Analyze complex biological data faster than ever before
DNA Sequence Analysis
Analyze DNA and RNA sequences with state-of-the-art AI algorithms designed specifically for genomic data.
Natural Language Interface
Ask questions in plain English and get immediate, accurate answers to your research questions.
Data Visualization
Generate insightful visualizations and reports from your complex genomic and proteomic data.
Literature Analysis
Scan, summarize, and extract insights from thousands of research papers in seconds.
Smart Pattern Recognition
Identify complex patterns in biological data and uncover hidden relationships that traditional methods might miss.
Secure & Private
Keep your research data private with enterprise-grade security measures.
Success Stories
Discover how leading researchers are using Attma to accelerate their discoveries.
Genomic Analysis of Rare Diseases
How researchers at Stanford used Attma to identify novel genetic variants in rare disease patients, reducing analysis time from weeks to hours.
Accelerated Drug Discovery
BioPharm Inc. leveraged Attma to analyze protein-ligand interactions, resulting in 3 promising drug candidates in just 2 months instead of years.
COVID-19 Variant Tracking
Public health researchers use Attma to monitor SARS-CoV-2 mutations and predict variant properties from sequence data in real-time.
Trusted by researchers worldwide
Our AI-powered platform is helping scientists accelerate their research and make breakthroughs faster.
99.9%
Accuracy rate
In sequence alignment and analysis
10x
Faster analysis
Compared to traditional methods
5,000+
Research papers
Processed and referenced
1,000+
Scientists
Using Attma daily
What our users say
Researchers around the world trust Attma for their work
Attma has completely transformed our research workflow. What used to take weeks now happens in minutes.
Dr. Sarah Johnson
Principal Researcher, Genomics Institute
The pattern recognition capabilities are unmatched. We've discovered correlations in our data that we never would have found manually.
Prof. Michael Chen
Computational Biologist, Oxford University
As someone with limited bioinformatics experience, Attma's natural language interface makes complex analyses accessible and intuitive.
Dr. Emily Rodriguez
Molecular Biologist, BioTech Labs