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.

Salt Labs is a loyalty and financial technology that enables hourly employees to measure, capture, and reward themselves for their work. The platform offers individuals a chance to create asset ownership applications alongside regular paychecks. This transforms work into ownership, empowering hourly workers to capture the enduring value of their

DataSnipper is an intelligent audit platform that improves the speed and quality of auditing. They offer services such as snipping, document matching, table snip, text recognition, and document management. Their audit platform cross-verify Excel with supporting evidence, like PDFs, images, and Excel files.