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
60

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

Founder·🇬🇭 Ghana

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