nference Artificial Intelligence AI technology (nferX) enables Knowledge Synthesis from unstructured text & structured biomedical databases. To tackle the challenge of synthesizing the world's biomedical knowledge, we knew that artificial intelligence (AI) could be a tremendous asset... but that AI alone would not be sufficient to achieve our goal. We recognized from Day 1 that we needed experts in the biomedical world to be an integral part of our team. That’s why nference is comprised of successful serial entrepreneurs from the tech space and PhDs in Biology/Genomics from MIT and Harvard Medical School. Our knowledge synthesis platform - nferX - uses state-of-the-art Neural Networks (shallow and deep learning models) for real-time, automated extraction of knowledge from the commercial, scientific, and regulatory body of literature. The platform enables a diverse set of applications ranging from R&D to commercial strategy and operations in the life sciences ecosystem. By synthesizing the world's biomedical knowledge, we empower our Pharma and Biotech customers to uncover insights across their entire pipeline and commercial portfolio. We believe in empowering our customers - bioinformaticians, data scientists, computational biologists, biostatisticians, business analysts... - to write their own custom apps via the nferX APIs. We believe our collective efforts will maximize the power of the nferX platform in our customers' businesses.

nference Artificial Intelligence AI technology (nferX) enables Knowledge Synthesis from unstructured text & structured biomedical databases. To tackle the challenge of synthesizing the world's biomedical knowledge, we knew that artificial intelligence (AI) could be a tremendous asset... but that AI alone would not be sufficient to achieve our goal. We recognized from Day 1 that we needed experts in the biomedical world to be an integral part of our team. That’s why nference is comprised of successful serial entrepreneurs from the tech space and PhDs in Biology/Genomics from MIT and Harvard Medical School. Our knowledge synthesis platform - nferX - uses state-of-the-art Neural Networks (shallow and deep learning models) for real-time, automated extraction of knowledge from the commercial, scientific, and regulatory body of literature. The platform enables a diverse set of applications ranging from R&D to commercial strategy and operations in the life sciences ecosystem. By synthesizing the world's biomedical knowledge, we empower our Pharma and Biotech customers to uncover insights across their entire pipeline and commercial portfolio. We believe in empowering our customers - bioinformaticians, data scientists, computational biologists, biostatisticians, business analysts... - to write their own custom apps via the nferX APIs. We believe our collective efforts will maximize the power of the nferX platform in our customers' businesses.

Uses HL7 / FHIR standards to read / write to Epic using existing Flowsheets and clinical / operational workflows. Integrates multimodal data (structured data, notes, labs, images, wearable and sensor data) in realtime, applies LLMs and writes a digital biomarker to the EHR. 

20+ high impact peer reviewed manuscripts supporting real time, multimodal data capture and insights that drive physician documentation queries in real time; high predictive value and generalizabilty; automated abstraction; ability to "nudge" clinicians within EHR notes for missing diagnosis based on predictive analytics or missing documentation for treatment aligned with standards to improve quality reporting in real time.