Software is ubiquitous. APIs have created unprecedented interoperability; solutions that would have taken years to build have become plug-and-play, and infrastructure has moved from monolithic stacks to decentralized services. In this unprecedented sea of competition, how startups use data models and AI to better understand their customers, create compelling UI & UX, and generate insights will be the keys to emerging victorious.
A wave of customer-centric startups that attack problems with AI-native solutions will disrupt incumbent SaaS products and business models. Combining easy-to-use UI/UX with software solutions that incorporate trust, explainability, and feedback loops into repeatable processes will drive user adoption and human efficiency.
At its core, interoperability is a reflection of the need to coordinate data across an increasingly complex software stack. APIs enable previously incompatible datasets and functionality to converge and create capabilities that the end user has never before had access to.
By abstracting away the need to write intensive code, low code / no code platforms have allowed a new class of software “assemblers” to emerge. Talented individuals with little or no training can now accelerate software development, allowing startups to go from ideas to reality faster than ever. The growing use of natural language communication with applications will create a more intuitive and efficient user experience, accelerating user adoption.
Whether building, fine-tuning, or combining multiple LLMS, companies are making LLMs fundamental to their business operations. As they do, entire businesses, workflows, and pricing models will undergo change as solutions transition from improving efficiencies to completely rewiring the architecture of how we solve problems today.