Byteflows Engagement Methodology

You'd like to see the value that Machine Learning and Artificial Intelligence can offer before making a big commitment. That is why, our engagements start with testing your ideas and building Proofs-Of-Concept (POC), quickly and efficiently, which you can use to estimate ROI for the full-scale solution. 

During your first month, we will provide resources to build a POC accompanied by an AI diagnostic report. Based on the results and findings from the first month, we will discuss priorities on feature implementation. Eventually, the goal is to help you and your team take over parts of the project and we will play an advisory role. 

 

 

Benefits of Working With the Byteflows Versitile AI Team 

  • Build prototypes quickly to test new ideas and clearly evaluate the benefits.

  • Receive pragmatic guidance on timelines and approaches to achieve your goals within a budget range.

  • Get advice on internal team-building, when the project has been well defined, and ideally, a prototype or pilot has been built and tested.

  • Based on insights gathered deploy capital and resources into practical and realizable tasks.

  • Access to a versatile team which possesses the following pool of skills: 

    + Machine Learning, Deep Learning (on GPU) 
    + Data Architecture, Cloud Computing
    + Data Engineering
    + Computer Vision
    + Data Visualization 
    + Text Analytics, NLP, Data Mining

    + AI Product Develpment 

Frequently asked questions

What industries do you specialize in?


We have been working in areas such as Health Care, National Security, Finance & Hedge Funds, InsurTech, AdTech, and Academic Research.




We are based in New York, can we meet?


Absolutely! We are conviniently located between Bryant Park and Times Square. We host weekly and monthly Data Science seminars, stop by.




What makes the Byteflows Team qualified in this line of work?


Business experience and our background in exact sciences. Many of the data related problems turn into optimization techniques, which are problems similar to what we worked on during our PhD years. The techniques however, are not a means to an end, first and foremost, we must clearly understand the business of our clients.




Can you tell us about your team and the background?


Many of us embarked on collaborations in the early years of graduate school and are happy to continue the professional development together. It is this bond which has created an environment for fruitful exchange of ideas and a great learning atmosphere. The background of the team includes Medical Doctors; PhDs in Bio-imaging, Astronomy, and Quantum Physics; Economists and Business experts. We are always up to date with the current state of the art in machine learning to make sure we deliver only the best results to our clients.





135 West 41 Street. 5th Floor. New York, NY 10036. USA

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