Goodwill Tech

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Goodwill Tech is a small robotics process automation company. Founded in 2019, the firm is located in Kyiv, Ukraine. Their team specializes in robotics process automation.

Client Insights

Industry Expertise

Information technology

30%

Business services

25%

Consumer products & services

10%

Financial services

10%

Legal

10%

Education

5%

Manufacturing

5%

Medical

5%

Client Size Distribution

Small Business (<$10M) 30%

Midmarket ($10M - $1B) 55%

Enterprise (>$1B) 15%

Common Project Size

$10K-$49K 2 projects

<$10K 1 project

Clients

This provider has not added their key clients.

Highlights from Recent Projects

Overall Rating

4.6
4 Reviews

Goodwill Tech successfully implemented Robotics Process Automation (RPA) solutions for Datami, a data solutions company. Datami chose Goodwill Tech for their high ratings, budget-friendly pricing, and good value for cost. A team of 2-5 employees from Goodwill Tech was assigned to automate key cybersecurity processes. The solution increased efficiency and met high security standards. The results included automated threat monitoring, reducing response time, a decrease in human errors in security data processing, and optimized analysis of incident and vulnerability logs, allowing the Datami team to focus on more complex threats.

Goodwill Tech was hired by Easylinkz Limited, a product IT company, to automate the interaction with old-fashioned GDS interfaces and manage the limitations of their technology with RPA capabilities. Easylinkz found Goodwill Tech through a referral and chose them for their geographic proximity and good value for cost. Goodwill Tech's team of 2-5 employees implemented a proof of concept for RPA solutions to automate interaction with standalone GDS applications. The result was a robot that managed the flow to read data from GDS screen (by emulating user actions) and push the data to Easylinkz platform via API, significantly improving productivity and efficiency.

Timeliness

4.4

Service Excellence

4.6

Value

4.8

Would Recommend

4.4