Crowd-sourcing medical data for research and development. AI ready labelled inputs in a secure, ethical and powerful way.
To develop solid data models and AI solutions, data is the key.
Validated, labelled and tailored data is hard to obtain and this slows down research and development.
Lugo wants to help researchers and biotech firms obtain the data the need quickly and reliably, while also empowering its users and valuing their privacy.
Our mission is to ethically crowd-source data for our partners from anyone around the world, while anonymising, encrypting, labelling, customizing and rewarding each entry
Nowadays, most research and development in biotech (both academia and corporate), relies on machine learning and neural networks models. These models mostly depend on how accurate the data they are provided with is. Finding such data can be incredibly hard, take a long time and be very expensive. Moreover, despite there being loads of data available out there, this is nearly often unsuitable, too generic and not labelled.
80% of AI projects time is spent on data collection and preparation; on average companies spend £180,000 every 3 years on data collection.
This encompasses labour, training and the associated security and storage costs - slowing the rate of innovation.
Lugo is the youngest start up to ever receive funds from the London School of Economics
Lugo received $1.000.000 of free transactions from TransferWise, making rewarding users even easier
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