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Our Vision
To make Data-Driven decision-making smart and accessible to any company, institution and individual |
Our Mission
To provide a revolutionary A.I. SaaS which aggregates data, automate its analysis and impacts positively any business every day |
More about Quick Algorithm
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Quick Algorithm is a young Deep-Tech startup that aims to democratize advanced analytics and Artificial Intelligence in the industrial sector.
To make this technology available to any company, Quick Algorithm has developed Scops, a SaaS platform that helps companies in increasing their productivity and reducing waste by collecting, sharing and analyzing data about their physical assets and machinery. In the manufacturing sector, 15%-40% of the production costs come from maintenance and training. This cost could be reduced importantly if companies were able to unleash the insight coming from advanced analytics. However, only a minority of companies have the internal resources to develop a functioning advanced analytics infrastructure. Scops is a revolutionary industrial assets platform because it offers a 360-degree plug-and-play solution for data collection, sharing and analytics, making the technology available to any company. |
On top of enhancing control and productivity of plant, facility and maintenance managers, Scops increases people's productivity on the field. With Scops, you can create a digital profile for your industrial assets to share maintenance tasks, video tutorials, images and technical documentation. Data generation, collection and sharing, is now super-easy and keeping track of failures and downtime is "social media" easy.
What makes Scops unique is combining a super-intuitive mobile interface, which improves productivity while generating tons of data, and advanced analytics that exploits Artificial Intelligence to spot anomalies and trends in the data. Technological innovation is only great when everybody can benefit from it, and Scops is giving any factory the possibility to become a Smart 4.0 Factory. |
Imagine a Universe ...
Welcome to the Data-Driven Economy!
"As many of you might have noticed, the relevance of advanced analytics and A.I. has increased dramatically in our economy.
I want to stress that this is not merely a curious side effect of technological progress, but it is "THE" 21st century's technological progress. As was the case with steam power and electricity, the advent of Machine Learning, which is the building block of A.I., has brought a technological quantum leap.
Like any new technological paradigm, this is having a large effect on both society and the economy. At school, we learned about the industrial revolution, and now we have the opportunity to live the "Data-Driven Economy" revolution.
As with any important technological change, there are opportunities and challenges. The opportunities are new businesses, more production efficiency, and better and smarter services that are accessible to a larger share of the population. However, new challenges arise from fiercer analytics competitiveness in many sectors, including services and manufacturing.
At Quick Algorithm, we spotted this trend years ago, and we are committed to making A.I. and advanced analytics accessible to any company and institution.
We are all witnessing a tremendous technological and social change, so grab your popcorn and enjoy this incredible journey."
The Founder Jacopo Piana, PhD
I want to stress that this is not merely a curious side effect of technological progress, but it is "THE" 21st century's technological progress. As was the case with steam power and electricity, the advent of Machine Learning, which is the building block of A.I., has brought a technological quantum leap.
Like any new technological paradigm, this is having a large effect on both society and the economy. At school, we learned about the industrial revolution, and now we have the opportunity to live the "Data-Driven Economy" revolution.
As with any important technological change, there are opportunities and challenges. The opportunities are new businesses, more production efficiency, and better and smarter services that are accessible to a larger share of the population. However, new challenges arise from fiercer analytics competitiveness in many sectors, including services and manufacturing.
At Quick Algorithm, we spotted this trend years ago, and we are committed to making A.I. and advanced analytics accessible to any company and institution.
We are all witnessing a tremendous technological and social change, so grab your popcorn and enjoy this incredible journey."
The Founder Jacopo Piana, PhD
Why Quick Algorithm
"...I was looking for the company name, but the first one that I liked, already had it's internet domain taken. You know, nowadays having the internet domain is more important than registering the logo or the name itself. So I've compiled a list of other names I liked, and again, all the domains were taken. After coming up with new names and checking their domain availability without success, I've said to myself: "I need a Quick Algorithm that generates company names and checks the internet domain availability." That was it! By far this has been the Quickest Algorithm I have ever written. By only thinking about it, it returned me the result: "Quick Algorithm." After all, it's what we do!"
Jacopo Piana Ph.D. - Founder
Jacopo Piana Ph.D. - Founder
About the founder
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Jacopo Piana is founder of Quick Algorithm Analytics and Adjunct Professor in Quantitative Methods at the University of Geneva. Broadly, Jacopo's research focuses on unsupervised Machine Learning for noise filtering and Supervised Learning for time-series forecasting and Artificial Intelligence.
Beyond Machine Learning applications for Artificial Intelligence, his research interests span, Empirical Asset Pricing, Risk Management and Price Expectations Formation with Bounded Rationality. Besides his entrepreneurial activity in the field of Artificial Intelligence and Analytics, Jacopo has participated at international conferences and actively offers mentorship and consultancy to companies and C-levels who want to move their company to the Data-Driven economy. |
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He also served as Board Member of London’s Alumni Bocconi Association chapter, which gathers hundreds of finance professionals. As a student, he entered the final round of the World Econometrics Game, Amsterdam 2010.
Jacopo earned his Ph.D. and a M.Res. in Empirical Asset Pricing from the Cass Business School, London, a diploma in Artificial Intelligence from MIT, an M.A. in Finance and Commodity trading from the University of Geneva, an M.Sc. and a B.Sc. in Quantitative Economics from Bocconi University in Milan. He has also been a visiting scholar at the Wharton School, University of Pennsylvania. Click here for the LinkedIn profile |
Our Partners
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