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.
classically inspired artificial intelligence
Vitru is inspired by the Vitruvian principles of strength, utility, and beauty. We believe durable AI systems should be reliable in operation, valuable to the people using them, and thoughtfully designed for the environments in which they must perform.
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. My experience comes from working at the intersection of enterprise AI, measurement, validation, and technology implementation. My focus is helping organizations move from promising AI demonstrations toward trusted, scalable capabilities that can evolve as models and technologies improve.
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
OUR TEAM
Sougol Mortezavi
Director of Operations
Ahmad Sweed
Software Engineer
Marc Karam
Full-Stack Developer
solutions
Design data, workflow, governance, monitoring, and integration foundations that allow the underlying models to improve or change.
That aligns naturally with the argument in your new article without exposing your detailed implementation playbook.
industries
Life Sciences & healthcare
Use cases across clinical, patient, research, and administrative settings
Tech: Computer vision, computer aided detection (CAD), NLP, Graph based.
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,
Regulated Industries
Heavily regulated industry experience.
Enterprise Knowledge & Decision Workflows
Knowledge Graphs
clean energy
Use cases:
Tech:
Outcomes:
Research Intensive Organization
R&D
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.