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LEAP turns scientific literature, clinical data, and omics datasets into decisions your R&D team can actually make. From ingredient discovery to claims substantiation, in hours instead of months.
Manual literature review can take months. LEAP turns scientific literature into structured, connected knowledge, giving your team evidence-backed insights and discoveries for product development, messaging, or deeper review.
Ingredient effects, interactions, safety, and mechanism, synthesized evidence-grounded.
Ask LEAP about an ingredient, health target, or mechanism of action. It returns structured summaries grounded in primary literature, with claims traced back to their sources.
Use it to build a health claim, screen candidate ingredients, brief stakeholders, or prepare for regulatory review.
"PIPA's LEAP platform is revolutionizing the way food and beverage businesses do nutrition science."
— Marketing & Sustainability Director, ingredient manufacturer
Connect literature to molecules. Predict activity before a single assay runs.
LEAP's knowledge graph connects compounds to biological activity, food matrices, and health outcomes, helping teams find evidence-backed bioactives and synergies across edible plants, foods, fungi, and other natural sources, then narrow thousands of candidates down to the few worth testing.
"We were able to identify bioactive peptides and polyphenols in our upcycled plant protein, linked with positive health effects, in just a few short months."
— Ingredient manufacturer, upcycled protein
Generative AI grounded in LEAP's knowledge graph and primary literature.
LEAPChat combines language models with LEAP’s proprietary scientific knowledge graph, so answers are generative but sources are specific. Ask about a mechanism, compare two ingredients, brief a regulatory topic, or draft a claims argument. Every statement links back to the scientific paper or source it came from.
LEAPChat powers Mars' PHI platform, giving Mars Associates instant Generative AI summaries on thousands of ingredient and health topics, backed by primary literature.
— Deployed inside Mars Advanced Research Institute (MARI)
Structured evidence for EFSA, FDA, and global health-claim frameworks (coming soon).
Every health claim needs an evidence package: primary studies, mechanism, dose-response, and safety. LEAP builds that package by surfacing relevant literature, organizing it by claim architecture, and flagging evidence gaps. It also provides a structured EFSA health claim dossier framework, helping teams organize submission-ready information efficiently and focus on the details that matter.
EFSA-structured health claim dossiers to support nutraceutical and functional-food product launches.
— Functional food, nutraceutical, and supplement teams
Paragraph-level semantic search across 30+ million articles.
LEAP indexes scientific literature at the paragraph level, not the paper level. Ask a specific question and LEAP surfaces the specific passages that answer it — not just a list of relevant papers. Automated literature reviews across up to 100 articles. Topic discovery across 500-paper sets. Emerging research cluster identification. The work that used to take a scientist two weeks now takes an afternoon.
"Excellent teamwork with PIPA to articulate and prioritize our project goals prior to leveraging LEAP, PIPA's proprietary AI platform, to provide a focused and deep understanding of our target design space."
— General Manager, health technology partner
LEAP is built on PIPA's hybrid-model architecture — combining AI, chemistry, and omics data into a single interconnected map of ingredients, compounds, mechanisms, and health outcomes.
Millions of ingredients, compounds, and health entities connected through decades of scientific literature. The graph is the source of truth; every LEAP output traces back to it.
Generative AI that cites its sources. LEAP's LLMs are constrained by the knowledge graph, so answers are conversational but defensible.
Molecular structures, metabolomic pathways, and multi-omics datasets integrated into the graph — so LEAP reasons at the mechanism level, not just the citation level.
LEAP is in active use across pharma-adjacent food, premium nutraceutical, and global CPG research teams.
