CLIENT NEEDS
- Our client was looking for implementable digital solutions that could help reduce / eliminate downtime losses due to unexpected equipment failure.
CLIENT OBJECTIVES
- The client was looking for technology solutions to automate error detection in circuit diagrams. The objective was to improve efficiency while eliminating the risk of human error.
KEY BUSINESS OUTCOMES
- The client selected an Asia-based start-up for final due diligence, testing and implementation.
KEY BUSINESS IMPACT
- The client was able to find an implement the desired solution with substantial savings of time and cost.
OUR APPROACH & METHODOLOGY
Expert Project Team Deployment
- For the client’s specific business objective, from its Expert Network, WhatNext selected and deployed a team of 3 experts who together had experience in automotive engineering, AI-based Machine vision, machine learning, image recognition, text recognition, pattern recognition, and quality control. This expert team was supported by a PhD student to help in data gathering, research and analysis.
Research
- The Expert team analyzed patent literature, product data sheets, technical research papers, conference papers & other scientific articles from leading journals & magazine publications. They also engaged with and exchanged opinions with other experts in their network and other experts sourced from the WhatNext Expert Network.
- The outcome of the research phase resulted in identifying 3 startups.
- The research findings were made available to the client over the WhatNext platform.
Benchmarking & Due Diligence
- In-depth mapping of the technologies of all three companies was conducted.
- Detailed value proposition and benchmarking were done on their technology profiles
- In-depth IP Assessments were conducted as well.
- The experts engaged with the startups to understand the TRL levels o the technology and real-world effectiveness and ease of integration. They also had discussions with users of the start-up’s technologies.
- At the end of this phase, the client was introduced to two of the three finalized companies.