Side-by-side comparison of AI visibility scores, market position, and capabilities
AI-powered energy management platform for grid-scale optimization. Raised $94.5M total including Samsung Ventures backing; headquartered in Dublin.
GridBeyond is an AI-powered energy management company headquartered in Dublin, Ireland, focused on grid-scale optimization for utilities and large industrial energy consumers. Founded to address the growing complexity of energy markets as renewable generation and demand volatility increase, GridBeyond's platform uses machine learning to optimize energy procurement, consumption, and grid participation in real time.\n\nThe company's core product is an intelligent energy management platform that enables customers to participate in frequency response, demand flexibility, and wholesale energy markets — automatically dispatching assets to maximize revenue or minimize cost. Target customers include industrial manufacturers, data centers, utilities, and grid operators across Europe and North America. GridBeyond differentiates through its combination of AI forecasting, automated market participation, and hardware-agnostic integration with existing energy assets.\n\nGridBeyond has raised $94.5 million in total funding, with notable backing from Samsung Ventures, reflecting strategic interest from a major consumer electronics and energy storage manufacturer. The company is positioned at the intersection of two megatrends — AI adoption and the global energy transition — as industrial customers face rising energy costs and regulators push for more flexible demand-side participation. GridBeyond's 2025–2026 focus has been on expanding its footprint in ancillary services markets across North America and Europe.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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