Mediar

In-store shopper behavior data for brands. Maximize missed sales opportunities.
Overview
Raised: $36,701
Total Commitments ($USD)
Republic
12/05/2022
02/03/2023
$25,000
$1,235,000
$150
SAFE
Seed
RegCF
$12,000,000
0%
Rolling Commitments ($USD)
Active
02/02/2023
1
147%
3%
$622
75
San Francisco, California
Business Services, Software, & Applications
EnterpriseTech
B2B
High
Low
Summary Profit and Loss Statement
Most Recent Year | Prior Year | |
---|---|---|
Revenue |
$212,501 |
$185,900 |
COGS |
$124,549 |
$148,014 |
Tax |
$4,946 |
$488 |
| ||
| ||
Net Income |
$-490,747 |
$-564,597 |
Summary Balance Sheet
Most Recent Year | Prior Year | |
---|---|---|
Cash |
$186,265 |
$6,772 |
Accounts Receivable |
$25,086 |
$62,849 |
Total Assets |
$287,174 |
$132,942 |
Short-Term Debt |
$849,505 |
$989,528 |
Long-Term Debt |
$317,757 |
$282,073 |
Total Liabilities |
$1,167,262 |
$1,271,601 |
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Many companies are trying to capitalize on in-store customer behavioral data to keep up with e-commerce popularity. But from what I have seen, it is difficult to accomplish. Unnatural methods of data collection can disrupt shoppers and tamper with the results.
Sales data can be a decent proxy for understanding customer behavior, but it is not nearly as valuable as understanding the decision making that went into a purchase. Gustavo Lemos, founder of Mediar, classifies this data as “what could have been sold.” Mediar’s artificially intelligent software offers insight into just that by tapping into security footage and collecting shoppers’ behavioral data anonymously. The software is sold directly to brands. Then the brands go to retail partners and request to use the software with existing security camera systems.