AI is transforming lives and businesses everywhere. From retail to finance to healthcare to media, there is hardly any industry or vertical left untouched by AI. Software development is something that is ubiquitous to almost all the industries and, in the world of Agile and DevOps (that is fast approaching), the pace at which we need to deliver and update software is increasing rapidly. To cope with this change, there is a need to incorporate AI in the Software Development Life Cycle (SDLC).
Recognizing this, over the past few years, multiple startups have come up to fill this gap. They are constantly innovating to help increase the productivity and accuracy across all stages of the SDLC, starting from requirement gathering to development to testing to deployment to application security. Startups are constantly filling this gap with the application of next-generation concepts such as Machine Learning (ML), Natural Language Processing (NLP), and deep learning.
In this research we present an assessment of startups utilizing AI in the field of software development, primarily focusing on their innovation, growth story, and the impact they have created in the market. We present an assessment and detailed profiling of the 16 AI startups across the stages of requirement, development, testing, deployment & maintenance, and security. Each startup profile provides a comprehensive picture of its technology capabilities, achieved market growth, and the perceived investors’ confidence.
