Completed

Closed. Rolling out to a fourth chain next quarter.

AI / Machine LearningRevenueSoftware

Vantage PointThis project has been verified

Turns existing store security cameras into a real-time shelf-stock monitor.

Target raise$500,000

$370,000 raised so far, confirmed by both parties (74%)

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Details

Category
AI / Machine Learning
IP type
Software
Stage
Revenue
Ask type
Fixed amount
Listed
Sep 16, 2026
Views
0

Description

Vantage Point reads the security camera footage retailers already have and flags out-of-stock shelves, misplaced items, and planogram violations in real time, no new hardware required. Live in 40 stores across three regional grocery chains.

Problem

Out-of-stock shelves cost retailers billions a year, and manual shelf checks are too slow and too rare to catch most of it.

Solution

A vision model tuned to run on standard security camera feeds and store-shelf layouts, flagging gaps and misplacements to staff within minutes instead of during the next scheduled walk.

Target market

Regional and national grocery and convenience store chains.

Business model

Per-store monthly SaaS fee, tiered by camera count.

Investments

  • Malik Thompson invested $220,000

    6% equity

  • Grace Mwangi invested $150,000

    4% equity

Discussion (1)

Malik Thompson

No new hardware to install is the whole pitch here. That's what actually gets retailers to say yes.

Kwame Asante

Innovator·🇬🇭 Ghana

Computer vision engineer, formerly built loss-prevention systems for retail chains.