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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
- JuliaHub's 2024 case study shows active grid optimization work and scaling ambitions.
- LinkedIn still lists Winnipeg and Cambridge operations, signaling a continuing technical footprint.
- Utility and grid-operator demand for real-time optimization remains strong for 2026 deployments.
What critics are saying
- A 2022 board investigation terminated co-founder Matthew Hudson after revenue inflation allegations.
- UK filings show Invenia Labs Limited was dissolved via compulsory strike-off on May 20, 2025.
- Ongoing Hudson litigation and leadership churn threaten customer trust and sales cycles through 2026.
What makes Invenia Labs unique
- Invenia models grid physics, economics, and uncertainty, not generic forecasting software.
- JuliaHub highlighted Invenia's open-source Julia ecosystem and deep technical credibility in 2024.
- Its Energy Intelligence System targets day-ahead planning where better decisions directly save money.
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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