Current software development is either mostly manual or the automated processes are disjoint and leveraged by different teams not talking to each other.
For example, we may have testing team leveraging automation for their performance testing and UI testing but not for back end testing. Then in the same project, we may have a release team using automated deployments and builds. The problem in such scenario is that data is getting collected in different databases which are neither connected nor interoperable unless a concerted effort is applied and this limits us from using the data across the software development lifecycle from using for artificial intelligence purposes With the wide spread adoption of cloud computing and advent of mature production grade artificial intelligence technologies, we have unique opportunity for making entire Software Development Life Cycle (SDLC) more "intelligent". This will provide massive efficiency in the way software id developed in the enterprises and help businesses get more and more features in production faster and relatively error free.
Thinqe has deep technical competency in delivery experience in making SDLC more effiecient and intelligent by using cloud, automation and AI
Thinqe has an AI augmented DevOps solution, IntelliFlow, which can not only automate Build, Deployment and Testing from the same platform but also can integrate with leading AI powered software development solution providers. IntelliFlow also has AI powered defect management solution and API driven integration mechanisms which can integrate cutting edge AI solutions for unit testing, functional testing, performance, security, log analysis, operation support and other activities of SDLC.
We can provide a bespoke solution to automate and smarten the software development pipeline by employing IntelliFlow and host of available solutions in the client ecosystem.