more than just buzzwords,
this is what we know.
Why AI?
Artificial intelligence (AI) systems are comprised of computers and software simulating human cognitive functions - exercises like planning, decision making, problem solving, reasoning, and learning.
Algorithms instruct an AI model to autonomously perform repetitive tasks, or identify + forecast underlying trends in large datasets using advanced statistics.
As more information is processed, AI programs get better at their job, enabling you to focus on the the most meaningful work for yourself, your team, and your business.
5.8
trillion
54%
110
billion
20.1%
Dollars of potential future value (USD) to be generated through AI
Estimated year-over-year growth across AI markets from 2019-2020
Dollars in projected global spending (USD) on AI tech over the next four years
Forecasted compound annual growth rate in AI spending through 2024
Statistics courtesy of Statista and the International Data Corporation (IDC)
classically inspired artificial intelligence
Marcus Vitruvius Pollio, historically known as Vitruvius, was an architect and engineer in 1st century BC, at the dawn of the Roman empire.
Vitruvius conceived the notion that all lasting structures must have three attributes: firmitas, utilitas, and venustas (strength, utility, and beauty). His literary magnum opus, De Architectura, outlined a philosophy that the human body serves as an analogy to the divine proportions in nature, and that these symmetries should thus be reflected in architecture and design.
His book was the gold standard for design philosophy and practice for centuries, most famously setting the stage for Leonardo Da Vinci's Vitruvian Man, a symbol illustrating the profound human capacity to comprehend the inextricable links between mathematics, science, and the arts.
As modern architects of artificial intelligence systems, we believe in grounding our work in these same time-tested principles of design: strength, utility, and beauty.
Siavash Mortezavi
Technical Advisor
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Welcome to VITRU - my name is Siavash, and I'm our Founder and the Chief Scientist Advisor. We built VITRU with the vision of developing advanced artificial intelligence software to enable organizations to collate their processes into streamlined algorithms and automated workflows. Our passion lies in helping others find new opportunities, using cutting-edge technology to help you grow your business through efficient, scalable, and impactful digital solutions and artificial intelligence models.
OUR ADVISORS
Jacob Lindeman
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Director - Jacobi Vibes, LLC.
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Former CTO/Founder - Galaxy.AI
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Former COO - REVON Systems
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Baystate Health TechSpring Innovation Center Resident
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Computer Science Faculty - Worcester Polytechnic Institute (WPI)
Yannet Interian, PhD
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PhD. Applied Mathematics - Cornell University
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Founder - Ankulaab Inc.
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Professor - University of San Francisco, formerly UC Berkeley
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Experience at Google/YouTube
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BS Mathematics - University of Havana, Cuba
Richard Schwab
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CTO - Brevity Pitch AI
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Former Head of R&D - Galaxy.AI
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Professional Data Engineer & Artificial Intelligence Researcher
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Previously Bill Gates Foundation
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Experience at World Bank/World Health Organization (WHO)
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BS Computer Engineering - Syracuse University
OUR TEAM
Sougol Mortezavi
Director of Operations
Ahmad Sweed
Software Engineer
Erin Averill
Research Development Manager
Marc Karam
Full-Stack Developer
Data Scientist
Quentin Gravet
solutions
industries
healthcare + medical
Use cases across clinical, patient, research, and administrative settings
Tech: Computer vision, computer aided detection (CAD), natural language processing (NLP), database engineering and management
Results: Automation of administrative work, more accurate diagnostics, improved patient satisfaction
sports
Use cases: movement tracking...
Tech: computer vision, etc...
Outcomes: enhanced player performance, strategic coaching,
sports
Use cases for player/team analysis, strategic coaching, and broadcasting
Tech: Wearable sensors, Machine Learning (ML), computer vision, database engineering and management
Results: Improved athlete performance and safety, accelerated coaching results, engaging spectator experiences
clean energy
Use cases:
Tech:
Outcomes:
clean energy
Use cases in electricity, solar, wind, nuclear, and disaster recovery
Tech: "smart grids", machine learning (ML), deep learning + neural networks, predictive analytics
Results: Reduced CO2 emissions, scalability for enterprise + consumer use, automated renewables management, cost savings
We have expertise in all points of the product development process. Anywhere from crafting the right AI strategy for your organization, to working side-by-side with your team in deploying innovative products and features, we have the tools to automate and optimize your operations.