Company file · COGNISPAN LLC

Discounting is a habit. Pricing is a discipline.

We started CogniSpan after watching good brands spend a decade matching the cheapest reseller on the internet — and never once measuring whether their buyers cared.

Median margin lift
+6.4%

90 days post-launch, 41 pilot catalogs

SKUs under model
1.28M

Across apparel, electronics, home

Price decisions / day
840K

Suggested, not blindly applied

Elasticity fit accuracy
0.84

Median R² on held-out weeks

Record

Timeline

  1. 2025 Q3Thesis

    Two operators, one spreadsheet, and 40,000 rows of order lines from a friend's apparel brand. A third of the catalog turned out to be price-insensitive.

  2. 2026 Q1Prototype

    First hierarchical elasticity model. Backtests on eleven catalogs recover held-out demand within 0.84 median R².

  3. 2026 Q2Pilots

    Forty-one catalogs under model across apparel, electronics and home. Median contribution-margin lift of 6.4% at flat units.

  4. 2026 Q4Cohort 03

    Onboarding twenty-five brands at a time so every account gets a human reading its first suggestion set.

Operating principles

How we decide things

Evidence over opinion

01

Every recommendation ships with its confidence and the data behind it. If we can't defend a number, we mark it 'hold'.

Margin over volume

02

Revenue is vanity when the discount was unnecessary. We optimise contribution margin and report units honestly.

Bounded autonomy

03

The model proposes; your guardrails dispose. Floors, ceilings and daily caps are yours, not ours.

Legible by default

04

Monospace numbers, visible assumptions, exportable history. Pricing that can't be audited won't be trusted.

Contact

Talk to the people building it

Pre-launch, every conversation is with a founder. Send us a catalog export and we'll tell you honestly whether elasticity modelling will move your numbers.

Generalhello@cognispan.com
Security & diligencesecurity@cognispan.com
Registered officeCOGNISPAN LLC · Wilmington, Delaware, USA