About

Our Company

Welcome to Ziplitics, where we are redefining preclinical and clinical research in the life sciences. Our commitment to transparency and accuracy has led us to develop and validate LRN, an innovative explainable AI platform, over the course of 4 years. LRN is expediting the development of life-saving pharmacotherapies and medical devices.

Join us in establishing the global gold standard for AI in healthcare research, where groundbreaking discoveries that improve patient outcomes are only minutes away.

Our Mission

Bring explainable artificial intelligence into healthcare—so every decision is led by expertise and every result is reliable and reproducible.

The Ziplitics approach empowers experts by integrating sophisticated automations with transparent algorithms, catalyzing significant advancements while removing cost and time barriers in research.

Our Vision

A world where no life is lost to delays in research.

A world where the timeline from bench side to bedside for safe, efficacious, and personalized therapies is shortened from years to a week. Partnering with leading global experts, we are setting the universal gold standard for AI-assisted healthcare research— upholding transparency, accuracy, reproducibility, and efficiency.

Our Leadership

The people behind Ziplitics

Meet the co-founders building LRN—explainable AI for evidence research in the life sciences.

Joshua Morriss, Ph.D.

CEO & Co-Founder

Joshua Morriss, Ph.D.

Inventor of LRN and CEO of Ziplitics—leading explainable AI for systematic reviews and evidence decisions.

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Daniel Reibsamen

CTO, CFO & Co-Founder

Daniel Reibsamen

Co-founder leading technology and finance—building the secure, scalable systems behind LRN.

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Milestones

How LRN took shape

  1. 2019

    Creation of LRN

    What is now our proprietary machine learning and deep learning algorithms started out as a simple natural language processing algorithm. Over the years, LRN underwent several iterations of development and improvement. Soon, LRN v1.0—the first explainable AI platform for literature reviews—was released, enabling researchers to complete PRISMA-compliant systematic literature reviews in under 500 minutes.

  2. 2023

    LRN 2.0 Release

    Development of LRN version 2.0 came with the addition of several LRN agents for structuring large datasets, ETL processing, meta-analyses, experimental method development, and statistical analyses. Over the years, LRN was deployed across drug development and medical device pipelines—from preclinical omics research to real-world evidence. Case studies backed LRN as a validated and peer-reviewed explainable AI platform for life sciences research.

  3. 2024

    Initiative for Responsible, Explainable AI

    Now backed by peer-reviewed studies, research universities, and professional organizations, Ziplitics’ explainable AI solutions are raising the bar for accurate, transparent, and reproducible research. Working with regulators and legislators, we are on a mission to ensure responsible AI is adopted in healthcare and health research—so lives are saved by eliminating delays in research.

Next step

Together, we are not just envisioning faster research—we are building it.

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