Polly KG

Polly KG is a data-centric biomedical knowledge graph developed by Elucidata, purpose-built to accelerate target discovery and hypothesis generation for R&D teams in biopharma and life sciences. By unifying diverse biological, clinical, and omics data into a single, contextually rich graph, Polly KG enables researchers to generate hypotheses 75% faster — compressing timelines from months to hours — and complete target identification in as little as six months.

Designed for discovery, clinical research, precision diagnostics, and biologics data management, Polly KG serves biologists, bioinformaticians, data custodians, and research leadership who need a scalable, evidence-backed platform that goes beyond literature-only knowledge graphs. Its customization-first Platform-as-a-Service (PaaS) model supports tailored workflows and iterative improvement, making it suitable for both standard and highly specialized research contexts.

Core Differentiators and Approach

• Data-centric AI focus: Prioritizes data quality, interpretability, and context over sheer data quantity, ensuring that insights are grounded and trustworthy.
• Customization-first PaaS: Supports tailored workflows, scalable deployment, and iterative improvement rather than one-size-fits-all solutions.
• Evidence-backed and traceable: Provides quantitative evidence sourced from domain databases and processed omics data, with full data lineage — going well beyond literature-only links.
• Quantifiable accuracy: Validated in benchmark studies, achieving human-level accuracy (e.g., 4 out of 5 drug identifications at P≤0.05).
• Scientifically grounded: Ensures global scientific alignment through 100% ontology mapping and rigorous data validation.

Multi-Layered Architecture

• Base Knowledge Graph (Base KG): Provides broad, regularly updated public knowledge as the foundational layer.
• Proprietary Layer: Securely integrates sensitive internal data alongside public sources, maintaining data privacy and compliance.
• Context Layer: Tailored and frequently refreshed to address specific use cases and evolving research needs.

Key Capabilities

• Multi-modal integration: Unifies diverse data types — from genomics to clinical records — into a single, comprehensive graph.
• Cross-species capabilities: Unifies knowledge across more than 50 species, extending insights beyond human-centric data to support non-model organism research.
• Comprehensive data exploration: Surfaces pathways, druggability, molecular interactions, co-expression data, clinical trial information, and internal proprietary data in a single view.
• Natural language querying: Enables researchers to explore complex biological systems efficiently without requiring code or manual searches.
• Advanced AI insights: Delivers custom target scoring and linkage prediction for precise, multi-indication targeting.
• Data-scarce adaptability: Excels in scenarios where traditional knowledge graphs fail, providing solutions for non-model organisms and limited data environments.
• Efficient data integration: Seamlessly optimizes and integrates existing, complex data pipelines.

Scalable and Comprehensive Knowledge Landscape

• Built on millions of nodes and relationships, integrating more than 20 data sources, including the largest single-cell data collection available.
• Designed to evolve continuously with research needs, ensuring the most relevant, secure, and up-to-date information is always accessible.
• Supports cross-species knowledge unification across 50+ species for broader biological context.

Primary Use Cases

• Target identification: Integrates public and internal data across species to provide evidence for target prioritization, with a documented case study achieving AML target-indication assessment in six months.
• CHO cell line optimization: Integrates literature and in-house data to characterize high-producing CHO cell lines for biologics development.
• Indication expansion: Integrates public omics, clinical trial data, and market intelligence to support portfolio intelligence and indication expansion decisions.

Polly KG is trusted by leading biopharma organizations and is available as a scalable PaaS deployment. The platform supports seamless integration with existing data pipelines and is backed by Elucidata's broader Polly platform, which encompasses AI-readiness, quality assurance, and security and compliance capabilities. Elucidata operates across San Francisco, Boston, New Delhi, and Bengaluru.