Banlys · Research
Patent-pending architecture for sequential prediction. Lattice activates learned behavioral structure only when confidence is high — and stays conservative when it is not.
Interactive demos are illustrative. Hosted inference and commercial licensing are open for research partners and pilots.
The design goal is restraint — not always-on personalization.
Lattice does not assume identity from the first click. It earns personalization as evidence accumulates — and defers to conservative baselines when the match is weak. Full methodology, benchmarks, and reproducibility are in the arXiv preprint.
Reported on MovieLens with rigorous multi-seed testing (p < 10⁻²⁵). Under distribution shift, Lattice abstains rather than forcing a match — a successful outcome in the preprint. See the paper for full metrics across domains.
We are accepting research license requests and scoped design partnerships while peer review is in progress. Hosted API access follows pilot validation — not self-serve yet.