We Make Electrical Grids More Efficient

Machine learning and comprehensive datasets enables unprecedented understanding of complex problems and optimal solutions, resulting in a better outcome for all.
At Invenia, we understand this.

Proven Energy Intelligence System

Invenia’s EIS helps manage and optimize power grid operations. It solves complex problems quickly by using high volume and high frequency data linked to AI based decision-making models.

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Energy Intelligence System

Invenia's EIS is a cloud-based machine learning platform that uses big, high frequency data to solve complex problems in real time. We use this technology to manage and optimize power grid operations.
optimization
We apply existing and develop new optimization techniques to make optimal decisions given our pattern recognition and prediction algorithms.
pattern-recognition
We analyze and find patterns in supply and demand of electricity, renewable generation and electricity price which help us make optimal decisions.
prediction
Electricity price, wind power or electricity consumption: We study the past, learn from it through automated algorithms and we predict the future.

What We Do

INTELLIGENT SOLUTIONS
Invenia EIS system links forecasting, pattern recognition and optimization to a model of the decision-making process customized to the user’s needs. The result is a decision recommendation, one that is the best answer to the problem that the user is trying to solve at any given time. The process involves understanding the problem from generation to transmission and delivery, adding massive efficiency along the way.
COMPLEX DECISIONS
Electric grids face the challenges of intermittent wind and solar power, huge volumes of smart grid data, and demand response. These factors have added significant complexity and increased the pace required for operational decision-making.
The Energy Intelligence System
Invenia's EIS is a cloud-based machine learning platform that uses big, high frequency data to solve complex problems in real time. We use this technology to manage and optimize grid operations.

Our Team

We are a team of scientists, researchers and developers that come from machine learning, engineering, computer science, economics, theoretical physics, mathematics and management.
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Leadership
Research
Development
Chief Executive Officer
Matt Hudson
Matt co-founded Invenia, and has been CEO from the start. He started Invenia while at Microsoft, after majoring in political science and economics with additional studies in computer science and engineering. He has developed a deep knowledge of the electrical grid, complex networks, and machine learning.
Chief Financial Officer
Nick Curry
Nick holds a M.Sc. in computer science, and an MBA specializing in finance from the University of Manitoba. He has more than 18 years of C-Level management experience, including work with employers Great West Life, and MTS Allstream.
VP of Technology
Christian Steinruecken
Christian completed his PhD under the supervision of Prof Sir David MacKay at the University of Cambridge (UK), and is a specialist in machine learning. He has led engineering projects in artificial intelligence, data compression and probabilistic programming. Christian believes that building intelligent technology is our best hope for making the world a better place.
VP of Research
Ali Ashtari
Ali has extensive academic (Ph.D) and industrial experience in signal processing, pattern recognition, statistics, numerical methods and optimization applied to various problems including biomedical applications, renewable energy and electricity markets. He is responsible for our applied research, and directly oversees the research team.
VP of People Operations
Oksana Hudson
Oksana attended the University of Manitoba and Red River College, where she studied Business Administration, and Anthropology as a post-graduate. She has been involved with Invenia on various projects since it began. She joined full time in the winter of 2016, and now heads up People Operations at Invenia.
Managing Director Invenia Labs / Co-Founder
Cozmin Ududec
Cozmin is a co-founder of Invenia, and is currently Managing Director of Invenia Labs in Cambridge. He received his PhD in the foundations of quantum theory from the University of Waterloo, and is still puzzling over the quantum world in his spare time.
Head of Operations
Dustin Hildebrandt
Dustin has been with Invenia since 2010. He received his Bachelor's Degree in Computer Science (Honours) with specializations in Databases and Theoretical Computer Science from the University of Manitoba. He architects and develops Invenia's development workflow, data gathering, and financial systems. Dustin is an avid cyclist, ballroom dancer, board gamer, and a clarinetist who regularly performs with the University of Manitoba Concert Band.
Head of Development
Curtis Vogt
Curtis works on managing, architecting, and developing the next generation of Invenia's EIS. He also is a contributor and advocate for the Julia programming language.
Head of Infrastructure
Mike Himbeault
Mike has a degree in discrete and combinatorial mathematics and a computer and electrical engineering masters degree focused on computer network security. His Master’s degree involved developing a novel approach to detecting covert DNS tunnels that represented an improvement over existing methods. At Invenia, he manages the maintenance and evolution of the computing infrastructure supporting Invenia's operations and research.
Developer
Adrienne Pind
Adrienne started at Invenia as a co-op student, then joined full time after graduting with her Bachelor of Computer Science (Honours) from the University of Manitoba. In her spare time she can be found cycling, playing frisbee, or canoeing.
Scientific Developer
Aron Hofer
Aron finished his Computer Science degree at the University of Manitoba specializing in Machine Learning. Aron has been with Invenia since 2009, where he is responsible for the efficient application of the organization's Machine Learning algorithms.
Developer
Brendan Curran-Johnson
Brendan is a developer and a documentarian at Invenia. Whether writing docs or infrastructure code, his goal is to make it easier for others to be able to do their work.
Chief Scientist / Co-founder
David Duvenaud
David is a co-founder of Invenia, and assistant professor in computer science and statistics at the University of Toronto. He received his Ph.D. in machine learning from Cambridge University. He has also worked at Google Research, the Max Planck Institute for Intelligent Systems, and the Harvard Intelligent Probabilistic Systems group.
Senior Developer
Eric Davies
Eric received their Bachelor's Degree in Computer Science (Honours) with specialization in Artificial Intelligence from the University of Manitoba. Eric architects and develops improvements to Invenia's data processing and machine learning pipeline while pushing for a faster, more capable EIS. Eric also contributes to the Julia community and helps lead the charge for new technologies at Invenia.
Senior Data Scientist
Evan Haldane
Evan received his M.Sc. in Mathematics from McGill University. At Invenia, he uses data science and machine learning to analyze energy markets and optimize EIS. In his spare time, he enjoys watching, playing, and compulsively analyzing sports.
Senior Researcher
Francesco Caravelli
Francesco's research focuses on statistical physics and complex systems, in particular complex networks, econophysics and agent-based modelling. He is a theoretical physicist, interested in quantum and classical systems and the application of techniques of statistical physics and complexity to other disciplines such as economics, engineering and finance. He is a Senior Researcher at Invenia Labs in Cambridge and a researcher at the London Institute for Mathematical Sciences.
Lead Developer
Gem Newman
Gem has been with Invenia since 2008. When not working on project management or system architecture, he can usually be found writing something in Python or Julia. Outside of Invenia, Gem serves as chair of the board of directors for national science advocacy group Bad Science Watch and is the executive producer of the science podcast Life, the Universe & Everything Else.
Senior Researcher
James Requeima
James completed his Masters degree in Mathematics at the University of McGill. At Invenia, he works on our machine learning and risk management programs. He is currently working on finishing his masters in Machine Learning, Speech and Language Technologies in the department of Engineering at the University of Cambridge.
Senior Researcher
Lorenzo Sindoni
Lorenzo obtained a PhD in Theoretical Physics from SISSA (Trieste, Italy) for the last 6 years has been a researcher at the Max Planck Institute for Gravitational Physics in Potsdam-Golm (Germany), working on statistical approaches to quantum gravity. His main interests are emergent phenomena in many body physics, gravitational physics and complex systems on random graphs.
Senior Data Scientist
Mike de Denus
While working on his Master's degree, Mike developed a robotics system for maintaining formation movement with varying numbers of robots without the use of a centralized controller. His teams have won awards at numerous international robotics competitions. At Invenia, he focuses on the analysis and exploration of nodal and spot electricity markets.
Scientific Developer
Nick Thiessen
After completing BSc in computer science, Nick came to Invenia to work on building and maintaining machine learning systems and simulations. During his spare time, he can be found either developing, playing, or discussing games of all sorts.
Senior Developer
Rory Finnegan
Rory Finnegan joined Invenia as a Computer Science Co-op and Linux enthusiast with a background in Bioinformatics and Human Computer Interactions. Rory is currently completing a graduate degree in Computational Neuroscience.
Developer
Sam Massinon
Sam is a recent graduate from the University of Manitoba with a Bachelor of Computer Science. He started at Invenia as a co-op during the summer of 2015 and started working full time beginning in December of that year. He has been involved in a number of projects ranging from development to researching.
Junior Developer
Cameron Ditchfield
Cameron is fourth year Computer Science student from the University of Manitoba who joined Invenia for his second work term. During his free time, he enjoys reading sagas and completing Economics minors.
Junior Developer
Nicole Epp
Nicole is a fourth year Computer Science student attending the University of Manitoba. She started her co-op term at Invenia this fall. Nicole also has a minor in Chemistry and enjoys playing board games and reading in her spare time.

