Alosanar provides the next generation of regional and edge data center design, development and operations.

Alosanar provides the next generation of regional and edge data center design, development and operations.

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About Us

Intelligence that Scales

Alosanar was founded in 2024 by Emmanuel Daniel, former Microsoft global facilities and data center executive. Emmanuel spearheaded the smart buildings program for Microsoft globally including extensive physical, cultural and programmatic redevelopment of the East Campus in Redmond, WA. He notably led expansion of the data center capacity from 200 to 500 facilities while investing up to $2B per month and expanding the global team.

While developing and operating more than 300 data centers, and working with a wide variety of service providers, he observed a resistance to innovation with the traditional but necessary vendor community including a profound lack of smart building technology awareness and skillsets. Additionally, there was an inefficiency and dependency on man-power which was not scalable. With the onset of the AI era this innovation gap is now increasing rapidly and becoming an operational and competitive risk to data center owners, operators and occupants.

The company has assembled the most experienced executives and solution partners in data center, artificial intelligence, facility, technology, scaling, and operations.

Alosanar is operating in a variety of capacities, including consulting, design, construction management, BESS solutions, financing and joint venture partnerships.

In addition to design and build capabilities Alosanar is developing a proprietary large language model (LLM) specifically for data center facility management. The model will be complemented by task-oriented agents that are orchestrated specifically for data centers.

Services

Powerful Solutions

Everything you need to build, deploy, and scale AI-powered applications.

Building scalable, secure, and future-ready data infrastructure solutions.

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Enabling smart funding strategies for efficient and sustainable project growth.

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Designing reliable, high-performance systems with innovation and accuracy.

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Delivering projects on time with precision, control, and expert coordination.

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Powering resilience through advanced battery energy storage solutions.

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Ensuring seamless performance with proactive monitoring and expert management.

Process

How It Works

Portfolio

Our Work

Transformative AI projects that drive real business outcomes.

Neural Commerce

E-Commerce AI

DataFlow Engine

Data Pipeline

Predictive Health

Healthcare ML

FinTech Guard

Fraud Detection

AutoVision

Computer Vision

ChatGenesis

NLP Platform

Operations

Today’s data centers should be designed and built with future operational performance in mind, and much more dynamic capabilities, economics and vision. This means more progressive thinking around cooling, varying electrical loads, fire life safety, energy, efficiency, and sustainability as well as changing staffing paradigms. Even the location of edge data centers is a creative exercise when repurposing former real estate use-types.

Artificial intelligence is not only the reason for data center growth, but also the way that data center should be designed built and operated. Agentic AI and AI-ready systems ontology are table stakes for data center facility management in order to handle the array of risk, performance, environmental and energy challenges on both the supply and demand sides.

Our regional and edge data center solutions are built and operated for speed, resilience, and scale. Whether deploying immersion-cooled AI clusters or modular, or BESS, grid-interactive sites, we deliver facilities that perform at the edge with hyperscale precision and consistency. From site selection and engineering to integrated systems testing (IST) and agentic fault detection, Alosanar provides the strategy, systems, and execution to operate smarter.

Marketplace

While hyperscale data centers dominate headlines, there is also substantial demand for edge and regional data center capacity to support AI inference, data privacy requirements, and low-latency performance for real-time applications such as autonomous systems, robotics, financial services, video analytics, healthcare, government workloads, and 5G/6G networks.

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