Photo - TeknTrash
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TeknTrash

Keeping track of your product's lifecycle

Spain
Market: Artificial Intelligence
Stage of the project: Prototype or product is ready

Date of last change: 22.07.2019
Min investment
$  200.000
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Total required
$ 1.000.000
Rating
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Idea

TeknTrash effectively *recycles data*: it identifies products at recycling centers and matches their origin to the stores where they were sold.

Current Status

Running on own funds

Market

According to the World Bank, the Household final consumption expenditure (HFCE) of is US$13 billion in USA and US$9 billion in Europe: 68% and 56% of GDP accordingly. These markets are made of the companies we plan to tackle.

Problem or Opportunity

Historically, product manufacturers have known the history of their products only until the store. After that, nothing was known on where, what, how, etc they were sold and fully consumed

The end result is unnecessary stock, incorrect size packaging, use of plastic, not knowing anything about the competitor, etc

Solution (product or service)

Tekntrash “recycles” data. That is, it obtains data fr om residues

Its military grade ML optical recognition is able to identify products at disposal sites and match its origin all the way to the store wh ere it was sold

That allows for a better understanding on consumer habits and thus more sales and less costs.

Competitors

None

Advantages or differentiators

Our technology is based on a 3 step recognition system

Finance

After NDA

Business model

1 – A contract is closed with a company which wants to know how its product is being used

2 – The product is photographed under any circumstance and with the closest environment or background possible, in order to avoid inference and labeled using systems such as Figure Eight

3 – The product is trained using GPUs (Nvidia) or TPUs (Google cloud) to speed up the process

4 – The trained system is fed into the server identifying products at disposal sites or the reverse vending machines. This server uses TeknTrash identification technology to identify it when it passes and count its occurrence

5 – The server data is matched to the recycling center data and the customer sales data to create a full lifecycle analysis of the product

Money will be spent on

Marketing, management, B2C model

Offer for investor

After NDA

Team or Management

Incubation/Acceleration programs accomplishment

Received 120K in infrastructure from IBM

Won the competition and other awards

Invited to present in Ukraine

Product Video

Website address

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Idea
Current Status
Market
Problem or Opportunity
Solution (product or service)
Competitors
Advantages or differentiators
Finance
Invested in previous rounds, $
Business model
Money will be spent on
Offer for investor
Team or Management
Mentors & Advisors
Lead investor
Risks
Incubation/Acceleration programs accomplishment
Won the competition and other awards
Invention/Patent
Photos
Product Video
Website address