Soft General

Authenticx is an intelligent US platform that helps healthcare organizations analyze and activate customer interaction data at scale. The company aids healthcare institutions to improve customer loyalty by listening, analyzing, and activating customers' voices to identify dynamics and disruptions affecting the customers' journey. To improve the existing system and add new functionality client required skilled front-end engineers who would fit the company’s culture. 

Achievements

• Improved the record evaluation process by fixing issues that caused page crashes and lags.

• Refactored an audio player by adding responsive transcription. 

• Improved the visualization and correctness of reporting by connecting statistical data from various sources.

• Optimized the error notification system by adding notices for each of the numerous data types.

The client is a Dutch sales tech startup requiring tech specialists to scale and strengthen its internal IT development department. The company already helps several enterprise-level B2B companies optimize their sales results, providing them with more than 100K data points for account insights. To add new features and improve existing system work client required a quick team scaling with quality outstaffing support.

Achievements

• Added new CRM integrations, such as PipeDrive and Hubspot, allowing the client to serve more customers and improve the platform's compatibility;

• Enhanced application architecture with Node.js to simplify work with API calls and speed up the server response time;

• Optimized the performance of the platform by changing the structure and reducing bundle size.

The client is a European ad tech startup requiring a tech team to scale and strengthen its internal IT development department. To improve the quality of services and add new features, the client was looking for reliable long-term outstaffing support.

Achievements

• SoftGeneral has staffed the project within three weeks: two full-stack and one technical product manager.

• The team helps with two kinds of queries: user requests from ongoing feedback collection and bug fixing.

• The used technologies cover HSURA, compatibility with arm64 architecture, the back-end microservice architecture, and advanced Cypress and Jest testing to check up on the result.