Join Us

We are interested in meeting the best and brightest to help us solve our most challenging problems. If you are interested in joining our team or want to collaborate on a research project, send us an email at team@invenia.ca.
About Us

Invenia is a fast-growing technology startup headquartered in Winnipeg, Canada. We foster an innovative and collaborative culture, one that is the foundation of our success.

Our teams are composed of highly skilled individuals who love what they do, and are excited to use their talents to build a better tomorrow. We apply machine learning to solve some of the world’s most complex problems. We find meaning in what we do with our ability to reduce CO2 emissions and save lives by reducing pollution. It’s what drives us to work hard, and challenge our limits every day.

We are the first in the world to bring AI into the power grid, and have already made an enormous impact in North America. Invenia has been recognized nationally by the Canadian Youth Business Foundation as the Best Innovative Business, as well as the best overall business at the Foundation’s’ Chairman’s Awards.

Working at Invenia

Invenia’s team is the key to our success. We go to great lengths to take care of our people. We focus on providing a delightful workplace, enabling flexible schedules as well as locations, and fostering a social environment where everyone feels included.

Working at Invenia is an opportunity to collaborate with and learn from talented individuals at the top of their fields, to master new skills and grow professionally, intellectually and academically, all while helping to make the world a better place.

Current Opportunities

We are always looking for ambitious, hardworking, bright individuals in research, development, operations and infrastructure. We are also currently interested in individuals who have a background in grid scale power engineering, and physical electricity markets.

How to Apply

If you are interested in applying to work at Invenia, please send a resume, cover letter, and university transcript (for recent grads) to team@invenia.ca.

Open Source

Our projects using Julia, Python and MATLAB languages.
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FIlePaths
A type based approach to working with filesystem paths in julia.
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Holidays
Julia library for handling holidays.
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Arbiter
A concurrent task-runner that automatically resolves dependency issues.
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BayesianOptimization
A julia package for bayesian optimization of black box functions.
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Playground
A julialang environment builder (like python's virtualenv).
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ResultTypes
A Result type for Julia—it's like Nullables for Exceptions.
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DeferredFutures
Julia Futures which are initialized when written to.
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Mocking
Allows Julia function calls to be temporarily overloaded for purpose of testing.
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matpy
Call Python from MATLAB.
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FTPClient.jl
Julia FTP client using LibCURL.jl
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