-based protein product for athletes. How do I validate the nutritional value, flavor, and market positioning before we invest in large-scale production?

How do we evaluate pricing strategies and customer satisfaction for competitors in the eco-friendly skincare market to ensure our product offers better value?

How can we improve the efficiency of our Field Application Engineers (FAEs) in troubleshooting customer issues and providing product solutions in real-time across different regions?

With the current number of users and system resources being used, how can we plan for scaling if the number of users doubles? How should we adjust backend computing power and the number of support staff needed to manage this growth?

Based on the product manager's requirements, how can we design the backend microservice architecture, including detailing the interfaces, database tables, and indexes needed for efficient data retrieval.

Our tech startup develops and launches a new product, how do we design roles that ensure we attract the right talents? What specific skills should our team members have, and what AI tools should they be proficient in? Additionally, what tasks can AI and Virtual Experts take over to ensure our team's success in the launch?

How can we guide our organization and human talents to team up with AI? What does the new AI powered organization structure look like? How to migrate and adapt?

How to leverage AI to power internal training and knowledge transfer to achieve quick Zero to Hero?