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.

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.
"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 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).
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.
"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.

