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

35%

Advertising & marketing

20%

Information technology

15%

Medical

10%

eCommerce

10%

Financial services

5%

Telecommunications

5%

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 a company to provide alternative solutions for a client's non-functioning system. The team developed mainly in JavaScript and migrated some existing APIs. They created a layer using MongoDB, NodeJS, and Amazon Web Services (AWS) configuration. The project was so successful that SmartCat was asked to take over the company's complete Amazon infrastructure and systems management. The team used advanced text analysis, data mining, and emotion recognition for cameras. The project, which began in January 2018, is ongoing and the company has invested over €50,000 ($59849.05 USD).

SmartCat collaborated with an internet gambling company to create a betting recommendation system. The team 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. The algorithm will be used for all player tickets. The project, which started in September 2017, is ongoing and the company has invested over €50,000 ($60,415 USD).

SmartCat was hired by a fintech platform to help in developing a specific part of their platform and defining a foundation for further builds. The team used Python-based machine learning and statistical mathematics for predictions. The project was a proof of concept that will continue to be developed. The team worked from March to April 2018 and the company invested less than $10,000.

Timeliness

4.8

Service Excellence

4.8

Value

4.0

Would Recommend

5.0