teonite

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TEONITE is a full-service software house based in Szczecin, Poland that specializes in analytics and business intelligence. Founded in 2010, they have 19 employees. Most frequently, they use Python, Django, ReactJS, and Docker to build platforms. TEONITE's services include custom software development, blockchain, business intelligence, artificial intelligence, and more.

Client Insights

Industry Expertise

Financial services

40%

Business services

25%

Consumer products & services

20%

Information technology

5%

Manufacturing

5%

eCommerce

5%

Client Size Distribution

Small Business (<$10M) 40%

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

Enterprise (>$1B) 15%

Common Project Size

$50K-$199K 4 projects

$10K-$49K 2 projects

$200K-$999K 2 projects

Clients

  • DECE consortium (composed of e.g. Sony

Highlights from Recent Projects

Overall Rating

4.8
11 Reviews

Teonite was engaged by a political research company to develop a mobile application for both iOS and Android platforms. Their task was to create an app that would provide users with access to the company's analysis, meeting information, and briefings, all connected to their CMS and database. The team comprised of a product owner, an iOS developer, and an Android developer. The project, which ran from May to November 2016, cost between $25,000–$50,000. The company continues to work with Teonite for updates and maintenance of the app.

In another project, Teonite served as the outsourced technology arm for Qvistorp, a software company developing an analytics software/business support system. They were responsible for all technology and R&D, including development, product development recommendations, and UI/UX design. The team varied over time, with 2–3 people consistently present and up to 8–9 people at peak times. The project spanned from May 2016 to April 2019, with a total cost of approximately $790,000 USD.

Teonite also worked with Booste, an online lending company for e-commerce businesses. They were hired to build a data warehouse, ETL and BI module, and automate the company's scoring process. The team, consisting of 2-5 employees, was chosen based on their high ratings, proximity, cultural fit, and aligned company values. They successfully developed the data warehouse, ETL and BI, and also contributed to the development of the scoring engine.

Timeliness

4.5

Service Excellence

4.8

Value

4.5

Would Recommend

5.0