# K-Dense Web > K-Dense Web is an AI agent that autonomously executes complex tasks across science, engineering, healthcare, finance, and beyond. It takes users from question to insight, problem to solution, by running multi-step workflows, executing real code, and generating publication-ready outputs. For the comprehensive machine-readable context, see: https://k-dense.ai/llms-full.txt ## Quick facts - **Company**: K-Dense Inc. — Palo Alto, CA (380 Portage Ave, Palo Alto, CA 94306) - **Website**: https://k-dense.ai - **Product**: K-Dense Web (https://app.k-dense.ai) - **Tagline**: Research. Analyze. Synthesize. - **Contact**: contact@k-dense.ai - **Founded**: 2024 - **Documented use cases**: 79+ - **Blog posts**: 42+ ## What it does K-Dense Web is a fully hosted AI platform that autonomously: 1. **Analyzes data**: CSV, Excel, FASTA, PDB, SDF, and 200+ scientific formats. 2. **Searches and retrieves context**: 250+ databases plus hundreds of thousands of on-demand tools. 3. **Runs machine learning**: automatic model selection, hyperparameter tuning, SHAP interpretability. 4. **Generates professional outputs**: papers, slides, figures, manuscript-quality documentation. 5. **Supports multiple domains**: science, engineering, healthcare, finance, market research, and more. ## Key differentiators - End-to-end pipeline from raw data to publication. - Executes real Python/R/ML code (not just generates text). - Intelligent model selection and hyperparameter optimization. - Grounded outputs with reduced hallucinations. - 79+ documented real-world use cases. - Both open-source and hosted offerings. ## Pricing overview - **Open-source packages**: Free. See "Open source" section below and each repository for license details. - **K-Dense Web Personal**: Pay-as-you-go. - **K-Dense Web Plus**: $199/month (300 credits/month). - **K-Dense Web Team**: $499/month (800 credits/month, unlimited seats). - **K-Dense Enterprise**: Custom pricing, integrations, SOC 2, HIPAA-ready, SSO, on-prem options. - **Research Grant Program**: 90% off Team plan for academic labs and non-profit researchers. ## Open source K-Dense ships 10 selected open-source libraries, skills, and tools for scientific agents, research automation, writing, data science, molecular optimization, and machine learning: - **scientific-agent-skills** — 141 ready-to-use scientific and research Agent Skills for biology, chemistry, medicine, scientific computing, and 78+ databases. → https://github.com/K-Dense-AI/scientific-agent-skills - **claude-scientific-writer** — Deep research and scientific writing tool for publication-ready academic documents with literature lookup, citation verification, and CLI/plugin workflows. → https://github.com/K-Dense-AI/claude-scientific-writer - **k-dense-byok** — Desktop AI research assistant powered by your own API keys, specialist agents, parallel chats, OpenRouter models, and local Ollama support. → https://github.com/K-Dense-AI/k-dense-byok - **mimeo** — CLI that researches an expert's public work, clusters their mental models, and emits a SKILL.md or AGENTS.md for coding agents. → https://github.com/K-Dense-AI/mimeo - **mimeographs** — 80 ready-to-use expert SKILL.md and AGENTS.md profiles for founders, philosophers, scientists, and AI researchers. → https://github.com/K-Dense-AI/mimeographs - **scientific-agents** — Research-grounded AGENTS.md profiles that turn generic agents into domain-aware scientific and engineering practitioners. → https://github.com/K-Dense-AI/scientific-agents - **science-superpowers** — Composable methodology skills that guide research agents through question framing, literature grounding, analysis design, and pre-registration. → https://github.com/K-Dense-AI/science-superpowers - **rowan-autosearch** — Agent-driven molecular optimization harness for Rowan workflows, RDKit constraints, auditable candidate logs, and HTML reports. → https://github.com/K-Dense-AI/rowan-autosearch - **karpathy** — Agentic machine learning engineer built with the Claude Agent SDK, Google ADK, and Scientific Agent Skills. → https://github.com/K-Dense-AI/karpathy - **agentic-data-scientist** — Adaptive multi-agent data science framework with planning, execution, validation, reflection, MCP integration, and Scientific Agent Skills. → https://github.com/K-Dense-AI/agentic-data-scientist All repositories live under the K-Dense GitHub organization: https://github.com/K-Dense-AI ## Common questions - **What is K-Dense?** An AI agent platform for autonomous, end-to-end complex task execution across many domains. - **Who is it for?