World-class tech experts
Reduced time of project delivery
Management of requirements, functionality specification and solution design
End-to-end development including a customized AI core based on state-of-the-art advances in ML
Transfer of ownership to the customer, support and maintenance services available on request
In many cases, AI projects in enterprises are approached in the same way as other IT implementations, where focusing on selecting an experienced vendor and creating a precisely defined proof of concept are the key milestones. Projects carried out in this way usually end in the PoC phase and never reach deployment. The search for efficient solutions using data science or machine learning requires a different approach.
At deepsense.ai we work on the basis of CRISP methodology, a process model including six stages of running AI projects that lead to the right solution when repeated over and over again. This concept involves an agile approach, where priorities and pathways change as project development progresses.
Nielsen Holdings 93% reduction in data gathering time by reducing the amount of manual work Learn more