How Arrakis Therapeutics Eliminated Manual Data Bottlenecks and Accelerated RNA Drug Discovery with Scispot

Company Overview

• Company: Arrakis Therapeutics.

• Industry: Biotechnology (RNA-targeted small molecule therapeutics).

• Headquarters: Waltham, Massachusetts, United States.

• Plan: Scispot Professional.

Challenges

Arrakis Therapeutics faced several bottlenecks that hindered their research productivity:

• Manual Data Processing: The biophysics team spent hours per target manually exporting Excel files, renaming 30–50 images per Surface Plasmon Resonance (SPR) experiment, and copy-pasting data across files.

• Inflexible System: Their previous in-house application was a "black-box" system that lacked customization, preventing teams from editing parameters, adding notes, or understanding data reorganization workflows.

• Data Silos: Diverse instruments generated data in multiple formats, leading to fragmented cross-functional collaboration and a lack of real-time visibility.

The Scispot Solution

To address these issues, Scispot implemented several automated and collaborative features:

• End-to-End SPR Workflow Automation: The platform directly ingests data from Biacore 8K instruments, automatically reorganizes files into structured formats, and pushes processed datasets to the database via API.

• Real-Time Collaborative Quality Control: A cloud-based architecture allows the biophysics team to review colleague evaluations, add QC notes, and identify issues before sharing data across departments.

• Flexible Customization: The platform allows scientists to adapt workflows, add new parameters, and customize the system to evolving requirements without needing extensive technical development.

Results

• Efficiency Gains: Manual data processing workflows that previously took hours were transformed into automated processes completed in minutes.

• Workflow Automation: The system processes 30–50 images per experiment instantly, saving significant researcher time weekly.

• Expanded Use: Success with SPR workflows has driven interest in expanding Scispot to mass spectrometry and mRNA inventory workflows.

• Improved Quality: Teams gained better visibility into data reorganization through collaborative QC reviews and comprehensive documentation.

Testimonial

"It's been a smooth and seamless experience implementing workflow automation in Scispot. The platform is user-intuitive, which saves significant training time. The ability to integrate lab instruments, process data, and automatically deposit results via API is very impactful."— Priya Subramanian, Head of IT, Arrakis Therapeutics

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