AI-driven social media planning, scheduling, and analytics across platforms.
TextQL
Simplifies complex data operations with natural language querying.
TextQL transforms business logic into a sovereign ontology that users own, allowing it to map data, define meaning, answer questions based on that knowledge, and execute tasks automatically. The system is pressure tested in environments where regulation is particularly strict and handles reasoning across complex rows of data within industrial applications. It operates between warehouse operations and finished work by encoding the logic required to manage these processes efficiently. The platform enables users to own their data definitions while gaining an unfair advantage through this structured approach to industry complexity.
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Stores AI agent sessions as Git repos.