The two benefits of feedback in our open-innovation data model
One of the assets of the matching algorithms proposed by Collaboration Capital is to select the technologies capable of achieving the desired use by the project leader.
The bearer of an innovation project expresses a need, a problematic and wants to have access to a solution able to meet his needs, and to achieve the desired objective, regardless of the technology used when it meets its criteria of integration.
The technical presentation of the strengths of a technology can not be enough to project itself into uses and benefits, which are very different depending on the business, the sector of activity or the specific context.
This is why, the Pitchbook imposed on startups to access free qualified projects require two feedbacks made, essential to achieve the rapprochement between the problematic and the proposed use.
The first benefit is the ability to achieve a cross between a problem / a project and a technology via the use allowed by technology, informed in the feedback from the startups in our platform.
A sensor of the range of connected objects can be applied in the automotive sector and at random of a project, apply on a medical use.
The algorithms put in place analyze feedback before technology, because the project leader looks first for a solution and then a technology.
The second benefit lies in the evaluation of applications. In addition to a description of the advantages of the technology proposed by the startup, the project leader can compare the different applications from the angle of the types of issues solved by the technological innovation of the startup and project themselves more easily into the proposed solution.
In return for inserted feedback, the startup accesses projects from qualified customers engaged on a roadmap.