The eCOMPASS platform is an AI-powered, lab-in-the-loop RNA therapeutic development system built for Eclipse Bio to accelerate drug discovery through integrated sequence design, experimental validation, and sequencing-based biological analysis. It unifies computational RNA design, high-resolution sequencing analytics, and iterative experimental feedback into a single research ecosystem. Biotech teams can design, test, analyze, and refine RNA therapeutic candidates entirely within one intelligent platform.

Our Purpose

  • Provide a unified platform for RNA therapeutic design, testing, and biological analysis in one system
  • Enable deep sequencing-based insights into RNA structure, expression, and molecular interaction behavior
  • Replace fragmented experimental workflows with a centralized, iterative lab-in-the-loop research environment
  • Support scalable AI-driven optimization of RNA candidates across multiple therapeutic development modalities

How We Delivered

  • Built a modular web-based scientific platform supporting multiple RNA analysis and experimental workflows
  • Integrated AI-assisted RNA design pipelines with structured experimental validation tracking and feedback loops
  • Developed domain-specific modules for RNA expression, structure, and binding analysis with rich data visualization
  • Designed a scalable architecture supporting iterative design, test, analyze, and refine research cycles

Game-Changing Features

  • AI-powered RNA design engine generating optimized therapeutic sequences using experimental validation feedback loops
  • eMERGE-style sequencing analytics delivering nucleotide-level RNA insights across expression, structure, and binding
  • Multi-module research workspace for organizing RNA experiments, datasets, and biological sample library management
  • Comparative analysis tools for evaluating RNA therapeutic candidates across experimental conditions and modalities

Values Achieved

  • Reduced time required for RNA candidate evaluation through automated sequencing and analysis pipelines
  • Improved RNA sequence optimization accuracy by closing the loop between experimental results and AI models
  • Enabled scalable collaboration between computational biology teams and laboratory research scientists
  • Provided deeper biological insights at nucleotide resolution, directly improving RNA drug development decisions

From researcher login to RNA design, sequencing analytics, and iterative candidate refinement — all in one platform

Researcher login and authentication system

eMERGE module — RNA sequencing analytics and nucleotide-level insights

eVERSE module — dataset exploration and RNA candidate comparative analysis

Project Goal — A Closed-Loop RNA Therapeutic Development Ecosystem

Eclipse Bio needed to centralize RNA therapeutic development into a single intelligent system connecting AI-based RNA sequence design, laboratory experimental validation, and sequencing-based biological analysis. The eCOMPASS platform was engineered to eliminate fragmented research tools and replace them with a continuous, iterative optimization cycle — where every experimental result feeds directly back into the next generation of RNA candidate design. This closed-loop architecture enables faster, more accurate drug discovery pipelines for biotech research teams at scale.

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Overcoming the Challenge — Fragmented Tools, Broken Feedback, and Slow Iteration Cycles

Traditional RNA research workflows were fragmented across multiple disconnected tools, forcing researchers to manually interpret sequencing data, reconcile outputs from separate systems, and rebuild context between every experimental cycle. This disconnection between computational predictions and laboratory results created slow iteration cycles, limited scalability for AI-driven drug design, and a persistent gap where experimental outcomes could not systematically inform the next round of RNA sequence optimization. Researchers had no structured way to close the loop between what the AI predicted and what the biology actually showed.

👏🏽Transformative Solution — Lab-in-the-Loop Architecture for Continuous RNA Optimization

The eCOMPASS platform introduced a lab-in-the-loop architecture where AI generates optimized RNA sequences, experimental systems validate those candidates, sequencing platforms capture nucleotide-level biological data, and feedback loops automatically refine the next generation of designs. Built as a fully modular web platform with GraphQL-driven data access and high-performance visualization, it gave Eclipse Bio's research teams complete visibility across every stage of the RNA development pipeline — eliminating manual handoffs and enabling a continuous improvement cycle purpose-built for accelerating RNA therapeutic discovery.

The Outcome

The eCOMPASS platform unified Eclipse Bio’s RNA research and development workflow into a single intelligent system, eliminating manual data handoffs and dramatically reducing the time required to evaluate RNA therapeutic candidates. By centralizing sequencing analytics, AI-driven design, and experimental feedback into one platform, the team gained higher-resolution biological insights and a faster, more reliable path from sequence concept to validated drug candidate.

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FASTER DESIGN CYCLES

INCREASED EXPERIMENTAL THROUGHPUT

IMPROVED SEQUENCING ACCURACY

UNIFIED RESEARCH PLATFORM

Tech Stack

Some technologies used for this project