GPU-Accelerate Your Science: 58x Average Speedup with a Single Skill
The optimize-for-gpu skill rewrites CPU-bound Python code for NVIDIA GPUs, covering 12 libraries across data science, ML, simulation, and more. Benchmarked at 58x average speedup.
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Insights & Updates
Explore tutorials, product updates, and insights on AI-powered research automation from the K-Dense team.
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K-Dense Web Office Hours: Q&A Recap (March 17, 2026)
Key takeaways from our March 2026 Office Hours covering data privacy, enterprise features, and system methodology documentation.
K-Dense Web Scores 90.0% on BixBench-Verified-50
K-Dense Web scored 45/50 on BixBench-Verified-50, a cleaned biology-agent benchmark designed to separate real model mistakes from benchmark noise.
How VCs Use K-Dense Web for Due Diligence: CoreWeave and Ramp Case Studies
See how K-Dense Web transforms VC due diligence with automated research, financial modeling, and publication-ready reports. Featuring real case studies on CoreWeave ($19B) and Ramp ($32B).
The GBM Trial Paradox: 1,913 Trials, Zero Breakthrough Approvals
Our analysis of the complete GBM clinical trial database reveals three critical insights that explain why massive trial investment has failed to yield new approvals, and where the field must go next.
K-Dense Web vs OpenAI Prism: Task Execution vs Writing Assistance
OpenAI's Prism helps you write papers. K-Dense Web actually does the research. Here's why that distinction matters, and how to use them together for the optimal scientific workflow.
Accelerating Translational Research: How K-Dense is Transforming Drug Development
K-Dense is an agentic AI co-scientist platform purpose-built to transform translational research from a sequential, labor-intensive process into an integrated, insight-driven engine for drug development.
Autonomous Drug Discovery: Mining 700,000 Natural Products for Antimicrobial Candidates
How K-Dense Web autonomously processed the COCONUT database to identify 50 prioritized antimicrobial candidates using unsupervised machine learning.
Autonomous Medical Device Safety Analysis: Mining 10,000 ICD Adverse Events from the FDA MAUDE Database
How K-Dense Web autonomously analyzed implantable cardioverter defibrillator failures using NLP topic modeling and rigorous statistical methods, uncovering significant manufacturer-specific vulnerability patterns.