The page says private and proprietary data may greatly exceed the public data used in popular LLMs. Clear rights are needed to use identifying, tokenized, or anonymized data for model training or copilots.
Tranquil Data Trusted Flow Edition packages policies and building blocks for common flows, using targeted interfaces to simplify setup. It lets legal and privacy teams own policies and reduces the need for technology teams to implement specific rules or regulations.
Tranquil Data Enterprise Edition captures context about users and data, then applies user-written policies to validate or enforce requirements. It can redact records or fields and audit the decisions.
The company is an early-stage, venture-backed technology company in Boston that is building a small, experienced team to help companies use their data appropriately.
Tranquil Data provides business context for data to align C-suites and support revenue opportunities. Founded in 2018, it is a Boston-based, venture-backed startup.