# K-Dense

> K-Dense is an AI company that builds agents for real research. Its product portfolio spans K-Dense Web (a hosted AI research agent), K-Dense Enterprise (custom deployments for organizations), and a suite of free, open-source research tools. K-Dense agents autonomously execute complex tasks across science, engineering, healthcare, finance, and beyond.

For the comprehensive machine-readable context, see: https://www.k-dense.ai/llms-full.txt

## Quick facts

- **Company**: K-Dense Inc. — Palo Alto, CA (380 Portage Ave, Palo Alto, CA 94306)
- **Website**: https://www.k-dense.ai
- **Products**: K-Dense Web (https://app.k-dense.ai), K-Dense Enterprise, and 10 open-source projects
- **Flagship product tagline**: Research. Analyze. Synthesize. (K-Dense Web)
- **Contact**: contact@k-dense.ai
- **Founded**: 2024
- **Documented use cases**: 79+
- **Blog posts**: 51+

## Product portfolio

- **K-Dense Web** (Paid) — Research. Analyze. Synthesize. https://www.k-dense.ai/products/k-dense-web
- **K-Dense Enterprise** (Custom) — The research agent, deployed your way. https://www.k-dense.ai/enterprise
- **Pantheon** (Free & Open Source) — 80 minds, one question. https://pantheon.k-dense.ai/
- **K-Dense BYOK** (Free & Open Source) — Your local AI co-scientist. https://github.com/K-Dense-AI/k-dense-byok
- **Claude Scientific Writer** (Free & Open Source) — Research-backed scientific writing. https://github.com/K-Dense-AI/claude-scientific-writer
- **Scientific Agent Skills** (Free & Open Source) — 141 ready-to-use scientific skills. https://github.com/K-Dense-AI/scientific-agent-skills
- **Open-source ecosystem** (Free) — additional libraries, skills, and tools. https://www.k-dense.ai/products#open-source

## What K-Dense Web does

K-Dense Web, the flagship product, 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://www.k-dense.ai): Company overview and product portfolio
- [Products](https://www.k-dense.ai/products): Full product portfolio — paid platforms and open-source tools
- [K-Dense Web](https://www.k-dense.ai/products/k-dense-web): Flagship hosted AI research agent
- [About](https://www.k-dense.ai/about): Company mission, team, values
- [Use Cases](https://www.k-dense.ai/use-cases): 79+ real research examples
- [Pricing](https://www.k-dense.ai/pricing): Personal, Plus, Team, Enterprise, and open-source
- [Enterprise](https://www.k-dense.ai/enterprise): Custom integrations & deployment
- [Research Grant Program](https://www.k-dense.ai/research-program): 90% off Team plan for research orgs
- [Blog](https://www.k-dense.ai/blog): Insights & updates
- [Tutorials](https://www.k-dense.ai/tutorials): Step-by-step video tutorials
- [Newsletter](https://www.k-dense.ai/newsletter): AI research updates
- [FAQ](https://www.k-dense.ai/faq): Frequently asked questions

## Recent blog posts

- [K-Dense Web vs. Claude Science: K-Dense Leads on Execution and Overall Score](https://www.k-dense.ai/blog/k-dense-web-vs-claude-science) — A 20-task benchmark found K-Dense Web stronger at producing auditable research bundles, while Claude Science held a narrow scientific-quality lead.
- [Benchmarking Google's Omni Flash for Scientific Video](https://www.k-dense.ai/blog/benchmarking-google-omni-flash-scientific-video) — A 35-case K-Dense benchmark of Google's Omni Flash shows stunning scientific video quality, but unreliable text, physics, and factual correctness.
- [Benchmarking Nano Banana 2 Lite for Scientific Image Generation](https://www.k-dense.ai/blog/benchmarking-nano-banana-2-lite-scientific-image-model) — A 240-image benchmark of four scientific image models shows Nano Banana 2 Lite is fastest, while GPT Image 2 still leads on raw figure quality.
- [AI Scientists Need Lab Escape Rooms, Not More Exams](https://www.k-dense.ai/blog/science-needs-better-black-boxes) — The next AI scientist benchmark should be a lab escape room: a fresh hidden world, limited probes, real evidence, and no place for science theater to hide.
- [Benchmarking NVIDIA BioNeMo Agent Toolkit Skills for NIM microservices](https://www.k-dense.ai/blog/benchmarking-nvidia-bionemo-nim-skill) — A controlled benchmark of 10 NVIDIA BioNeMo Agent Toolkit skills for NIM microservices shows where skills win: routing, cost, scale, and weak-model reliability.
- [Reproduction, Not Generation, Is AI's Killer App for Science](https://www.k-dense.ai/blog/reproduction-not-generation-ai-for-science) — AI is flooding science with claims no one can check. The quieter story: agents now reproduce most published findings — and that is the bigger deal.
- [Can an AI Agent Run Your Mass Spec Pipeline? Benchmarking the PyOpenMS Skill](https://www.k-dense.ai/blog/benchmarking-pyopenms-skill-mass-spectrometry) — A reproducible 250-run study of feature detection, adduct grouping, quantification, and identification, run by an AI agent with and without the pyOpenMS skill.
- [The Week Science Models Became Real](https://www.k-dense.ai/blog/frontier-science-models-arrive) — Fable 5 and GPT-Rosalind show frontier AI moving into scientific workflows. The next bottleneck is not intelligence, but evidence.

Full post text is available at `https://www.k-dense.ai/blog/<slug>.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://www.k-dense.ai/sitemap.xml
- RSS feed: https://www.k-dense.ai/feed.xml
- Summary LLM context: https://www.k-dense.ai/llms.txt
- Well-known LLM context: https://www.k-dense.ai/.well-known/llms.txt
- Full LLM context: https://www.k-dense.ai/llms-full.txt
- Typo-safe LLM context alias: https://www.k-dense.ai/llm.txt
- Blog raw markdown: https://www.k-dense.ai/blog/<slug>.md

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Last updated: 2026-07-16