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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
Simplify's Take
What believers are saying
- Grid operators adopt predictive maintenance, leveraging Invenia's IoT-ML integration.
- Utilities modernize systems, favoring Invenia's seamless legacy analytics compatibility.
- Renewable integration demands real-time AI, matching Invenia's decision recommendations.
What critics are saying
- Google DeepMind's AI predicts renewables 20% better, eroding Invenia's models in 6-12 months.
- AutoGrid captures 25% market via DERMS, outpacing Invenia in 12-18 months.
- California ISO mandates APIs by 2027, excluding Invenia's platform with $5M retrofit.
What makes Invenia Labs unique
- Invenia links forecasting, pattern recognition, and optimization for real-time grid decisions.
- Cloud platform integrates with legacy systems for utility operational simplification.
- Multidisciplinary team applies AI, quantum theory to electricity market challenges.
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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