Find the right plant for your body, mind, and life — powered by advanced AI trained on 50,000+ botanical studies.
Our AI synthesizes thousands of scientific sources to give you precise, personalized botanical guidance.
Search by symptom, condition, mood, or goal. Our NLP engine understands natural language and matches you with the most relevant botanicals.
Powered by a specialized model trained on peer-reviewed phytomedicine research, herbalism traditions, and clinical trial data.
Detailed profiles including active compounds, mechanisms of action, dosage guidelines, interactions, and evidence quality ratings.
Real-time results in under 2 seconds. No signup required for basic search. Advanced personalization with a free account.
Available in English and Traditional Chinese (廣東話), with more languages on the roadmap including Bahasa Indonesia and Japanese.
Your health queries are never stored or sold. All searches are processed with end-to-end privacy. No tracking, no ads.
Three simple steps from question to botanical wisdom.
Type a symptom, goal, or feeling in plain language. No medical jargon required.
Our model cross-references 50,000+ studies and traditional knowledge bases to find the best match.
Get actionable guidance on preparation, dosage, sourcing, and safety considerations.
Botanica AI was founded in April 2024 by a team of botanists, data scientists, and wellness practitioners who believed that plant-based health knowledge was too fragmented and inaccessible.
We built a proprietary dataset combining peer-reviewed phytomedicine research, traditional herbalism texts from Asia, Europe, and the Americas, and real-world user outcomes — then trained a specialized AI model to synthesize it all into actionable guidance.
A multidisciplinary team united by a passion for plant medicine and responsible AI.
PhD in Phytomedicine from NUS. 12 years researching traditional Chinese herbal medicine. Led clinical trials on adaptogen efficacy.
Former ML engineer at DeepMind. Built and scaled AI health platforms to 1M+ users. Ayurvedic enthusiast and long-time herb gardener.
Ethnobotanist with fieldwork across the Amazon basin and Southeast Asia. Advisor to WHO traditional medicine programs.
Ex-Figma senior designer. Specializes in health UX. Multilingual product design across Asian markets.
This whitepaper outlines the technical architecture, dataset methodology, and ethical framework behind the Botanica AI engine. It is intended for researchers, developers, and institutional partners interested in understanding how we operationalize botanical knowledge at scale.
Plant-based health knowledge is distributed across thousands of journals, traditional texts, and practitioner networks in dozens of languages. This fragmentation makes it inaccessible to the average person and even to many clinicians. Botanica's mission is to synthesize and democratize this knowledge through responsible AI.
Our training corpus includes 50,000+ peer-reviewed studies from PubMed and WHO databases, 8 traditional herbalism canon texts (TCM, Ayurveda, Western herbalism), and a curated practitioner knowledge layer validated by our scientific board. Data is refreshed quarterly.
Botanica uses a fine-tuned transformer architecture with a specialized botanical ontology layer. Retrieval-Augmented Generation (RAG) ensures responses cite real sources. A confidence scoring system flags low-evidence recommendations for user transparency.
All outputs include evidence quality ratings (Grade A–D) and contraindication flags. The system refuses to provide advice for serious medical conditions and always recommends professional consultation. Personal data is never stored or used for training without explicit opt-in.
From launch to global platform — our milestones from April 2024 onward.
Core team assembled. Initial dataset compilation of 20,000 botanical studies. Architecture design finalized. Seed funding secured.
Private alpha released to 500 beta testers. Core search engine live. First model training run completed. Feedback loop established.
Open beta launch. Cantonese/Traditional Chinese support added. Dataset expanded to 35,000 studies. Partnership with two herbalism institutes signed.
Full platform launch. Whitepaper v1.0 published. 50,000 study corpus complete. User accounts and personalization released. 5,000+ active users in first month.
iOS and Android apps in development. Public API for developers and integrators. Bahasa Indonesia language support. Community features beta.
Advanced features for herbalists and naturopaths. Client management tools. Evidence-grade reporting for clinical contexts. Japanese language support.
Partnerships with major research universities. Expansion to 10 languages. Community knowledge contribution model. Botanica Foundation launch for biodiversity research.