Decode Nature's Hidden Stories
ATLAS is a revolutionary environmental DNA analysis platform that maps biodiversity, discovers new species, and monitors ecosystem health with unprecedented precision.
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ATLAS harnesses the power of environmental DNA (eDNA) to unlock the secrets of our planet's biodiversity. Our AI-driven platform analyzes genetic material from water, soil, and air samples to create comprehensive ecosystem maps.
From tracking endangered species to discovering new life forms, we're transforming how scientists, conservationists, and policymakers understand and protect our natural world.
How It Works
Follow our revolutionary journey from environmental samples to actionable biodiversity insights
Sample Collection
Environmental DNA Extraction
We begin by collecting environmental DNA (eDNA) from water, soil, or air samples using standardized field protocols that ensure sample integrity for downstream molecular analysis.
Field Collection Process
Next-Gen Sequencing
DNA Sequencing & Barcoding
Genetic Signature Analysis
In the lab, we extract the eDNA and amplify key genetic barcode regions using next-generation sequencing technology. This creates a high-resolution digital snapshot of the ecosystem's biodiversity.
AI Analysis with ATLAS
Machine Learning Classification
Our proprietary ATLAS software transforms raw sequence data into accurate classifications using deep learning models trained on genetic "fingerprints" for rapid and robust identification.
AI-Powered Analysis
Interactive Dashboards
Data Visualization & Insights
Actionable Intelligence
AI-driven classifications are synthesized into interactive dashboards and comprehensive biodiversity reports, delivering actionable insights for conservation and environmental monitoring.
Platform Features
Comprehensive tools for environmental DNA analysis and biodiversity monitoring
Multi-Model AI Classification
Five specialized neural networks (16S, 18S, COI, ITS) trained on millions of sequences for comprehensive taxonomic identification.
Novel Taxa Discovery
Explorer pipeline uses Doc2Vec and HDBSCAN clustering to identify potentially new species from unclassified sequences.
Interactive Visualizations
Dynamic horizontal bar charts, detailed tables with filtering, and comprehensive biodiversity reports with Chart.js integration.
Real-time Processing
Background analysis with live status updates, progress tracking, and asynchronous processing for large FASTA files.
FASTA File Support
Drag-and-drop interface supporting multiple FASTA formats with BioPython parsing and secure file handling.
Advanced Analytics
Comprehensive biodiversity analysis with species abundance calculations, percentage contributions, and statistical insights.
Ready to transform your research?
Let's create something extraordinary together.