SmartCat

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SmartCat is a big data boutique consultancy firm based in Novi Sad, Serbia, with an office in San Francisco. Founded in 2015, SmartCat's team of about 85 employees provides BI/SI & big data consulting, AI, and cloud consulting services primarily for mid-market businesses.

Client Insights

Industry Expertise

Real estate

25%

Advertising & marketing

20%

Information technology

15%

Financial services

10%

Medical

10%

Telecommunications

10%

eCommerce

10%

Client Size Distribution

Small Business (<$10M) 20%

Midmarket ($10M - $1B) 60%

Enterprise (>$1B) 20%

Common Project Size

$50K-$199K 2 projects

<$10K 1 project

Clients

This provider has not added their key clients.

Highlights from Recent Projects

Overall Rating

5.0
3 Reviews

SmartCat was hired by an internet gambling company to create a betting recommendation system. The company wanted a system that would give players recommendations on what to play. SmartCat built a web and mobile solution with machine learning components. The recommender will be present on seven to eight sites and a mobile application. The product was built using Apache Spark and Cassandra and will be used for all player tickets. The system has gone through several phases of testing in various environments such as staging and production. The collaboration with SmartCat has been ongoing since September 2017.

A client experience solution company hired SmartCat for a platform redevelopment project. The company had a solution that wasn't working and needed a company that could provide alternatives. SmartCat created a layer using MongoDB, NodeJS, and Amazon Web Services (AWS) configuration. They also took over the company's complete Amazon infrastructure and systems management. They use advanced text analysis, data mining, and emotion recognition for cameras. The company has been so satisfied with SmartCat's work that they plan to continue working with them for years to come.

SmartCat collaborated with a fintech platform to help develop a specific part of their platform and define a foundation for further builds. The first element was a proof of concept (POC) that will continue to be developed. SmartCat used Python-based machine learning and statistical mathematics for predictions. They sent the fintech platform a standard Jupyter notebook, a form of standardizing and transferring Python code. The project had four team members and lasted from March to April 2018.

Timeliness

4.8

Service Excellence

4.8

Value

4.0

Would Recommend

5.0