DISTILL

DISTILL™ is an AI-powered single-cell omics platform developed by Aganitha AI Inc., designed to transform complex single-cell and multi-omics data into actionable biological insights. By combining AI reasoning, analytical precision, and scientific context, DISTILL™ enables researchers and clinicians to uncover disease mechanisms, validate hypotheses, and accelerate discovery across a wide range of therapeutic areas including oncology, immunology, rare diseases, and CNS disorders.

Whether you are exploring cellular heterogeneity, profiling the tumor microenvironment, or seeking translational insights for clinical application, DISTILL™ adapts to your scientific questions. The platform is built for the single-cell and agentic AI era, offering a holistic framework that integrates, analyzes, and interprets multi-omics data to provide a deeper understanding of biological variability and treatment response.

Core Analytical Capabilities

• Comprehensive suite of analysis modules spanning quality control through to pathway enrichment
• Designed to extract meaningful patterns from complex single-cell datasets
• Supports analysis of diverse data types including single-cell RNA-seq, spatial transcriptomics, proteomics, and perturb-seq

Agentic AI and LLM-Powered Exploration

• Integrated large language model (LLM) assistant enables conversational exploration of complex biological questions
• Generates hypotheses autonomously from massive single-cell datasets
• Reasons across multi-omics layers to connect molecular mechanisms with clinical and market impact
• Surfaces insights conversationally, allowing researchers to query their data in natural language
• Accelerates translation from lab bench to patient bedside by converting large datasets into testable scientific hypotheses
• Provides literature context and curated data insights to guide users from raw data to discovery

Spatial Omics Integration

• Supports spatial omics analyses across multiple platforms including Xenium, Visium, and CosMx
• Integrates spatial context with transcriptomic data for a more complete understanding of cellular organization

Tumor and Immune Profiling

• Advanced analysis of the Tumor Microenvironment (TME)
• Immune landscape profiling and biomarker discovery
• Pathway enrichment analysis
• Response-to-therapy prediction to uncover drivers of disease progression and treatment response

Virtual Cell Modeling

• Train and interpret virtual cell models that simulate cellular behavior
• Predict perturbation outcomes and reveal regulatory mechanisms
• Leverages diverse datasets including single-cell RNA-seq, spatial transcriptomics, proteomics, and perturb-seq

Customizable Workflows and Collaboration

• Configurable analysis pathways tailored to individual study needs
• Ability to integrate custom reference datasets into pipelines
• Collaborative engagement with Aganitha's expert team at every stage, from data preprocessing to interpretation
• Ensures findings are robust, reproducible, and scientifically meaningful

DISTILL™ is part of Aganitha AI's broader product ecosystem, which includes Igniva™ for agentic AI workflows and DBTIPS™ for AI-curated disease and target dossiers. The platform supports biopharma R&D teams across focus areas such as immunology, oncology, rare diseases, and CNS disorders, with engagement models designed to support collaboration-led discovery at every step of the research process.