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PREDICT THE 
UNPREDICTABLE
 

HOW IT WORKS

01

Understanding your needs

We are committed to understanding what will make the biggest impact on your business

02

Our Predictive Technology

We have spent the last decade developing state-of-the-art predictive algorithms and frameworks .
We specialize in natural language processing, machine learning and especially deep learning. We help solve your most demanding business challenges with data.

03

Together

We partner with you to make you successful in the future. We operate in the Build–Operate–Transfer (BOT) framework:

  1. Build: we build the solution you need using our experts and technology with collaboration with your field experts. 

  2. Operate: we establish a framework to transfer our knowledge and train your field experts. We help you manage the operation of the technology until maturity

  3. Transfer: we transfer the full technology with ongoing support

PRODUCT

MEET
PERPETUUM MACHINE

OUR STORY

Perpetuum Machine was founded by Dr. Kira Radinsky, a world-renowned data scientist. 

As one of the up-and-coming voices in the data science community, she is pioneering the field of Web Dynamics and Temporal Information Retrieval. Dr. Radinsky gained international recognition for her work at Microsoft Research, where she developed predictive algorithms that recognized the early warning signs of globally impactful events, including political riots and disease epidemics. In 2013, she was named to the MIT Technology Review’s 35 Young Innovators Under 35, and in 2015 as Forbes 30 under 30 rising stars in enterprise technology. She is a frequent presenter at global tech events, including TEDx and the World Wide Web Conference, and she publishes in the Harvard Business Review.

She co-founded SalesPredict, acquired by eBay in 2016, that was the leader in the field of predictive marketing building solutions leveraging large-scale data mining to predict sales conversions. Today, she serves as eBay chief scientist and the director of data science, building the next generation predictive data mining, deep learning and natural language processing solutions that will transform eCommerce.

Radinsky also serves as visiting professor at the Technion, Israel’s leading science and technology institute, where she focuses on the application of predictive data mining in medicine.

Leveraging her experience, Radinsky founded Perpetuum Machine to provide access to the skills and expertise she gained and built a team of experts leading the field of predictive data science.

OUR VISION

We believe in being the best in what we do while getting high quality and tangible business. We are scientists and engineers in our heart and soul with an entrepreneurial spirit of making a real business impact.
We engage in multiple pro-bono activity to bring our solution for a better world.  You can see our TEDMed for our pro-bono activities.

TECHNOLOGY

"In recent years, machine learning has made tremendous progress in developing models that can accurately predict future data. However, there are still several obstacles in the way of its more widespread use in the data sciences. The first problem is that current Machine Learning (ML) methods still require considerable human expertise in devising appropriate features and models. The second problem is that the output of current methods, while accurate, is often hard to understand, which makes it hard to trust...this is a very promising direction for ML research, which is likely to find many
applications at Google and beyond."; (Kevin P. Murphy, Senior Research Scientist at Google).
We have spent years of research and built powerful statistical model-
building techniques accessible to non-expert - without a need for an expert in the loop. Our frameworks attend to the end-end machine learning process - from the data, to the automatic
feature engineering methods then to the automatic creation of insights. Our vision has yielded state-of-the-art automated data-science capabilities that we share with our customers. 
Read more about our discussion on the topic in our article in HBR.

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To schedule a meeting to discuss your data science needs with one of our consultants, please fill in your contact details

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