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ENERGY CONTRACTS

RISK OPTIMIZATION

ENERGY SYSTEMS MODELLING

ENERGY MARKETS AND POLICY

It's time for better deals. Let's make more money and help the planet at the same time.

About

ABOUT

Relationships are Bigger Than Projects.

Our business is about relationships, between people, and between variables. We work hard to earn that relationship with you. At Jailbreak Labs we listen, communicate, and act. Together we will produce the high value outcomes you came for. Let's get to work!

Where We Work.

Following are sector applications where we are frequently active.

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Grid

Management

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Utility Resilience

Distributed System Operation

Financial Sector

Nuclear 

Energy

Agricultural

Sector

Fuels

Industry

Services

SERVICES

Digital Dynamic Agreements

Conventional contracts have static terms that don't change over the life of the contract. This can produce one-sided deals, particularly when external circumstances change, that can markedly effect outcomes. Digital Dynamic Agreements (DDAs) can fluidly update terms based on monitored external inputs to manage risk against a rapidly changing world.

Multi-Agent Power Purchase Agreements

Historically, Power Purchase Agreements (PPAs) featured a power producer and power purchaser only. This leaves the the power producer to bear all performance risk (and costs) by themselves. Our Multi Agent PPAs (MAPPAs) are structured differently, including additional major stakeholders like equipment and service providers in the PPA. This alignment of interests leads to more production and more money for all stakeholders.

Autonomous Agent Negotiated Agreements

In these agreements the parties are represented by software agents designed to negotiate in each party's best interest. Driven by Artificial Intelligence (AI), these agents never rest until the best deals have been reached. Human conditions of fatigue, frustration, and bias that can hamper conventional deal-making are minimized here. 

Investment Decision Support 

Major investments always carry some risk. We will work with you to model your investment options developing risk-quantified scenarios to help you may map your path forward with confidence. Our risk modelling architecture is robust, highly flexible, and transparent so you know exactly how you got your solution.

Virtual Power Purchase Agreements

Increasing in popularity, these agreements do not need a physical connection between the contracted parties to function. Virtual Power Purchase Agreements (VPPAs) offer exciting ways for generators to work with new and a more broad based of customers. It also offers energy customers more choices for service provision.

*NOTE* It's FREE to JOIN our VPPA Registry to find a suitable contracting partner that could increase your energy savings or revenue generation potential.

VPPA Registry
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TEAM LEADS

Let's build something together.

These 4 Team Leads represent 80 years of international experience in energy-coupled financial systems. Over 400 peer-reviewed technical publications, commercial and government reports detailing over 100 innovative and practical outcomes-driven projects. 

SOLUTION DEVELOPERS

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Alessandro Kerr

Allie is a Professional Engineer with a background in renewable energy technologies, energy systems analysis, data science, and project finance. He is currently a member of the IEAWind Task 43 for Wind Digitalization, and co-developed Quantract, an investment modelling tool. He has successfully led industry-backed projects related to renewable energy feasibility, power purchase agreements (PPAs), and investment decision support for JailbreakLabs. Alessandro contributed to the advancement of transportation electrification in Canada as part of the hybrid energy systems team at CanmetENERGY Ottawa. Currently, he works in system planning at Enbridge Gas, where he optimizes the system and forecasts future demands. He holds a Master of Science in Engineering from Stanford University, specializing in Urban Systems and Energy, and a Bachelor of Applied Science in Civil Engineering from the University of Windsor.

Contact
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Milad Rezamand

Dr. Rezamand is a Professor of Data Analytics specializing in data science, machine learning, and predictive analytics. He teaches across multiple institutions (Seneca College, Centennial College, University of Niagara Falls Canada)  and leads  research in autonomous negotiation systems, deep reinforcement learning, and ethical AI. His work integrates real-world analytics, experiential learning, and innovative AI frameworks to support fair, stable, and practical decision-making systems.

© 2026 JailbreakLabs Limited

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