Contributor
Thomas Neyland
Founder and Evidence Systems Engineer, Reseda Labs
Building evidence systems
Thomas builds the software, data models, and evidence systems behind Suplmnt. His work turns published supplement studies into structured evidence that can be inspected from a conclusion back to its cited sources.
How articles are produced
Suplmnt’s AI evidence pipeline extracts study results, organizes outcomes, calculates comparable effect measures, and drafts consumer-facing explanations. Thomas designs and maintains that pipeline, its validation rules, and the publishing system that presents the results.
The scoring framework, evidence grades, and source-linking rules are documented in the Suplmnt methodology.