
The Sandboxed AI Scientist: Pairing NVIDIA OpenShell with Scientific Agent Skills
Pair NVIDIA OpenShell's policy-governed runtime with Scientific Agent Skills to run autonomous research agents that are highly capable and genuinely safe.
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Explore tutorials, product updates, and insights on AI-powered research automation from the K-Dense team.

Pair NVIDIA OpenShell's policy-governed runtime with Scientific Agent Skills to run autonomous research agents that are highly capable and genuinely safe.

April 2026 Office Hours recap: open source model support, model performance, K-Dense Web platform comparisons, and enterprise deployment options.

K-Dense Web queried 4 databases and ran 7 Python scripts to produce a 44-page competitive intelligence report on CT-388, Roche's GLP-1/GIP obesity agonist.

K-Dense Web integrated 6 databases, ranked 6 candidate biomarkers, and produced Phase III trial design recommendations for CD20xCD3 bispecifics in DLBCL.

K-Dense Web queried 6 databases, modeled KRAS structure, mapped the tumor microenvironment, and built a 36-slide iNeST strategy for PDAC neoantigen vaccines.

The optimize-for-gpu skill rewrites CPU-bound Python for NVIDIA GPUs across 12 libraries in data science, ML, and simulation, with 58x average speedup.

Key takeaways from our March 2026 Office Hours covering data privacy, enterprise features, and system methodology documentation.

K-Dense Web scored 45/50 on BixBench-Verified-50, a cleaned biology-agent benchmark designed to separate real model mistakes from benchmark noise.

K-Dense Web automates VC due diligence with research, financial modeling, and publication-ready reports, with CoreWeave ($19B) and Ramp ($32B) case studies.