TeknTrash

TeknTrash is a startup which uses AI to locate products at disposal sites and thus provide consumer data. We can then match that product to the sales history provided by the client to provide consumer use information.

This allow consumer product companies know their consumers better, avoid stock, use alternative plastics, resize better the packaging, focus their sales, know how long it took for the product to be consumed, and encourages people to recycle

POC at Sacyr tyre recycling plant in Spain
ENEL waste recycling plant in Italy (€300k POC, yet to sign)
Coca-Cola Venture Partners (158k POC, yet to sign)
Received US$120K from IBM in cloud storage and processing
Developed patentable technologies such as 4-stage recognition system based on Semantic Segmentation, YOLO, GAN, Reinforcement Learning
Developed portal corp.stipra.com for companies to register and pay
Running fundraising at https://www.angelsden.com/investment-opportunities/p5410818179/

FMCG firms spend $79bn annually on digital marketing and $47bn fails to deliver noticeable ROI

Attracting just 0.1% of that failing ROI spend equates to $470m pa.

Companies don´t know what happens with their products after they were sold to wholesalers.

This, however, is the most important moment in the product´s history, as it is the time when it was actually used by the customer.

TeknTrash is a startup which uses AI to locate products at disposal sites and thus provide consumer data. We can then match that product to the sales history provided by the client to provide consumer use information.

This it allow consumer product companies know their consumers better, avoid stock, use alternative plastics, resize better the packaging, focus their sales, know how long it took for the product to be consumed, and encourages people to recycle

Grey Parrot and RecycleEye come close in terms of technology but not on business, as both focus on developing technologies for the recycling business, whereas we focus on providing data to FMCG companies using the tools we develop for ourselves

Our technology is based on a 3 step recognition system

After NDA

Based on 4 contract models of recurring monthly revenues

Companies register at corp.stipra.com, send the pictures of the products they want us to locate at disposal sites, and compare that data with their own sales data

Marketing, management, B2C model

After NDA

Received 120K in infrastructure from IBM

Boot strap (self funded) to date by founding team
Proofs of concept/expressions of interest
Sacyr tyre recycling plant in Spain (started)
ENEL waste recycling plant in Italy (€300k POC, yet to sign)
Coca-Cola Venture Partners (158k POC, yet to sign)
Startup support from leading companies
Received US$120K from IBM in cloud storage and processing
Part of Google Campus
Developed patentable technologies
Developed 4-stage recognition system based on Semantic Segmentation, YOLO, GAN, Reinforcement Learning
Developed portal www.stipra.com able to recognize products