Healthcare
From Feature Builds to Full AI Support; Engineering for Bayer’s Calantic Platform
2.5 years enhancing AI-based radiology solutions. Next Starts Here
Results
Expanded Bayer’s engineering capacity to accelerate delivery.
Reduced delivery bottlenecks for Calantic’s product roadmap.
Enhanced product reliability with automation testing and backend improvements.
Highlights / Intro
Bayer’s Calantic platform is a suite of AI-driven radiology solutions designed to help clinicians work faster and with greater accuracy.
unosquare partnered with Bayer to strengthen their engineering teams, embedding nearshore talent to keep features shipping on time and quality standards high.
Challenge
To keep pace with market demand and maintain high performance standards, Bayer needed:
Additional engineering capacity without extending delivery timelines.
Reliable QA and testing processes to ensure platform stability.
Scalable backend support to handle ongoing feature growth.
Solution
unosquare deployed a specialized nearshore team embedded within Bayer’s product organization:
Team
5 Software Engineers, 1 Quality Engineer.
Tech Stack
Java, JavaScript, C#, GCP.
We delivered new features and kept existing functionality stable, while strengthening reliability through automation testing and backend improvements. Our Centers of Excellence added depth to every layer of delivery: QA drove automation and reliability, Cloud expertise fine-tuned Bayer’s GCP setup for scale, and Data & Analytics kept radiology insights accurate and secure. Combined with nearshore teams in Latin America and the UK, Bayer unlocked the velocity, stability, and capacity to keep Calantic advancing at the speed of the market.
