Resources for journalists, analysts, podcast producers, and partners. If you need something that isn't here, email press@quantumhorizon.ai and we'll send it.
Primary logo, available in SVG (vector, scalable) and PNG (raster, transparent background). For dark backgrounds; a light-on-dark variant is in the kit.
One-paragraph and one-sentence variants for your style sheet. Free to use without attribution.
Dr. Leonardo Lawrence, Founder & CEO. Short and long bio variants, with credentials, patents, and publication links.
For interview requests, podcast invitations, and analyst briefings.
Short (one sentence). Quantum Horizon AI is a Virginia-based AI engineering firm building production machine learning, generative AI, and data science systems for healthcare, defence, finance, manufacturing, and the public sector.
Long (one paragraph). Quantum Horizon AI is a Virginia-based AI engineering firm founded in 2022 by Dr. Leonardo Lawrence. The firm builds production machine learning, generative AI, IoT and edge inference, data science, business intelligence, and predictive maintenance systems for regulated industries where being right matters and being explainable is required. Engagements span healthcare, defence, finance, manufacturing, logistics, and the public sector, and follow a four-step discipline: discover the decision, design the simplest model that works, deploy with monitoring and a runbook, and optimise on a cadence that fits the domain.
Short. Dr. Leonardo Lawrence is the Founder of Quantum Horizon AI, an AI engineer with years of experience in the U.S. federal government, a college professor of AI and machine learning, the named inventor on two U.S. patent-pending AI systems, and the author of multiple peer-reviewed publications.
Long. Dr. Leonardo Lawrence is the Founder of Quantum Horizon AI, which he established in 2022. He has years of experience working in the U.S. federal government and is a college professor of artificial intelligence and machine learning, teaching graduate and doctoral students, mentoring their research, and advising on capstone and dissertation work. He is the named inventor on two U.S. patent-pending AI systems, one for AI-driven supply chain optimisation, the other for a multilayer cognitive AI architecture, and the author or co-author of peer-reviewed research on adaptive encryption, deep learning for early-disease detection, large language model integration in enterprise systems, and machine learning for breast-cancer screening. His technical work covers machine learning, deep learning, operations research, data science, and big data analytics. He holds a Doctorate in Computer Science with a concentration in big data analytics, a Master of Science in Artificial Intelligence and Machine Learning (Distinguished Scholar), graduate certificates in data science and college teaching, a Bachelor of Science in Electrical Engineering with a mechatronics concentration (Magna Cum Laude), and a Master of Arts in Homeland Security focused on counter-terrorism. He is a Senior Artificial Intelligence Engineer (ARTIBA) and Senior Data Scientist (DASCA), and prior to academia and federal service served as an Infantry Squad Leader in the United States Marine Corps with operational deployments to Afghanistan.
If you're researching production AI in regulated industries, we'll get back to you within one business day. Quotes, technical clarification, and on-record interviews all welcome.
