Literature
Ranked PubMed abstracts with short citation links and snippets — claims you can click through and read.
Grounding and hallucination control for AI agents
Give AI agents answers they can prove.
Grounded is an MCP-first evidence layer for AI agents and LLM systems. It grounds claims in trusted literature and real product data, keeps uncertainty and safety signals visible, and suppresses unsupported claims before they quietly become confident answers.
~230k
Peer-reviewed PubMed abstracts, AI-indexed for search
15,211
Skincare products with full ingredient lists
4,255
Supplement products with ingredient details
28,354
EU cosmetic-ingredient safety records
How it works
Evidence
Ontology
Safety
Commerce
Four layers between an AI agent and an unsupported answer.
Most AI assistants collapse retrieval, reasoning, safety, and product data into one confident paragraph. Grounded keeps each signal inspectable, so agents can cite what they know and expose what they do not.
Domain meaning
Each field gets its own vocabulary and query expansion, so retrieval behaves like the domain it serves.
Cautions
Contraindications, pregnancy filters, and label warnings stay explicit instead of vanishing behind one number.
Products
A real catalog with images, ingredients, dosage, and timing sits beside the evidence — not instead of it.
Live demos
Live
Live
Interactive
See the grounding layer behind an AI agent.
Each demo runs the full agent grounding pipeline over real data: request, retrieval, evidence, ranked options, confidence, and safety.
Skincare
Skin conditions routed through a causal graph, ranked literature, and AM/PM routine ingredients backed by a real product catalog.
Supplements
Supplement requests grounded in PubMed evidence, with product images, ingredient cues, dosage text, and FDA / label caution context in one view.
Intake survey
A clinician-style differential: one short question at a time narrows the request, then grounds the result in evidence and a safety check — routing, not diagnosis.
Why it's different
Hallucination suppression, not another chatbot wrapper.
- Unsupported claims fail visibly. Agent output can carry citations, confidence, and explicit unknowns instead of invented certainty.
- Sources stay visible. Every supported claim can show the papers and citation links behind it.
- Meaning is domain-specific. Skincare and supplements each get their own ontology and expansion.
- Safety is never hidden. Contraindications and label warnings are surfaced, not averaged away.
- Commerce sits beside evidence. Product cards carry ingredients, dosage, timing, and caution next to the science.
"A standard store shows you a product grid. Grounded shows you the grid plus the literature snippets,
the reason each option matches, and the dosage and safety context — so the decision rests on what's actually there."
— The Grounded evidence contract
Get in touch
Ground your AI agent on your domain.
Evaluating an AI agent for skincare, supplements, or another high-stakes catalog? We'll show the evidence gates behind a live answer, then scope the same grounding contract for your data and tools.