# K-Dense Web > K-Dense Web is an AI agent that autonomously executes complex tasks across science, engineering, healthcare, finance, and beyond. From question to insight, problem to solution. For the comprehensive version of this file with full page content, see: https://k-dense.ai/llms-full.txt ## Company Information - **Company Name**: K-Dense - **Product**: K-Dense Web - **Website**: https://k-dense.ai - **Application**: https://app.k-dense.ai - **Tagline**: Research. Analyze. Synthesize. - **Location**: 380 Portage Ave, Palo Alto, CA 94306 - **Contact**: contact@k-dense.ai - **Founded**: 2024 ## What K-Dense Web Does K-Dense Web is a fully hosted AI platform that autonomously: 1. **Analyzes Data**: Upload CSV, Excel, FASTA, PDB, SDF, and many other formats for automatic analysis 2. **Runs Machine Learning**: Automatic model selection, hyperparameter tuning, and SHAP interpretability 3. **Generates Professional Outputs**: Papers, slides, figures, and manuscript-quality documentation 4. **Supports Multiple Domains**: Science, engineering, healthcare, finance, market research, and more ## Domains Supported - Scientific Research & Bioinformatics (genomics, drug discovery, proteomics, clinical research) - Finance & Investment (risk modeling, forecasting, portfolio analysis) - Market Research & Competitive Intelligence - Engineering & Technical Analysis (optimization, simulation, quality control) - Healthcare & Clinical Data (clinical trials, biomarker discovery, EHR) - Environmental Science (climate modeling, GIS, time series forecasting) ## Pricing 1. **Claude Scientific Skills** (Free): Open source, MIT licensed — https://github.com/K-Dense-AI/claude-scientific-skills 2. **K-Dense Web** ($50 free credits): Pay-as-you-go, three effort levels (Fast, Standard, Pro) 3. **K-Dense Enterprise** (Custom): Custom integrations, security, dedicated support ## Key Differentiators - End-to-end pipeline from raw data to publication - Intelligent model selection and hyperparameter optimization - Publication-ready outputs (papers, slides, figures) - Data-grounded outputs with reduced hallucinations - Full code execution (Python, R, ML pipelines) - 45+ documented real-world use cases ## Security & Compliance - SOC 2 Type II compliance (Enterprise) - HIPAA-ready infrastructure (Enterprise) - Data encryption at rest and in transit - No training on user data - Private deployment options (cloud, on-prem) ## Links - [Homepage](https://k-dense.ai) - [About](https://k-dense.ai/about): Company mission, team, values - [Use Cases](https://k-dense.ai/use-cases): 45+ real research examples - [Pricing](https://k-dense.ai/pricing): Free tier, pay-as-you-go, enterprise - [Enterprise](https://k-dense.ai/enterprise): Custom integrations & deployment - [Blog](https://k-dense.ai/blog): Insights & updates - [FAQ](https://k-dense.ai/faq): Frequently asked questions ## Social Links - GitHub: https://github.com/K-Dense-AI - Twitter/X: https://x.com/k_dense_ai - LinkedIn: https://www.linkedin.com/company/k-dense-inc - Slack: https://join.slack.com/t/k-densecommunity/shared_invite/zt-3iajtyls1-EwmkwIZk0g_o74311Tkf5g ## Machine-Readable Resources - Sitemap: https://k-dense.ai/sitemap.xml - RSS Feed: https://k-dense.ai/feed.xml - Full LLM context: https://k-dense.ai/llms-full.txt --- Last updated: 2026-02 Version: 3.0