Chudovo
visit site- $10,000+
- 50 - 249 employees
- Castrop-Rauxel, Germany
Client Insights
Industry Expertise
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Client Size Distribution
Small Business (<$10M) 40%
Midmarket ($10M - $1B) 35%
Enterprise (>$1B) 25%
Common Project Size
$10K-$49K 2 projects
$50K-$199K 1 project
Clients
- Hoffman-La Roche, Royal Bank of Scotland, Saphera, Corizon Health, Evonik, TP-Link, Nexans, FDP-Bundestagsfraktion, berlinappcompany GmbH, Barcodes Inc., Pixabit-Solutions, Infocom, UkrPromBank, RBC Soft
Highlights from Recent Projects
Chudovo was hired by a software company to provide mobile app development support. The company chose Chudovo due to their technical expertise and ability to deliver quality code within set deadlines. The project involved the use of various technologies including Android, Kotlin, Rx, Dagger, ios, Objective-C, Xcode, GIT, and Jira. Chudovo's team of two developers joined the company's engineers in the continuous development of a specialized mobile engine. The results showed that the Chudovo team delivered as expected, further solidifying their reputation as a reliable partner.
The company Red Jumpers engaged Chudovo for staff augmentation support. The goal was to provide their client with a skilled .NET developer with good English and communication skills. Chudovo was selected due to their company values and the readiness of their developer to start work immediately. The developer from Chudovo was responsible for investigating and delivering solutions to identified issues, enhancing code quality, and upgrading the system which involved updating NuGet packages and migrating projects to the .NET Core framework.
Hazy, a synthetic data company, hired Chudovo for system modernization, AI, and API development. The main objective was to enhance Hazy’s synthetic data generation platform by embedding advanced AI algorithms and upgrading outdated backend systems. Chudovo was chosen based on their high ratings, culture fit, and good value for cost. They successfully modernized Hazy’s legacy systems, integrated advanced AI features, developed AI models for synthetic data validation, built RESTful APIs, migrated microservices to a modern, cloud-based architecture with automated deployment pipelines, and strengthened data security and compliance features. One of their notable achievements was the development of an AI-powered anomaly detection module.
Timeliness
Service Excellence
Value
Would Recommend
Awards
2022
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