** Researchers, analysts, engineers, and operators who need to turn data and questions into decisions and publication-ready outputs. - **How does billing work?** Pay-as-you-go credits (non-expiring) or monthly/annual subscriptions with refreshing credits. - **Is my data private?** Yes. Data is encrypted in transit and at rest; we do not train on user data. Enterprise offers private cloud and on-prem options. - **What about open source?** K-Dense publishes selected open-source projects for Agent Skills-compatible tools, research agents, data science, machine learning, and scientific writing — see the "Open source" section above. ## Key pages - [Homepage](https://k-dense.ai) - [About](https://k-dense.ai/about): Company mission, team, values - [Use Cases](https://k-dense.ai/use-cases): 79+ real research examples - [Pricing](https://k-dense.ai/pricing): Personal, Plus, Team, Enterprise, and open-source - [Enterprise](https://k-dense.ai/enterprise): Custom integrations & deployment - [Research Grant Program](https://k-dense.ai/research-program): 90% off Team plan for research orgs - [Blog](https://k-dense.ai/blog): Insights & updates - [Tutorials](https://k-dense.ai/tutorials): Step-by-step video tutorials - [Newsletter](https://k-dense.ai/newsletter): AI research updates - [FAQ](https://k-dense.ai/faq): Frequently asked questions ## Recent blog posts - [The Model Is No Longer the Bottleneck](https://k-dense.ai/blog/the-model-is-no-longer-the-bottleneck) — Anthropic showed a general model can rival ChemDraw at NMR. The real story for scientists: the bottleneck has moved from the model to the workflow around it. - [The AI Co-Scientist Is Here. The Bottleneck Is Verification.](https://k-dense.ai/blog/ai-co-scientist-verification-bottleneck) — AI agents are moving into real scientific workflows. The question for working scientists is not whether they are powerful, but whether they are verifiable. - [Your AI Assistant Reasons Like a Generalist. Science Needs a Specialist.](https://k-dense.ai/blog/introducing-scientific-agents) — Introducing Scientific Agents: 503 open-source AGENTS.md profiles that teach any AI agent to reason like a senior practitioner in a specific scientific or engineering field. - [One Skill, 78 Databases: Why We Didn't Build 78 Skills](https://k-dense.ai/blog/database-lookup-one-skill-78-databases) — We gave our research agent 78 public scientific and economic databases through a single Agent Skill. Here is the design argument, with real token and routing benchmarks. - [Introducing Science Superpowers: Scientific Discipline for Your Research Agent](https://k-dense.ai/blog/introducing-science-superpowers) — Our new open source methodology makes AI research agents pre-register hypotheses, work reproducibly, and verify before they claim. Pre-registration over TDD. - [Towards Smarter Scientific Search: Exa Joins the Scientific Agent Skills Library](https://k-dense.ai/blog/towards-smarter-scientific-search-exa-scientific-agent-skills) — Exa is now integrated into K-Dense's Scientific Agent Skills library, bringing neural web search and URL extraction to AI-driven scientific research. - [Mapping the RAS Mutation Landscape in Pancreatic Cancer with K-Dense Web](https://k-dense.ai/blog/ras-mutation-landscape-pancreatic-cancer-k-dense) — A research-focused case study showing how K-Dense Web analyzed global RAS mutation prevalence, drug eligibility, statistics, and the clinical-trial landscape in PDAC. - [The Virus in the Dust: How K-Dense Web Can Accelerate Hantavirus Research](https://k-dense.ai/blog/hantavirus-research-k-dense-web) — A practical look at how K-Dense Web can help researchers synthesize hantavirus literature, surveillance, ecology, and public health evidence. Full post text is available at `https://k-dense.ai/blog/.md` in raw markdown. ## Security & compliance - Data is encrypted in transit and at rest. - K-Dense does not train on user data. - Enterprise supports SOC 2 Type II, HIPAA-ready infrastructure, SSO/SAML, private cloud, and on-premises deployment options. ## Social - GitHub: https://github.com/K-Dense-AI - Twitter/X: https://x.com/k_dense_ai - LinkedIn: https://www.linkedin.com/company/k-dense-inc - YouTube: https://www.youtube.com/@K-Dense-Inc ## Machine-readable resources - Sitemap: https://k-dense.ai/sitemap.xml - RSS feed: https://k-dense.ai/feed.xml - Summary LLM context: https://k-dense.ai/llms.txt - Well-known LLM context: https://k-dense.ai/.well-known/llms.txt - Full LLM context: https://k-dense.ai/llms-full.txt - Typo-safe LLM context alias: https://k-dense.ai/llm.txt - Blog raw markdown: https://k-dense.ai/blog/.md --- Last updated: 2026-06-07