In the world of life sciences and pharmaceutical research, precision and speed can change lives.
At Sails Software Inc, we were in a drug discovery to co-create a solution that’s reshaping how research is done, from the ground up.
Our client, a prominent leader in Drug Discovery and Life Sciences research, has partnered with us to enhance laboratory efficiency and precision through cutting-edge innovation of the “Multi-Mode Plate Reader, designed to support high-throughput chemical and biological assays. These assays play a pivotal role in genomic, proteomic, and pharmaceutical research, including DNA/RNA analysis, biomarker screening, and drug efficacy testing.
Sails Software Inc. collaborated closely to enhance the device’s performance, usability, and data processing efficiency.
The Challenge:
Bridging Science with Technology
As their operations grew, so did the need for a powerful, data-driven software ecosystem to support and scale their work- especially in resource-constrained environments, without compromising speed, accuracy or data security.
They sought a robust software solution to meet their evolving needs.
Our Approach: Intelligent Design Meets Embedded Performance
We worked hand-in-hand with their scientific and engineering teams to design a robust, scalable software solution that addressed five critical pain points:
1. Real-Time Communication with Laboratory Equipment
To ensure seamless data exchange between the Plate Reader and lab software, we implemented WebSocket communication, enabling real-time, bi-directional data flow, vital for processing time-sensitive assay data.
2. Transforming Raw Data into Predictive Insights
Large-scale lab data is only valuable when it’s actionable.
Our team developed predictive analytics using machine learning algorithms, with intuitive D3.js-based visualizations in React. This empowered scientists to make real-time decisions backed by data.
3. Optimized Deployment on Raspberry Pi Devices
Deploying a feature-rich web application on a Raspberry Pi with just 4GB of memory.
We engineered a lightweight solution using .NET Core, Python, and PostgreSQL, delivering enterprise-grade functionality in a compact form factor.
4. Secure Database Backup and Restore in Offline Environments
We built offline-ready backup and restore tools, using .NET Core, REST APIs, and shell scripts. Regular backups can be archived securely onsite, minimizing risk of data loss due to system or user errors. safeguarding critical research data with automated, secure, and easily restorable processes.
5. Smart Maintenance from Anywhere
We enabled remote machine reinitialization, allowing field technicians to reset lab devices using software commands, reducing operational downtime and minimizing manual intervention.
The Outcome: High-Impact Transformation at Scale
The platform was deployed successfully across two regions.
The client reported:
Faster research cycles and increased assay throughput
Improved data quality and more reliable workflows
Streamlined maintenance and reduced human error
The positive field results not only led to satisfaction scores of 7/10 and 8/10 but also paved the way for scaling this solution to new labs and expanding their digital transformation strategy.
