Epinote.AI has carried out for us a complex project with BCG Poland where it coordinated the work of field researchers engaged in data collection across >20 locations in Poland. Review collected by and hosted on G2.com.

What do you like best about Epinote?

Importantly, Epinote was able to quickly (in 2-3 days) recruit >50 researchers across different towns in Poland (incl. in less-populated areas with limited workforce pool)

The cooperation was seamless, supported by user-friendly online tools enabling easy research status monitoring & collaboration in real time. This was, we were able to quickly spot any data that is unusual, explain them and agree on areas for deep-dives.

Epinote.AI was exceptionally Agile and quickly adapted to changes in research formula ensuring necessary training of researchers & providing expected output on time. What’s more they were able to accommodate numerous changes in the way the data was collected and the data collected itself.

On top of that, the project has been conducted in compliance with the highest safety rules related to COVID-19, incl. monitoring of symptoms of all researchers, additional testing & immaculate crisis mgmt.. along the way

Overall, cooperation with Epinote.AI has been extremely successful and I can strongly recommend them as a reliable, professional business partner with a flexible approach and can-do attitude to commissioned tasks, who is able to perform complex tasks with great attention to detail. Review collected by and hosted on G2.com.

RV

ReSpo V.

Small-Business (50 or fewer emp.)

12/13/2020

"Amazing quality & collaboration"

5/5

Describe the project or task Epinote helped with:

Epinote has been providing data annotation services for a series of tasks connected with training deep learning computer vision models. Data annotation projects are often much more difficult than their look may suggest. This is the case in ReSpo.Vision, as we have diverse annotation tasks, many of them significantly more complicated than basic annotation of visible objects. Epinote excels in delivering high quality of annotation, especially where the task at hand is not a trivial one. Review collected by and hosted on G2.com.

What do you like best about Epinote?

Project setup is very quick and the annotated data is always delivered according to the schedule set at the beginning of the project. If a sudden need arises to scale up the process, Epinote is able to quickly recruit and set up larger number of annotators to deliver the required datasets. Epinote's team understands how data annotation fits into the machine learning projects and models lifetime, therefore they know how to deliver high quality data which will result in accurate models (pointing out edge cases, working with the client to correctly understand the task). Review collected by and hosted on G2.com.

What do you dislike about Epinote?

We haven't had any issues with Epinote during the projects that we've been collaborating on. Review collected by and hosted on G2.com.

What problems is Epinote solving and how is that benefiting you?

ReSpo.Vision aims to revolutionize sports analytics using Machine Learning and Deep Learning methods. The system architecture is complicated and many of the modules are based on supervised learning, so they require data annotation. High annotation quality delivered by Epinote allowed us to improve our models' performance and to iterate quickly on different approaches, as they were consistently able to deliver this high quality on a number of different annotation tasks. Review collected by and hosted on G2.com.