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CLR Technologies, Inc.

Software and Automation for Infrastructure

We are a manufacturing and energy infrastructure company developing technology to close the United States' manufacturing gap in local communities. The code we build on GitHub is what makes that technology deployable: the automation layers, process control systems, data pipelines, and analytical tools that connect laboratory-proven technologies to real-world manufacturing operations with positive community impact.

Founded in 2024 and based in New Haven, CT as a member of ClimateHaven, we operate by the CLR Ethic: Clarity. Integrity. Purpose.

What we build here

Our GitHub work sits at the intersection of manufacturing engineering and policy infrastructure. We develop and maintain:

  • Process control and automation software that supports electrocatalytic refining operations, from sensor integration to workflow orchestration
  • Data pipelines and analytics tools that translate manufacturing outputs into evidence-based insights for operators, researchers, and regulators
  • Policy modeling frameworks that quantify the impact of energy and manufacturing programs
  • Infrastructure planning tools for low community impact technology design and deployment

Why your sponsorship matters

Deploying a new refining technology at commercial scale requires more than chemistry. It requires software that works reliably under industrial conditions, models that policymakers can trust, and open tools that the broader clean energy community can build on. Sponsoring CLR Technologies on GitHub directly funds that development layer. Every contribution helps us build in public, maintain rigorous standards, and move domestic clean refining infrastructure from research to reality.

Innovating for society. Engineering for humanity.

Featured work

  1. CLR-Technologies-Inc/snowbird-energy-systems

    Snowbird Systems — NYC demand-response savings platform powered by NYISO Zone J day-ahead pricing, with borough-level Dynamic Reserves opportunity mapping and EIA energy data visualisations.

    TypeScript

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