Category
Insight Generation
 Content Review
 Content Generation
Life Science-Specific
Generation
Insight Generation
Description
Use Cases
Autonomous
Agentic AI
Productivity
Gain (Value)
Feasibility
Summarize inputs (structured & unstructured data, text, multim edia) and create text, voice, image or video insights
Review content f or detection of regulatory & com plianceviolations and
suggestion of corrective measures
Generate domain-specific content
Generate new chemical &
biological entities
Gene rate new computer code

  1. Summarization & Insight Extraction

  2. Comparisons & Contrasts

  3. Sentiment Analysis

  4. Automated Problem Diagnosis

  5. Expertise Simulation

  6. Personal Assistant (Chatbot or Copilot)

1. Compliance Adherence

  • Medical Legal Regulatory (MLR) review

  • Regulatory submission

  • GxPvalidation

2. Sensitive
Content Detection

  • Patient privacy (HIPAA) checking

  • Adverse events (AE) detection

1. Text, Voice & Image
Generation

  • Promotional messages

  • Clinical Study Reports
    (CSR)

  •  Regulatory dossiers

2. Synthetic Data
Generation

1.Generative Chemistry

(new structures from properties)

2. Generative Biology

3. Virtual Patients

  1. Interpretation & Translation

  2. Legacy System Migration

  3. Documentation Enhancement

  4. Optimized Code Suggestions

  5. Code Generation & Personalization

  6.  Automated Testing

  7.  Prototyping Applications

  8. Code Customization for
    Similar Data Sets

  •  Doc Sonar

  •  Dash Lens

  •  Data Detective

  •  Observability Solutions

  •  Multilingual HCP Sentiment Analysis

  •  Literature AI

  • PharmaNova

  •  AI Powered Speaker Program

  • MLR Review

  • Content Tagging

  • SnapTract

  • Clinical Trial Protocol
    Generation

  •  CSR Generation

  • Global Value Dossier (GVD) Generation

  • Global Reimbursement Dossier(GRD) Generation

  •  Manuscript Generation

  •  Genomic Data

  •  Pharmacogenomics

  •  Deep Diagnose

  •  GenOmix AI

  • Liver Transplant Outcome Optimizer

 25% to 50%
5X
10X
10X
5X
High
 Low to Medium
Low
Low
 Low to Medium