10 Senses

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Launched in 2018, 10 Senses is a big data company. The small Warsaw, Poland-based team provides BI & big data consulting & SI and Artificial Intelligence.

Client Insights

Industry Expertise

Medical

30%

Information technology

25%

Automotive

20%

Telecommunications

15%

GPS, Navigation & GIS

5%

Retail

5%

Client Size Distribution

Small Business (<$10M) 10%

Midmarket ($10M - $1B) 45%

Enterprise (>$1B) 45%

Common Project Size

$50K-$199K 2 projects

$10K-$49K 1 project

Clients

This provider has not added their key clients.

Highlights from Recent Projects

Overall Rating

5.0
3 Reviews

10 Senses was contracted by Inter Cars, a spare parts distributor, to develop a vehicle management system that could process and transmit data in real-time from vehicles to workshops and garages. The company designed and implemented a system based on IoT devices and mobile apps on a serverless backend. They also developed an architecture for data storage and data flows optimized for advanced analytics. The project involved processing millions of records of raw data and turning them into recommendations or alerts sent to the vehicle's driver through a mobile app. The project was completed between April 2019 and October 2020, with an investment of approximately $57,000.

T-Mobile Polska engaged 10 Senses to develop new big data analytics formats. The company assisted T-Mobile in organizing data to glean insights and meet clients' needs. After understanding the clients' expectations, 10 Senses prepared the data and delivered insights to the client. The project, which cost between $20,000 and $50,000, ran from April 2018 to December 2021.

Int4, an SAP integration and automation company, hired 10 Senses to prepare data architecture and proof of concept of machine learning models in Python. The project also involved creating machine learning models in the SAP environment and building models for identifying and classifying financial transactions. The goal was to streamline the manual work of accountants on financial data in SAP systems. The project significantly shortened the financial month-end close, freeing up man-hours for more creative tasks. The project's cost and duration are not specified.

Timeliness

5.0

Service Excellence

5.0

Value

5.0

Would Recommend

5.0