Sesame provides an industrial decarbonization platform that combines emissions modeling, techno-economic analysis, and system optimization for energy transition planning. The software enables teams to model, derisk, and verify complex energy investment scenarios using configurable, first-principles models. This platform facilitates rapid multi-scenario analysis for achieving cost and emissions targets across various industrial sectors and supply chains.
Funding
$2.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Industrial companies face increasing pressure to reduce carbon emissions, but evaluating and optimizing low-carbon technology investments across complex projects is challenging. Existing methods often lack the integration needed to assess both cost and emissions implications of various decarbonization strategies. This makes it difficult for teams to make informed decisions and confidently invest in the right solutions.
Solution
Sesame is an industrial decarbonization platform that integrates emissions modeling, techno-economic analysis, and system optimization to streamline the evaluation of low-carbon technology investments. The platform enables users to model and simulate complex projects, assess the cost and emissions implications of different technology options, and verify decarbonization investments. By combining plant-level information with rich databases and flexible first-principles models, Sesame captures key technical, economic, and regulatory considerations. The platform facilitates multi-scenario analysis, cross-team collaboration, and serves as a single source of truth for enterprises seeking to achieve cost and emissions targets across commodities, sites, and global portfolios.
Target Audience
Sesame targets industrial companies in sectors such as hydrogen, renewable energy, transportation, oil & gas, and iron & steel, as well as enterprises seeking to achieve decarbonization targets.
Features
- Configurable, first-principles cost and emissions models for commercial and emerging technology assets (e.g., electrolyzers, vehicle fleets)
- Power system model to assess the deployment and operation of renewable energy systems at an hourly resolution
- Demand-side models to evaluate the impact of different fuel, powertrain, and adoption scenarios across transportation modes
- Integrated analysis of energy and fuel supply chains to chart strategies for complying with clean steel standards and achieving downstream supply chain targets
- Capabilities to evaluate the integration of renewables and energy storage technologies within existing facilities
- Tools to demystify the effects of technology investments and regulations, such as the Inflation Reduction Act, across projects and global supply chains
- Optimization packages to capture the intricacies of renewable energy intermittency and aid in sizing production assets