great-expectations
Vannus records that this vendor names one model provider in its own documentation. Every finding below is quoted to the vendor’s own document, or marked not disclosed where the vendor publishes nothing.
Data validation and documentation framework — defines expectations as executable tests on data, ensuring semantic meaning remains consistent across every environment, eradicating the illusion of separation
Organizations can now configure their own OpenAI credentials directly within their Agent environment, enabling ExpectAI to run securely
Not yet assessed. We publish a sovereignty position only where the vendor documents one — we do not infer it from a domain or a company name.
Taken from the vendor’s own published material. Vannus does not hold these reports and has not reviewed their scope or dates — ask the vendor for the current report before relying on any of them.
Vannus publishes a nine-dimension trust framework — data sovereignty, training privacy, compliance posture, operational resilience, exit portability, and more. The heaviest criterion asks whether the tool builds its own AI or resells someone else's model; where the vendor discloses it, the grade cites the vendor's own documentation. No paid placements — scoring is walled off from affiliate revenue. See the methodology →