Why we exist
Frontier AI systems need more than information from the public internet. They need examples of how experienced teams make decisions, coordinate work, resolve exceptions, and improve outcomes inside functioning organizations.
Enterprises already produce this operational signal through documentation, systems, project histories, quality processes, and human feedback — and through the video, audio, and images captured where the work actually happens. Lettus AI is building the infrastructure that connects this knowledge with responsible AI development.
How we work
We start with a company-level evaluation rather than a data transfer. If there is a potential fit, we work with the partner to define the use case, identify relevant operational signal, document handling requirements, and prepare only the agreed information.
Companies retain ownership of their underlying material, including original documents, video, audio, and images. Original material is sourced into a controlled processing environment; what a partnership licenses is the processed dataset prepared from it. Sensitive identifiers are removed or transformed where required, media is reviewed for identifiable people and incidental detail, and permitted use, review, retention, and deletion terms are agreed before prepared data is used.
Our principles
Operational reality matters
The most useful enterprise knowledge lives in workflows, decisions, feedback loops, and institutional context that public datasets cannot capture — and in the video, audio, and images recorded where the work is physically done.
Scope before transfer
Every potential engagement begins by defining ownership, rights and consents, purpose, permitted use, security controls, review, retention, and deletion requirements.
Long-term alignment
We structure partnerships to create value for participating enterprises while helping frontier AI systems understand how real organizations operate.