Agentic AI in Precision Medicine Era
Igniva™
Igniva™ is Aganitha’s suite of reasoning-first AI agents that accelerate therapeutic R&D by combining physics-informed biology, chemistry, and multi-modal data integration with generative and explainable AI. Its modular agents work with human oversight to deliver interpretable, scalable, and regulatory-ready outputs—turning complex biomedical data into actionable discoveries.
Igniva integrates seamlessly with our other engines to provide an end-to-end solution for therapeutic discovery:
DBTIPS brings multi-omics intelligence to uncover disease mechanisms and novel targets.
DISTILL adds predictive enzyme design and protein optimization.
- ACE enhances antibody and protein engineering through structural insights
NGS Dataworks ensures scalable and efficient management of sequencing data.
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DBTIPS™
Early research is messy.
Fragmented datasets, inconsistent evidence, and slow manual reviews make it hard to identify the right targets or biomarkers. Teams waste months piecing together literature, trial data, and omics signals — often without the confidence to move forward.
DBTIPS™ (Disease Biomarker and Target Insights Platform & Services) is Aganitha’s AI-powered platform brings clarity to early discovery by unifying data collation, biomarker/target assessment, and contextual patient insights into one powerful workflow.
- Literature Insights – Automatically scans, summarizes, and highlights key research articles, while tracking the timeline of scientific progress for each disease or target.
- Market Intelligence – Assesses competitive landscape, pipelines, and commercial potential to prioritize high-value opportunities.
- Multi-omics Integration – Combine signals from multi-omics to uncover disease mechanisms and validate targets.
- Patient & Stakeholder Perspectives – Captures patient experiences with the disease and/or different medications, along with insights from KOLs and HCPs, providing a comprehensive view of unmet needs and therapeutic opportunities to align science with real-world needs.
- Target Prioritization – Evaluates safety liabilities, tractability, and risk profiles to enable evidence-based target ranking and go/no-go calls.
… and more!
With DBTIPS™, disparate datasets converge into an evidence-rich framework that enables systematic target prioritization, rigorous biomarker validation, and data-driven decision-making in early discovery.
DISTILL™
DISTILL™ is a platform designed to manage the complexity of single-cell RNA sequencing data for disease mechanism and biomarker identification. It supports the process from lab bench to clinical insights by being:
Collaborative by design, connecting diverse professionals across teams.
Iterative and exploratory, allowing analyses to be revisited and refined.
Meta-study ready, enabling cross-study comparisons.
Next-generation LLM integrated, supporting plain-language biological queries.
Integrated into agentic AI workflows, to prioritize targets and validate mechanisms of action.
ACE™
ACE™ is Aganitha’s GenAI-powered platform for in silico enzyme characterization and optimization, accelerating design across therapeutic and biocatalysis domains. Key capabilities include:
Combines ancestral sequence reconstruction, protein language models, and molecular dynamics with generative AI workflows.
Predicts key properties such as thermal stability, solubility, and activity.
Identifies evolutionarily favorable mutations and models 3D structures.
Integrates ML-directed evolution to streamline discovery of high-performance enzyme variants.
NGS™
NGS DataWorks™ is Aganitha’s AI-powered, scientist-friendly platform for next-generation sequencing (NGS) data analysis, designed to eliminate technical bottlenecks and accelerate discovery. Key capabilities include:
Orchestrates custom NGS workflows, from somatic mutation detection and tumor mutational burden profiling to rare disease and functional genomics applications.
Operates across private cloud or HPC environments for flexible, scalable analysis.
Offers infrastructure-as-code deployment, automated quality control, and expert support.
Transforms multi-omics sequencing into efficient, customized insights without requiring deep bioinformatics expertise.
Computational Chemistry Suite
Aganitha Igniva™ for Chemistry is a modular AI-powered suite spanning the wide spectrum of computational chemistry – from Structural Biology (modeling novel protein targets, antibody stability, AAV design, etc) to Molecule & Material Discovery (small molecules, covalent binders, PROTACs, antibodies, surfactants, biopolymers, fragrance molecules, etc) to Chemistry, Manufacturing & Controls (CMC) (reaction modeling, formulation design, crystal structure prediction, digital twins of bioprocesses, etc). By fusing Generative AI and LLMs with physics-first methods like QM and MD among others, Igniva™ for Chemistry empowers R&D teams to explore new chemical spaces, design novel therapeutics and materials, and accelerate process development with scientific rigor and industrial impact.