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Invenia Labs
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ML-powered software optimizing electricity grid planning
Invenia Labs
Work Here?
ML-powered software optimizing electricity grid planning
Overview
Invenia Labs uses machine learning to optimize planning and distribution of electricity for utilities and grid operators. Its software forecasts generation and demand, optimizes dispatch, and balances the grid in real time while integrating with existing grid-management systems. By considering limited grid capacity and the difficulty of storing electricity, it helps reduce waste and lower costs, with environmental benefits. The company differentiates itself through a multidisciplinary team and a focus on seamless integration, aiming to improve reliability and cost efficiency of the power grid.
About Invenia Labs
Industries
Data & Analytics
Energy
Enterprise Software
AI & Machine Learning
Company Size
1-10
Company Stage
Series A
Total Funding
$5M
Headquarters
Winnipeg, Canada
Founded
2006
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Simplify's Take
What believers are saying
- LinkedIn updated in 2026 still positions Invenia Labs in Winnipeg and Cambridge.
- Climatescape updated April 2026 highlights demand for reliability, efficiency, transparency, and pollution reduction.
- Electric utilities need real-time planning software as volatility increases across generation, transmission, and trading.
What critics are saying
- RocketReach showed 16 employees and $7 million revenue in 2024, limiting scale.
- Schneider Electric, Oracle, and Itron can bundle similar grid analytics into existing contracts.
- If utilities standardize on embedded AI inside DERMS and ETRM suites, Invenia loses relevance.
What makes Invenia Labs unique
- Invenia Labs optimizes utilities and electricity markets with one real-time decision engine.
- Its high-frequency data model links forecasting, pattern recognition, and optimization tightly.
- Winnipeg and Cambridge teams combine power-systems expertise with machine learning and operations research.
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Funding
Total Funding
$5M
Below
Industry Average
Funded Over
1 Rounds
Industry standards
Company News
where x is the vector of grid parameters and y is the vector of optimization variables, f ( x, y ) is the objective (or cost) function to minimize, subject to equality constraints c i E ( x, y ) ∈ C E and inequality constraints c j I ( x, y ) ∈ C I, where for convenience Invenia Technical Computing Corporation introduced C E and C I that denote the sets of equality and inequality constraints with corresponding cardinalities n = | C E | and m = | C I |.
Canada has made a marked improvement from last year's CB Insights' AI 100 list, with eight Canadian artificial intelligence startups placing on the list.
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About Invenia Labs
Industries
Data & Analytics
Energy
Enterprise Software
AI & Machine Learning
Company Size
1-10
Company Stage
Series A
Total Funding
$5M
Headquarters
Winnipeg, Canada
Founded
2006
There are no jobs for Invenia Labs right now.
Find jobs on Simplify and start your career today