We publish and maintain benchmarks for every claim we make - scored head to head against the engagement platforms you already pay for, the cloud AI services they run on, and the AI assistants on your desktop. Every number traces to a published results file, and the full evidence pack is available for technical review.
Want to check our work? Request the benchmark pack - test data, scoring code, raw outputs, and methodology notes.
Every issue in every response, with its own sentiment, filed under your reporting topics.
See the full benchmark
Issues found in long written submissions
Issues implied but never named
Issues correctly filed under your reporting topics
How we benchmark
Benchmarks are only useful if you can check them. Ours are built to be checked - and to be rerun when the products change.
Every corpus is written for testing - spanning typos, sarcasm, voice transcripts, low-literacy writing, implied issues, and ten community languages.
Competing tools are scored on their best-performing configuration, with identical matching rules, only on content they support.
Every number traces to a published results file, and the full evaluation suite re-runs end to end - including a non-live path that re-scores cached outputs.
Test data, scoring code, raw model outputs, charts, and methodology notes are available for technical review by your IT and AI governance teams.
Bring one real, de-identified feedback export to a 30-minute walkthrough and compare the results against your current tooling.
Product notes, practical field guides, and evidence-led thinking for teams working under public scrutiny.
