Customized Dashboards for multi-modal data and AI-assisted cohort builders allows no-code data insight generation which is shareable with collaborators and reusable across different platforms.
R&D teams face challenges in extracting actionable insights and performing seamless downstream analysis due to fragmented workflows, complex data integration, and scalability limitations.
Resource-heavy analyses and scalability challenges slow progress.
Insights may lack context or relevance to specific use cases.
Manual interventions to do downstream analysis reduce efficiency and consistency.
Our AI-powered platform Polly's robust infrastructure makes it an excellent ML-ops platform for curation, quality control, and downstream consumption. Its architecture is designed to streamline the entire machine learning lifecycle from relevant data extraction using cohort builders, deployment on cloud, and monitoring. Additionally, data retrieval using the AI-assisted text-to-query feature enables no-code consumption for large and complex databases.
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Polly delivers insights 4X faster while unlocking deep biomolecular knowledge from harmonized data. Collaborate with our domain experts to create custom dashboards, conduct bioinformatics analyses, build knowledge graphs.
Leverage AI-platform for in-depth data exploration and actionable insights tailored to your use case.
Enable users to identify and analyze cohorts of interest, isolating and studying relevant data subsets. Interact with data through notebooks or a GUI, save and share cohorts for reproducibility.
Utilize custom applications and dashboards to visualize cell-type composition, empowering in-depth exploration and interpretation of trends and patterns.
Utilize integrated web applications to analyze and visualize data in real time, enabling seamless exploration across various datasets.
Leverage our expertise to construct tailored visualization apps and methods, unique to your research.
Our team provides custom solutions for a wide range of applications, including patient stratification, meta-analysis, biomarker prediction, target identification, and more, tailored to meet your specific needs and drive impactful insights.
Driving rapid insights and innovation in life sciences.
Improvement in curation efficiency by deploying custom-tailored metadata workflows specific to your data needs.
Faster LLM-model development and deployment, accelerating time to insight.
Reduction in manual intervention through tailored automation, freeing up valuable resources.
Multi-modal data products (>10k samples each) developed in last 5 years.
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Even with advanced tools, researchers spend significant time exploring data, forming hypotheses, and running iterative analyses. Polly’s Co-Scientist module accelerates this by guiding analysis, suggesting insights, and reducing manual effort.
The Co-Scientist is a module of Polly platform by Elucidata that helps researchers analyze datasets, generate hypotheses, and uncover insights through guided, conversational workflows.
Delays often come from data wrangling and validation challenges. Polly and it’s modules accelerate these timelines by automating data preparation and enabling faster insight generation.
The Co-Scientist analyzes patterns across datasets, suggests relevant comparisons, and highlights potential biomarkers, helping researchers identify meaningful signals faster.
Polly and it's modules are not built to replace stacks, they enhance your current stack. The Co-Scientist augments human expertise by automating repetitive analysis steps and surfacing insights, while researchers retain full control over decisions.
Polly combines ML-ready data, built-in analytics, and the AI Co-Scientist, allowing users to move from raw data to actionable insights up to 4x faster.
Yes, it assists in defining cohorts, suggesting stratification strategies, and enabling deeper analysis of specific patient groups.
The Co-Scientist works across 25+ omics modalities including genomics, transcriptomics, and proteomics, enabling cross-modal insights.
The Co-Scientist operates on curated, high-quality datasets within Polly and provides transparent, reproducible analysis workflows to ensure trust in results.
No, the Co-Scientist is designed to simplify complex analyses through intuitive, guided interactions, making advanced research accessible to a broader audience.
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