Maisa is a system that enhances the performance of AI and large language models by making them more transparent, traceable, and programmable. It offers automation through accountable, self-learning AI agents, called digital workers, that users can instruct via natural language, allowing those agents to navigate company knowledge, access tools orAPIs, and execute steps with clear, auditable logic. At its core lies the Knowledge Processing Unit (KPU), a reasoning kernel that orchestrates multi-step workflows, handles error recovery, and maintains an evident chain of execution. This architecture delivers automation with clarity and process-level traceability, enabling businesses to deploy AI-driven workflows more efficiently and reliably.

While taking a break at the 51 Mile Marker at the Lake of the Ozarks, Nick Smith was inspired as ever by the coexistence of AI and sales, but was searching for a way to put the controls in the hands of sales executives. “Sales has a lot of ‘enablement’ solutions, but not many tools that sales people actually like using” “Imagine if every sales executive had their own robot that performed virtual prospecting tasks.” Drawing on his sales and management experience at companies like CBS Corporation, iHeart Media and others, he began to imagine sales executives building their own cloud-based robots to reduce repetitive, manual tasks and increase revenue opportunities. Now, he just needed a name that combined sales and AI.

Developer of an analytics platform designed for businesses to get better at diversity, equity, and Inclusion (DEI). The company's cloud-based software combines reporting with analytics built for DEI, revealing the stories hidden in human resources data such as trends in hiring, advancement, retention, and pay, providing businesses the insight to make the changes and navigate the challenges of becoming fairer workplaces.