Case Study

2D Explainer

Instant checkout
for the OR.

A 2D animated explainer for AssistIQ. It shows how AIQ Capture uses computer vision to track medical supplies and implants in real time.

Client

AssistIQ

Style

2D Animation

Runtime

1:50

the trusted eyes in the room

01

The Challenge

Retailers know what they buy and what leaves their shelves. Health systems often only know what they buy. Many still track supplies and implants with barcodes, manual entry and RFID. AssistIQ needed a video that made this gap clear and showed how its AI product closes it for billing, clinical and supply chain teams.

02

Our Solution

We opened in a grocery store, a setting everyone knows, then moved into a hospital supply room. A nurse struggles with scanning and data entry before AssistIQ arrives. AIQ Capture then logs each item like a self-checkout, with tablet screens showing items being recognized. The video closes with billing, clinical and supply chain staff working from the same data.

the story in eight beats

From the store to the OR

The script uses retail as a mirror for healthcare. Here is how it plays out, frame by frame.

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1

Retail knows

Stores track what leaves the shelf.

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2

Healthcare guesses

Supplies bought, but usage unclear.

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3

Old methods

Barcodes, manual entry and RFID.

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4

Time for a change

Enter AssistIQ.

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5

Instant checkout

AIQ Capture logs supplies as they are used.

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6

Computer vision

Real-time monitoring in the operating room.

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7

Every team benefits

Billing, clinical and supply chain.

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8

Better decisions

More revenue, lower costs, less waste.

the finished look

Design & illustrations

Calm hospital blues, clean interfaces and a small, relatable care team. We designed the characters first so they could carry the story across every scene.

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Retail checkout
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Scanning groceries
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The supply room
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Manual scanning
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Manual entry
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AssistIQ
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AIQ Capture
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Item recognized
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Charge captured
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The care team
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Revenue, time and sustainability
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Character designs

The final video

2D Animation · AssistIQ

your turn

Need to explain AI in a clinical setting?

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