think green
From engineers for engineers.
Simplifying efficiency and impact measurements
Enabling savings on portfolio and individual asset levels
Enhancing financial returns and asset value
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
Manual & unreliable data
Highly inefficient process: up to 150 billable hours per project spent on manual tasks
Cost prohibitive: up to $30,000 of billable hour costs per project
Static results that do not allow for real-time client feedback
Limited ability to scale business & increase margins
AI-backed data analytics
Highly efficient process: up to 150 hours of manual work cut down to 30 minutes of automated results
Cost effective: up to 90% decrease in billabe hour costs
Dinamic results that allow for real-time client-provider collaboration
Exponential ability for scaling and high margin efficiencies
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 extraction
energy modeling & calibration
recommendations & costing engine
financial analytics
portfolio optimization & 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
CEO & 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.
COO & 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.
CTO & Partner
Thomas is a technology leader with deep expertise in high‑performance computing, advanced modeling, and applied AI. He has built scalable, data‑intensive systems across fintech and scientific computing environments, drawing on a strong foundation in numerical methods and software architecture. Thomas earned his PhD in 2016 from Harvard University, where he developed novel approaches for modeling correlated harmonic bath systems and long‑range van der Waals interactions, supported by high‑performance code in C, Fortran, and Python. He continues to drive innovation at the intersection of large‑scale infrastructure and intelligent systems
Technical Lead
Thomas is a technology leader with deep expertise in high‑performance computing, advanced modeling, and applied AI. He has built scalable, data‑intensive systems across fintech and scientific computing environments, drawing on a strong foundation in numerical methods and software architecture. Thomas earned his PhD in 2016 from Harvard University, where he developed novel approaches for modeling correlated harmonic bath systems and long‑range van der Waals interactions, supported by high‑performance code in C, Fortran, and Python. He continues to drive innovation at the intersection of large‑scale infrastructure and intelligent systems
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.
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.
