Artificial intelligence and cloud computing are driving rapid expansion of data center infrastructure. However, simply building more supply cannot address rising energy demand. The opportunity now lies in making energy demand smarter, not just increasing capacity.
A new generation of startups are developing sustainable data centers to address this challenge by redesigning how data centers consume and manage energy. Their technologies convert wasted energy into computing power, reduce energy intensity, and align demand with grid conditions.
Together, these innovations enable operators to deliver more efficient, sustainable, and scalable infrastructure for AI and cloud customers. This article is part of our Data Center Series. It builds on earlier coverage on operational challenges, innovation pathways, and funding trends shaping data center innovations.
Unblock (Argentina)
Unblock delivers modular data centers that convert wasted energy into high-value computing power in remote and challenging environments. The company deploys mobile units directly at oil and gas sites to capture flared gas and convert it into power to run modular data centers. This approach eliminates transport requirements, reduces emissions, and creates new revenue streams for operators.
At the Los Toldos II project in Argentina, Unblock installed a data center at the wellhead for Tecpetrol. The facility converts flare gas into high-performance computing, eliminating 142,000 tons of CO₂ annually, and monetizes stranded energy. The company also installs behind-the-meter units for renewable producers, converting curtailed power into productive compute loads.
Unblock aligns computing demand with variable energy supply through AI-driven forecasting, smart load scheduling, and real-time optimisation. These rapidly deployable, zero-capex systems position the company at the intersection of AI’s rising energy demand and Latin America’s constrained energy infrastructure. Its $13.5 million seed round in July 2025 supports expansion to eliminate flaring and unlock stranded energy.
d-Matrix (USA)
d-Matrix develops high-efficiency computing platforms for generative AI inference in data centers. Its Corsair™ platform integrates compute, memory, networking, and software into a unified inference-optimized architecture. This full-stack design delivers up to 10× faster performance, 3× lower cost, and 3–5× higher energy efficiency than conventional GPU-based systems.
By tightly integrating compute and memory, d-Matrix reduces data movement, which is a major source of energy consumption in AI workloads. Its JetStream networking and Aviator software further optimize large-scale inference by enabling low-latency communication and efficient resource utilization.
This architecture significantly lowers the energy required to deploy and scale generative AI. A single data center equipped with d-Matrix’s platform can handle workloads previously requiring multiple facilities. This reduces infrastructure expansion, electricity consumption, and associated carbon emissions.
d-Matrix raised $275 million in Series C funding in November 2025 to accelerate global deployments and expand its inference platform. The company targets hyperscale cloud and enterprise data center operators seeking cost-efficient and energy-efficient AI deployment.
DayOne (Singapore)
DayOne develops and operates next-generation data center infrastructure for hyperscalers and large enterprises. Its facilities support high-performance cloud, AI, and latency-sensitive edge workloads. The company designs its infrastructure for rapid deployment, high density, and operational reliability.
DayOne improves energy efficiency through advanced liquid cooling and oil-free magnetic levitation chillers. These systems reduce Power Usage Effectiveness and lower overall energy consumption. Smart energy management platforms optimize performance through real-time monitoring and system control.
The company also pilots solid oxide fuel cell technology to enable low-emission, on-site power generation. This approach improves reliability while reducing dependence on carbon-intensive grid electricity. Its facilities integrate rainwater harvesting and sustainable construction materials to reduce environmental impact.
DayOne accelerates deployment using prefabricated modular construction and digital optimization tools. This model enables faster scaling while maintaining operational efficiency and sustainability standards. The company secured over $2 billion in Series C funding in January 2026 to expand its global data center footprint and support growing AI infrastructure demand.
Vantage Data Centers (USA)
Vantage Data Centers develops and operates hyperscale data center campuses that support cloud computing, artificial intelligence, and enterprise workloads. Its standardized campus model enables rapid construction, modular expansion, and high-density deployments. The company integrates advanced cooling, continuous monitoring, and carrier-neutral connectivity to ensure reliable and efficient operations.
Vantage prioritises sustainability through renewable energy procurement, low-carbon infrastructure design, and waste-heat recovery where feasible. These measures reduce operational emissions and improve energy efficiency at scale. Its long-term infrastructure financing model supports capital-intensive, resilient digital infrastructure.
In November 2025, Vantage secured a $1.6 billion equity investment. This funding strengthens its capacity to expand hyperscale infrastructure and support the growing energy demands of AI and cloud computing sustainably.
Emerald AI (USA)
Emerald AI develops software that enables data centers to adjust power consumption in response to electricity grid conditions. Its platform coordinates AI workloads across multiple facilities. This allows operators to reduce or shift power use during periods of grid stress without disrupting critical compute operations.
The Emerald AI Conductor platform dynamically redistributes or pauses workloads based on real-time grid signals and electricity availability. This approach transforms data centers into flexible energy assets that support grid stability and demand response programs. It also improves utilization of existing infrastructure while maintaining strict performance requirements for AI services.
In July 2025, Emerald AI raised $24.5 million in seed funding. In October 2025, the company secured an additional $18 million, bringing total funding to $42.5 million. This investment supports deployment as data centers face rising energy demand and increasing grid constraints.
Enabling sustainable and scalable data center growth
The startups featured in this article demonstrate how innovation can improve both data center efficiency and energy use.
As AI and cloud adoption accelerate, operators must prioritize efficiency alongside growth. Smarter computing platforms, flexible demand management, and energy-optimized infrastructure will define competitive advantage. Continued investment and deployment will determine how quickly these solutions scale. Together, these innovations position data centers to support long-term digital growth while reducing environmental impact.
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