Healthcare

From Feature Builds to Full AI Support; Engineering for Bayer’s Calantic Platform

2.5 years enhancing AI-based radiology solutions.

Calantic Study Analysis Admin dashboard showing clinical study metrics with 1,079 total studies processed, alongside CT scan imaging viewer displaying cross-sectional thoracic scans

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.

Bayer needed to evolve Calantic by delivering new features while maintaining the stability of existing clinical workflows. To support this growth, unosquare partnered with Bayer to strengthen platform reliability, scalability, and data-driven intelligence without slowing innovation.
Through embedded nearshore teams, we expanded backend capabilities, implemented automation testing, and reinforced cloud foundations to ensure consistent performance at scale. In parallel, we enabled data pipelines and AI-ready analytics to support accurate, secure radiology insights across environments.

QA COE → Led automation testing initiatives to improve release consistency, system reliability, and regression coverage.

Cloud & Infrastructure COE → Optimized Bayer’s GCP environment to support scalability, security, and high-availability clinical workloads.

Data Engineering COE → Ensured the integrity, availability, and governance of radiology data supporting analytics and clinical insights.

AI COE→ Enabled intelligent analysis capabilities to support advanced imaging insights and future AI-assisted diagnostic workflows.

Combined with nearshore teams across Latin America and the UK, Bayer unlocked the velocity, stability, and capacity required to keep Calantic advancing at the pace of the market.

When innovation needs more hands and sharper tools, we bring both.
Next Starts Here.

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