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say hello to

a digital renaissance


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 solvingreasoning, 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.







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.


Davincis vitruvius man

Siavash Mortezavi

Technical Advisor

siavash (1).jpg
  • LinkedIn

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. 

about us

VITRU is an Artificial Intelligence (AI) consulting agency, specializing in some of the most cutting-edge technologies dominating the field today: machine learning (ML)computer vision, natural language processing (NLP) and MLOPS.


Jacob Lindaman

Jacob Lindeman

  • LinkedIn
  • Director - Jacobi Vibes, LLC.

  • Former CTO/Founder - Galaxy.AI

  • Former COO - REVON Systems

  • Baystate Health TechSpring Innovation Center Resident

  • Computer Science Faculty - Worcester Polytechnic Institute (WPI)

Yannet Interian

Yannet Interian, PhD

  • LinkedIn
  • PhD. Applied Mathematics - Cornell University

  • Founder - Ankulaab Inc.

  • Professor - University of San Francisco, formerly UC Berkeley

  • Experience at Google/YouTube

  • BS Mathematics - University of Havana, Cuba

Richard Schwab

Richard Schwab

  • LinkedIn
  • CTO - Brevity Pitch AI

  • Former Head of R&D - Galaxy.AI

  • Professional Data Engineer & Artificial Intelligence Researcher

  • Previously Bill Gates Foundation

  • Experience at World Bank/World Health Organization (WHO)

  • BS Computer Engineering - Syracuse University



Sougol Mortezavi

Sougol Mortezavi

Director of Operations

  • LinkedIn
Ahamad Sweed

Ahmad Sweed

Software Engineer

  • LinkedIn
Erin Averill

Erin Averill

Research Development Manager

  • LinkedIn
Marc Karam

Marc Karam

Full-Stack Developer

  • LinkedIn
Quentin Gravet

Data Scientist

Quentin Gravet

  • LinkedIn


Nurse And Patient in a hospital
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


Use cases: movement tracking...

Tech: computer vision, etc...

Outcomes: enhanced player performance, strategic coaching, 


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: 



Sustainable Energy
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.

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