Insilicom

IKraph API

An AI-powered Biomedical Knowledge Graph API

Transform biomedical literature into structured, evidence-backed knowledge for research and other applications through a simple REST API

  • Largest biomedical knowledge graph
  • Evidence-backed relationship discovery
  • Multi-hop reasoning for hypothesis generation

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NutriKraph

AI-Powered Personalized Nutrition Planning

Personalized, evidence-grounded nutrition recommendations delivered directly to individuals or through healthcare professionals supporting patient care

  • Tailored nutrition recommendations based on individual health profiles
  • Evidence-grounded dietary guidance with scientific transparency
  • User-friendly nutrition planning with dietitian collaboration

 

 

 

IVERI

AI-Powered Citation and Evidence Intelligence for Scientific Writing

Improve the accuracy and credibility of biomedical manuscripts with context-aware citation recommendations and evidence verification powered by AI and biomedical knowledge graphs

  • Recommend relevant citations that support scientific claims in context
  • Strengthen manuscripts with complementary, evidence-backed citations
  • Gain recognition in your field as other researchers discover and cite your work

 

 

 

News 1
2026/02/11

Introducing IPAB-AT-2026.01: The First PV AI Baseline for Article Triage

As part of the PV AI Benchmark Initiative, we’re releasing our first benchmark baseline:Insilicom PV AI Baseline – Article Triage – 2026.01 (IPAB-AT-2026.01).Article triage is the entry point of literature monitoring in pharmacovigilance. Every downstream step, adverse event extraction, Med

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News 2
2022/12/31

Winner of the NIH LitCoin Natural Language Processing (NLP) Challenge (2022)

Winner of the NIH LitCoin Natural Language Processing (NLP) Challenge (2022)

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