O

Since 2015 Ledger Assets has been a creative software and electronics boutique. We love re-imagining things. We have designed and built Electronic Nose (E-nose) prototypes that smell things electronically. The applications are endless from medical, food to Agritec. We use machine learning to recognize odour signatures.

What We Specialise In

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Artificial Intelligence

 We use machine learning for predictions. ML is vital in the progression of collecting and analysing data that is gathered via the Enose sensor that allows machines to sense, comprehend, act and learn from experience without being explicitly programmed. 

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IoT

 We use IoT for real-time insights, predictability via machine learning, alerts, actuator functions, Data Sharing, and more.

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Big Data

 We collect a large amount of data by our IoT devices which are collected in the big data system.
 

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Blockchain

 We have utilised blockchain in our past projects such as BitCar, Power Ledger and Enome. 

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Enose Sensor Development

 We are currently working on a project that relies on Enose sensors or machine olfaction to pick up early stages of particular diseases of animals or plants. 

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Software Engineering

 We have very experienced software engineers who are responsible for the development and execution of our projects. 

Projects We Have Been Involved With

POWER LEDGER

 We developed a world-first blockchain enabled energy trading platform to make energy markets more efficient. This company helps people transact energy, trade environmental commodities and invest in renewables. 

BITCAR

BitCar is a blockchain-based platform that allows for fractional ownership in the best performing asset class of the last decade - collectable exotic cars. 

ENOME

Enome allows users to own and share their own medical records, and allowing them to profit from sharing select data that they choose.

UPROOV - IOS AND ANDROID

Uproov is an app that provides digital media authentication. Prove photos, videos, sound recordings and documents. Once ‘Uprooved’ the file is locked, time-stamped and geo-located.