We are in constant pursuit of business models that align with this vision.
We know we must act on climate change, but how can we fund that action?
How do we create secondary data markets that open new markets and economic pathways?
How do we shift healthcare in the United States to move from a fee-for-service to a fee-for-value model?
Our belief is that commercial channels can drive real change. Private sector innovation will drive public policy and action because economies can not be sustained by mandate through legislation. Verdant is committed to the pursuit of these channels.
In the last 5 years, companies in healthcare AI have received $5.8B in equity funding and by 2025 the digital health industry is expected to reach $509B. Verdant has built several AI-driven digital health products leveraging years of expertise in the digital health sector and is closely connected to the entire ecosystem of entrepreneurs, provider networks, accelerators, and investors.
The Ocean Economy contributed $1.5T globally in 2010, and is estimated to reach $3T by 2030 according to the OECD. We have seen a recent surge of ocean-based, autonomous robots collecting petabytes of data, and the secondary data markets this data will support. The data-rich nature of the ocean economy equates to an ecosystem in need of actionable insights, which the Verdant team is well-positioned to provide in favor of positive ocean action. Our team has a personal interest in this sector, given that our founder, Brian, focused on kelp restoration in graduate school.
Clean Energy has been on our minds for decades. Not only can we now tap the virtually unlimited power of the sun, but modern technology allows us to efficiently use biomass, waste, and even plastics as fuel. Clean energy is estimated to be a $1.5T global market by 2025. As a team focused on solving the world’s most formidable problems, we believe in the power of technology to accelerate our global economic transition to clean energy and away from fossil fuels.
Law is a core function of civilization, with technology serving as a driving force in the establishment of justice and equality for all. The massive potential of legal tech stems from its data-rich nature in an arena of complex knowledge bases, reasoned arguments, and detailed analyses, making a fertile garden for advanced Artificial Intelligence solutions.
Medical tech and devices are not only central to patient treatment and care, but also segments that will touch most of us personally at some point in our lives. Here at Verdant, we take our role in developing advances in healthcare to heart. Whether that means designing a device to reduce dementia, or detecting infections in children with brain tumors, we take the responsibility as a personal one and immediately jump in to help. We are not alone; the medical device sector has been valued at $147B by Emergo.
The ag-tech revolution is upon us, creating an abundance of new data opportunities. IoT sensors, remote monitoring, drone surveys, and in-the-field robotics are creating fertile data grounds for AI-driven insights that can drive efficiencies in productivity that will serve our ever-growing global populations. Verdant is leveraging its Enterprise Grade Artificial Intelligence solutions to capitalize on this $495B market.
A strong data strategy should form the foundation for your business transformation through AI. Our extensive experience in the field means that we have the foresight to anticipate future business needs and spark innovation.
We are AI specialists that have a passion for applying machine learning, advanced analytics, statistical learning, genetic algorithms, and more in order to solve complex business problems.
Brian almost pursued a career in music before a lab accident involving long-day vs. short-day plants set him on a math and science bender. Surfacing with an MA in Pure Mathematics from UCLA as well as an MS in Bio-Mathematics from the David Geffen School of Medicine, Brian prepared a deep dive into academia to prove that a man can indeed serve two Masters’. Around this time, he got himself in a family way, necessitating a transition to industry. Climbing from Director of Research Analytics at FOX/MySpace to Chief Scientist at Greenplum, and thence to enterprise analytics consulting for such clients as EMC, T-Mobile, the U.S. Intelligence Community, and Research In Motion, Brian went on to succeed as a serial entrepreneur. Among other companies, he co-founded Qurius, Deep 6 and Discovix, before solidifying the “AI Technical Cofounder” model of Verdant AI. When not contemplating graph entropy or the spectral theorem, Brian enjoys family time most of all, followed by beer-league hockey, ocean diving, and playing the Irish tenor banjo.
Paul Kapenga is an experienced 22-year Enterprise Business Development executive and entrepreneur. His corporate experience includes holding executive positions with companies such as GE Healthcare, Siemens Healthineers, Automatic Data Processing, Konica Minolta Medical, and Smith & Nephew prior to beginning his entrepreneurial journey where he founded 3 companies with 2 successful exits.
Mitch Lewis previously worked as a comic/film concept artist, a street fiddler, a member of a fireworks crew, and a systems support specialist in data centers with those nifty suction cup floor tile pullers. He was called a “magic genie” by Wells Fargo for his ETL solution and was described by IBM as a “draft pick” (round not specified). A client of his editorial services called him “David Foster Wallace’s ghostwriter” in lieu of pay. A restaurant loved his review so much they offered him a free meal, and his picture made the front page of his hometown paper. He enjoys urban trekking, bicycling, and building Raspberry Pi clusters. His favorite graph is the cortical homunculus.