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.

Developer of a mobility budget platform intended to access and book different mobility services and reduce their CO2 footprint. The company's platform allows its users to set a mobility budget and offers scooter and car-sharing, bike subscriptions and public transportation, enabling employees to avail of the delivery of contemporary modes of transport.

Lexverify uses artificial intelligence to detect potential legal and compliance concerns in communications. It assists businesses in proactively avoiding legal and regulatory concerns by harnessing the power of AI. Their objective is to make technological communication a benefit rather than a problem.