Outgrid Cloud Security

Building the next phase of distributed sustainable compute

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Fully integrated with other cloud platforms:

Quick facts about the technology

What is a Hyperscaler?

Providers that operate massive centralized data centers for broad cloud services.

What is Neo‑cloud?

  • Next‑gen, modular, and proximate compute deployed closer to users and data sources
  • Shifts from few centralized regions to many localized nodes co‑optimizing power, cooling, and network paths

Why now?

  • AI spend is shifting from training to low‑latency, high‑throughput inferencing
  • Edge proximity reduces backhaul energy, improves QoS, and lowers total cost of inference

Training vs. Inferencing

  • Training: Model creation in specialized facilities
  • Inferencing: Real‑time predictions near the user, millions of times per second

Why distributed data centers?

  • Faster experience with lower energy per request
  • Resilience via multi‑site redundancy
  • Unlocks new value for local real estate owners

Why Outgrid?

Outgrid makes cloud security easy

Our cloud security software provides a holistic approach to safeguarding your business in the cloud.

Seamless Connectivity

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Data Encryption

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Setup Permissions

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Accessible Across All Devices

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Site-to-site Networking

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The Problem We Are Fixing

Today’s centralized footprint is misaligned with the next wave of AI inferencing and sustainability mandates.

  • Workloads are moving to real‑time inferencing at the edge
  • Traditional designs are not optimized for proximity, power density, or heat capture
  • Cities and enterprises need low‑carbon, grid‑cooperative compute that fits within existing urban fabric

Hyperscalers and their customers need complimentary low-latency compute on the edge with energy efficient infrastructure to handle growing inferencing compute needs in high energy cost locations.

Our Solution

Sustainable, distributed AI edge real estate with modular, high‑density infrastructure.

  • Embedded in commercial properties to reduce land and interconnect delays
  • Architected for low‑latency inferencing with grid‑aware power management
  • Resilient network topology with site‑level redundancy and localized failover
  • Off-grid optimization and connection to prioritize sustainable energy production and avoid tripping grid
  • Advanced compact cooling will reduce energy bills. Reduce heating energy consumption in cooler months.

Target unit economics: ~$25MM ARR per ~2,000 sq ft (≈1 MW)

Vertically integrated delivery with modular designs and secured supply paths to stand up capacity faster and more sustainably than market peers.

How It Works

The Market Opportunity

Demand for inferencing capacity is outpacing training growth and requires an order‑of‑magnitude more edge locations. Retrofitting legacy facilities is slow, cap‑intensive, and rarely optimized for sustainable power or heat reuse.

Inferencing compute is projected to exceed ~$1.1T by 2028.

Inference capex is projected to grow ~23x in 3 years versus ~4.5x for training.

Manage

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Connect

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Scale

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How We Generate Value & Revenue

  • 50–100x real estate value uplift within ~12 months by converting under‑utilized assets into high‑yield compute sites
  • ~$25MM ARR per ~2,000 sq ft via compute rental
  • Sustainability‑linked incentives from waste‑heat reuse, demand response, and renewable PPAs can enhance returns

Service Offerings

Our Offerings

We commercialize with two core offerings designed for investor‑friendly, scalable unit economics

Compute‑as‑a‑Service (CaaS)

We build and operate edge sites and rent compute capacity to customers at ~$25MM ARR per MW.

  • ~$45MM Build
  • ~9‑month development timeline
  • High margin profile through density, automation, and efficient cooling
  • Sustainability levers: on‑site heat reuse loops, grid services participation, renewable matching

Site Lease‑Out

Customers lease the site shell and bring their own compute at ~$2MM ARR per MW.

  • ~$5MM Build
  • ~6‑month development timeline
  • Lower ongoing OpEx
  • Ideal for tenants prioritizing control of hardware stack

Funding Timelines

  • Seed — $20MM to build POC sites and secure anchor customers
    • Target close: Dec 1
  • Series A — $500MM for multi‑city acquisition and builds
    • Target close: Oct 2026

18‑Month Commercialization Plan

  • Dec 1: Close Seed and commence POC builds
  • Oct 2026: Complete POC, close Series A, begin scaled multi‑city rollout
  • Dec. 2026: Sign initial inferencing contracts with sustainability SLAs
  • May 2027: Site‑level profitability on first commercial builds with target ARR of ~$25MM per ~2,000 sq ft

The Only Team Who Has Done It Before

Our team has delivered high‑density, production‑grade data center solutions with deep knowledge of power, cooling, and supply chains, plus partnerships eager to scale sustainable edge capacity.

ashish
Ashish Sharma Founder, former telecom Executive
adam
Adam Shaw Infrastructure GTM leader

Additional data center engineering advisors and senior leaders are lined up for management upon fund close. Details shared under NDA.

This team has confirmed supply chain relationships ready to lock in materials and real estate upon seed financing including partnerships with innovative transformer technology to reduce physical footprint and waste.