returns
This entry runs no foundation model. Every finding below is quoted to the vendor’s own document, or marked not disclosed where the vendor publishes nothing.
Make your functions return something meaningful — Result, Maybe, IO monads for railway-oriented programming, transforming fear-based exception cascades into aligned, composable pipelines
No foundation model. returns does not run one, so this criterion does not apply and is excluded from the grade rather than counted against it. A typed functional programming library supplying Maybe, Result, IO and Future containers plus a mypy plugin; it performs no inference and bundles no model. Established from the product’s own public documentation and what it does. If that is out of date, tell us at right of reply.
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.
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 →