think green
Our mission is to drive environmental impact through financial success
Simplifying decarbonization and impact measurements
Enabling pathways to net zero on portfolio and individual asset levels
Enhancing financial returns on decarbonization
Our mission is to drive environmental impact through financial success
Simplifying decarbonization and impact measurements
Enabling pathways to net zero on portfolio and individual asset levels
Enhancing financial returns on decarbonization
Physical human audit
Manual & unreliable data
Time-consuming: 4-8 weeks
Expensive
$30,000 - $100,000 price range
Not scalable
Decarbonization journey is not linked to financial view of the asset
Unclear path forward based on the produced report
Automated energy audit
AI-backed data analytics
Real-time & ongoing results
Cost efficient
Scalable – portfolio & individual asset analytics
Decarbonization journey directly linked to financial view of the asset
Full journey view from initial audit to financing applications and construction tender
Physical human audit
Automated energy audit
Manual & unreliable data
AI-backed data analytics
Time-consuming: 4-8 weeks
Real-time & ongoing results
Expensive
$30,000 - $100,000 price range
Cost efficient
Not scalable
Scalable – portfolio & individual asset analytics
Decarbonization journey is not linked to financial view of the asset
Decarbonization journey directly linked to financial view of the asset
Unclear path forward based on the produced report
Full journey view from initial audit to financing applications and construction tender
Automated data ingestion
AI-powerd automated energy audit reports
Decarbonization pathways
Financial implications
Marketplace
Clarity around
payback timelines and associated operating cost reductions
Linkage between decarbonization and future asset vacancy, NOI and cap rate
Summary of
regulatory benefits
of the project
Summary of municipality-specific carbon penalties avoided
Pre-qualified financing opportunities via public and private lenders
Co-Founder
Katya brings to the team over 12 years of experience in commercial real estate in Canada with a specialization in tenant representation, office relocations, national portfolio optimization and strategic acquisitions and dispositions. Top 50 Canadian producer and President’s Round Table member in 2017, 2018, 2019, 2020, 2022, and 2023. Top 10 Canadian producer in 2023. Katya graduated from Harvard Business School in 2023.
Co-Founder
Felix brings over 15 years of experience in technology and innovation fields, with specialization in sales, marketing, business development, and consulting. He worked for leading IT providers in the Swiss market, specializing in Cloud, AI & Data Science and Security fields. Prior to his role as Chief Sales & Marketing Officer, Felix spent 5 years as Head of Business Development, successfully building the cloud and outsourcing businesses, and leading the company through organic growth as well as multiple integrations. Felix graduated from Harvard Business School in 2023.
Technical Lead
Mehrshad is a seasoned Machine Learning Engineer with a strong background in AI systems design, large-scale infrastructure, and applied research. He has led cross-functional teams to deliver enterprise-grade AI solutions across the energy, cybersecurity, and industrial automation sectors. Mehrshad began his career at ExxonMobil and has since driven innovation at companies like Cvent, Arctic Wolf, and SensorUp. He holds a Ph.D. in Chemical Engineering from the University of Calgary, where his research focused on advanced analytics and environmental systems.
Data Analyst
Shailja brings a strong background in data analysis, software engineering with over nine years of experience across healthcare, energy, and technology sectors. She has led data-driven initiatives that improved system efficiency, reduced costs, and delivered actionable business insights. She began her career as a Senior Software Engineer at Tech Mahindra and Lionbridge. Shailja holds a Master’s degree in Computer Applications and a post-graduate diploma in Advanced Data Science from Metro College of Technology, Toronto.
Chief Product Owner
Ty Tucker operates as executive advisor to CRBNX, having two decades of startup, technology, and M&A experience. He has served as SVP of Loan Solutions for CoreLogic as well as corporate leader of their data strategy, supporting the global property and US mortgage industries at scale, having over $500B USD flowing through his portfolio as well as supporting $4B in buyside acquisitions. Additionally, he has operated as CEO, CPO and Managing Director for a variety of startups and consulting firms, yielding 3 exits and the largest proptech seed round in 2022 (BidMyListing at $22M seed, $140M post-money valuation) as well as has patents pending for multiple property analytics solutions. He is both a residential and commercial real estate developer with a portfolio that spans the US.
Head of Operations
Natalie is a dynamic and driven professional known for her strong motivation, collaborative spirit, and dedication to achieving results. With a profound passion for optimizing operational efficiency, she thrives in fast-paced and ever-changing environments. Natalie's commitment to streamlining processes and maximizing productivity ensures that she excels in delivering top-notch performance, even in the most demanding situations.
Machine Learning Engineer
Zubair is a Machine Learning (ML) Engineer who brings over 5 years of experience in ML, computer vision, and LLMs. He has worked across multiple countries—including Romania, Germany, and Canada—collaborating with diverse organizations and supporting NGOs. His international experience includes providing technical support to clients such as SBB Switzerland, Commerzbank, and AOK while working with GNC TCS Technology GmbH in Germany. Zubair has supported media organizations through Internews' Global Technology Hub providing reliable AI solutions. Zubair is passionate about building reliable ML systems and creating fast, testable services that transform messy unstructured and structured data into trustworthy insights. He earned his BSc in Computer Science from the University Politehnica of Bucharest and completed additional graduate-level studies in Artificial Intelligence.
Data Scientist
Julia Bolgova is a certified Data Scientist with a strong foundation in engineering, data analytics, and machine learning. She has over six years of experience in computational modeling, data analysis, and quality engineering within high-precision manufacturing and industrial systems. Julia has led data-driven projects that improved product reliability, optimized processes, and supported business decision-making. In her previous role, she combined data analytics and engineering expertise to monitor product quality, uncover performance trends, and optimize manufacturing workflows. With a background in quality and systems engineering, she focused on heat transfer, fluid mechanics, and aerodynamic simulations to enhance system performance and efficiency. She holds a Master’s degree in Applied Physics and completed postgraduate research in fluid mechanics and heat transfer at Tomsk State University in Russia. At CarbonX, she develops scalable data and machine learning solutions that enhance energy efficiency and decarbonization.
