Principles
What we're committed to.
Concrete operational commitments — not aspirations. The questions every AI company should be able to answer plainly, answered plainly.
- § 01
No black boxes.
Every response Serena produces is the output of inspectable symbolic operations. There is no neural network in the affective inference path, and no part of the answer that can't be traced back to its inputs.
- § 02
Audit-trail by design.
Each call returns a trace ID. Reopen it later — see every symbol Serena considered, every weight it applied, and the exact path from input to vector to response.
- § 03
We don't train on your data.
Serena's lexicon, n-gram model, and lifespan curves are fixed and documented. Your inputs are stored against your trace ID for inspection and deletion — never used to update the model.
- § 04
Open research.
The architecture is documented end-to-end across two academic papers. Methods, weights, and limitations are all public. Disagreement is part of the design.
- § 05
Deletable on request.
Email us with a trace ID and we'll delete the input and result within seven days. No retention loopholes, no "legitimate interest" carve-outs.
- § 06
UK-hosted, EU-friendly.
All inference and storage runs in europe-west2. Cloud Run scales to zero when idle. Data does not leave the region.