
We're redefining AGI by the value of work it delivers and testing whether autonomous systems can execute expert-level research from raw data to novel insights.
T2D2 replaces subjective assessment with a grounded framework that ensures AI agents meet the highest standards of scientific rigor:
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Develop a customized Atlas with ML-ready data for bias-free target predictions.
Create a disease-specific Atlas comprising meticulously curated data enriched with critical metadata and engineered for seamless integration into target prediction models.
Enhance prediction accuracy and mitigate bias through model training with multi-modal, harmonized datasets.
Instill confidence in your predictions by combining consistently processed samples for robust results.

Explore healthy and patient cohorts on Polly for a comprehensive molecular profiling of the disease being studied.
Conduct gene expression analysis to uncover differentially expressed signatures specific to the disease condition.
Identify potential candidate genes by assessing their druggability scores and cross-referencing with publicly available evidence.

Cross-reference your results with published evidence using curated public data delivered on Polly.
Validate target reliability by meta-analyzing relevant studies on Polly.
Evaluate targets for sensitivity, specificity, and clinical utility with rigorous statistical analysis.
Selects appropriate datasets and publications, separate signal from noise, and build chains of evidence across papers without human intervention.
Clean and structure messy biomedical data (single-cell, bulk-sequencing), cross-references hundreds of publications, and verifies results.
Chain tasks into complete workflows that deliver ready-to-use insights that are reproducible, complete with citations, to a skilled-human standard.
T2D2 tests multi-step, agentic workflows. The system must maintain scientific meaning over complex tasks.
The standard isn't plausible answers but the work that functions in real R&D pipelines.
Judges AI performance against the output of expert computational biologists using objective metrics.
T2D2 identifies where AI, humans, or hybrid workflows delivers best results.
Get custom target scoring and linkage prediction for precise, multi-indication targeting.
Excels where traditional KGs fail, providing solutions for non-model organisms and limited data.

Achieve 75% faster hypothesis generation (months to hours), cutting target ID to just 6 months.
Our unique, multi-layered architecture ensures you always have the most relevant, secure, and up-to-date information.
Broad, regularly updated public knowledge.
Securely integrates your sensitive internal data.
Tailored and frequently refreshed for specific use cases.
Polly KG is built for the future of biology, designed to evolve with your research needs
Built on millions of nodes and relationships, integrating 20+ sources, including the largest single-cell data collection.
Unify knowledge across over 50 species, extending insights beyond human-centric data.
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