Insilicom

IPV

An AI-powered pharmacovigilance platform

AI-powered drug adverse event literature monitoring system that reduces your workload by at least 10-fold compared to manual review of relevant literature.

  • Expert-level extraction of drug adverse event information from PubMed literature
  • Free for individual pharmacovigilance scientists to manage up to three drugs
  • API for automated, programmatic access and bulk searches

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BioKDE

A Deep Learning Powered Biomedical Knowledge Discovery Engine

We provide advanced literature search and knowledge discovery tools using deep learning and knowledge graph based methods

  • Outperforming other search engines

  • Visualizing information in scientific articles using interactive knowledge graphs

  • Powerful and versatile relation search tool

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IDEAL

Insilicom's Data Exploration andALignment Tool Suite

The lDEAL platform comprises three transformative tools designed to revolutionize cancer genomics data science.

  • Metadata Harmonization Tool-Standardizing Cancer Genomics Data

  • Data Submission Tool-Simplified Cancer Genomic Data Submission

  • Data Query and Exploration Tool-Conversational Access to Genomic Databases

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Blogs

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News 1
2025/11/20

I’m excited to share a new tool we just released: IPulse

IPulse monitors the latest discoveries in biomedical sciences by continuously parsing new literature and extracting structured knowledge from it.We started with ESMO 2025. Our system processed all the abstracts and automatically identified:• Treatments• Targets• Clinical trial inf

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2025/03/18

Our paper on knowledge graph is now online

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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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2026/06/02

What can AI really do in literature monitoring of Adverse Events (AEs)?

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2026/06/01

The Billion-Dollar Headache: Why Your Data Doesn't Talk to Each Other

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2026/06/01

The companies still debating whether to use AI in pharmacovigilance are asking the wrong question.

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