KnowNEW
A model per store, owned by the store, that cuts token spend.
How it works
tandem · /brain
Recorded in the live demo. Fictional company, people and data.
Each store trains a small model from scratch on its own data: a forecast of its week, what's normal for it on each weekday, how it executes, and a memory of every answer its team has needed. Repeat questions are answered locally for zero LLM tokens, and the store can export or erase its brain at any time.
Built for: Every store; CIO and finance for the savings
What's included
- Trained from scratch per store, with no pooled data and no pretrained weights
- 7-day forecast with a learned confidence band
- Store-specific anomaly detection by weekday
- Answer memory that serves repeat questions for 0 tokens
- Tokens and dollars saved, per store and fleet-wide
- Export as JSON, erase, or opt in to anonymized benchmarks
Works with