Evo 2Arc Institute 
                        
                        
                     | 
        
        
        
            Healthcare Data AnalyticsInspirata 
                        
                        
                     | 
        
        |||||
Related Products
  | 
            
            ||||||
                
            
            
            About
            Evo 2 is a genomic foundation model capable of generalist prediction and design tasks across DNA, RNA, and proteins. It utilizes a frontier deep learning architecture to model biological sequences at single-nucleotide resolution, achieving near-linear scaling of compute and memory relative to context length. Trained with 40 billion parameters and a 1 megabase context length, Evo 2 processes over 9 trillion nucleotides from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function prediction across multiple biological modalities, including DNA, RNA, and proteins, and to generate novel sequences with plausible genomic architecture. The model's capabilities have been demonstrated in tasks such as designing functional CRISPR systems and predicting disease-causing mutations in human genes. Evo 2 is publicly accessible via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework.
             
            
        
         | 
        
        
                
            
            
            About
            With more than 70% of healthcare data stored in clinical documents, reports, patient chart, clinician notes and discharge letters, our healthcare specific Natural Language Processing and AI Engine identifies the concepts, attributes and context needed to deliver business insights, optimize billing, identify and stratify patient risks, compute quality metrics or collect patient sentiment and outcome data. Leverage difficult-to-surface or entirely untapped data sources to enhance your clinical research or business intelligence. Leverage our database of thousands of clinical concepts such as genomic biomarkers, symptoms, side effects, and medications. Identify disease characteristics, medications, or risk factors from clinical documents to stratify patients and improve the quality of care. Protect the identity of data subjects while maintaining data utility through document de-identification.
             
            
        
         | 
        |||||
        
        Platforms Supported
            
                Windows
            
            
         
        
    
        
        
            
                Mac
            
            
         
        
    
        
        
            
                Linux
            
            
         
        
    
        
        
            
                Cloud
            
            
         
        
    
        
        
            
                On-Premises
            
            
         
        
    
        
        
            
                iPhone
            
            
         
        
    
        
        
            
                iPad
            
            
         
        
    
        
        
            
                Android
            
            
         
        
    
        
        
            
                Chromebook
            
            
         
        
    
         | 
        
        
        
        Platforms Supported
            
                Windows
            
            
         
        
    
        
        
            
                Mac
            
            
         
        
    
        
        
            
                Linux
            
            
         
        
    
        
        
            
                Cloud
            
            
         
        
    
        
        
            
                On-Premises
            
            
         
        
    
        
        
            
                iPhone
            
            
         
        
    
        
        
            
                iPad
            
            
         
        
    
        
        
            
                Android
            
            
         
        
    
        
        
            
                Chromebook
            
            
         
        
    
         | 
        |||||
                
            
        
        Audience
        Computational biologists and genetic engineers in need of a tool to model and design biological sequences across multiple modalities, enhancing research in genomics and synthetic biology
         
        
    
         | 
        
        
                
            
        
        Audience
        Healthcare providers looking for a natural Language Processing platform
         
        
    
         | 
        |||||
                
            
        
        Support
            
                Phone Support
            
            
         
        
    
        
        
            
                24/7 Live Support
            
            
         
        
    
        
        
            
                Online
            
            
         
        
    
         | 
        
        
                
            
        
        Support
            
                Phone Support
            
            
         
        
    
        
        
            
                24/7 Live Support
            
            
         
        
    
        
        
            
                Online
            
            
         
        
    
         | 
        |||||
                
            
        
        API
            
                Offers API
            
            
         
        
    
         | 
        
        
                
            
        
        API
            
                Offers API
            
            
         
        
    
         | 
        |||||
                
            
        
        Screenshots and Videos | 
        
        
                
            
        
        Screenshots and Videos | 
        |||||
                
            
        
        Pricing
        No information available.
        
        
     
    
    
        
        
            
                Free Version
            
            
         
        
    
        
        
            
                Free Trial
            
            
         
        
    
         | 
        
        
                
            
        
        Pricing
        No information available.
        
        
     
    
    
        
        
            
                Free Version
            
            
         
        
    
        
        
            
                Free Trial
            
            
         
        
    
         | 
        |||||
                
            
        
    
        
Reviews/
         | 
        
        
                
            
        
    
        
Reviews/
         | 
        |||||
                
            
        
        Training
            
                Documentation
            
            
         
        
    
        
        
            
                Webinars
            
            
         
        
    
        
        
            
                Live Online
            
            
         
        
    
        
        
            
                In Person
            
            
         
        
    
         | 
        
        
                
            
        
        Training
            
                Documentation
            
            
         
        
    
        
        
            
                Webinars
            
            
         
        
    
        
        
            
                Live Online
            
            
         
        
    
        
        
            
                In Person
            
            
         
        
    
         | 
        |||||
                
            
        
        Company InformationArc Institute 
    
    United States 
    arcinstitute.org/tools/evo 
         | 
        
        
                
            
        
        Company InformationInspirata 
    
    Founded: 2014 
    
    United States 
    www.inspirata.com/solutions/healthcare-data-analytics/ 
         | 
        |||||
                
            
            
    
        
        
        
            Alternatives | 
        
        
                
            
            
    
        
        
        
            Alternatives | 
        |||||
| 
                
            
            
    
        
        
        
        
             | 
        
        ||||||
| 
                
            
            
    
        
        
        
        
             | 
        ||||||
| 
                
            
            
    
        
        
        
        
             | 
        
        ||||||
                
            
        
    
        Categories | 
        
        
                
            
        
    
        Categories | 
        |||||
                
            
        
    
        
            
            
                
                    
                
                Population Health Management (PHM) Features
            
                Analytics
            
            
         
        
    
        
        
            
                Cost-of-Care Analysis
            
            
         
        
    
        
        
            
                Data Storage
            
            
         
        
    
        
        
            
                EMR/EHR Integration
            
            
         
        
    
        
        
            
                Patient Engagement
            
            
         
        
    
        
        
            
                Patient Identification
            
            
         
        
    
        
        
            
                Patient Risk Stratification
            
            
         
        
    
        
        
            
                Patient-Reported Outcomes
            
            
         
        
    
        
        
            
                Payment Bundling
            
            
         
        
    
        
        
            
                Predictive Alerts
            
            
         
        
    
        
        
            
                Test & Treatment Reminders
            
            
         
        
    
        
        
            
                Utilization Tracking
            
            
         
        
    
                     | 
        ||||||
                
            
        
    
        Integrations
            
                
    BioNeMo
            
            
         
        
    
        
        
            
                
    Evo Designer
            
            
         
        
    
        
        
            
                
    GitHub
            
            
         
        
    
        
        
            
                
    Hugging Face
            
            
         
        
    
                
             | 
        ||||||
| 
                
            
        
    
     | 
        
        
                
            
        
    
     |