Invest in the Infrastructure ofAI's Next Growth Wave
We are developing AI compute infrastructure through modular SkyMod AI Factories to form a new kind of neocloud.
Targeting industry-identified capacity constraints, some analysts project could reach $7.1T by 2030.
Become a shareholder as we build the backbone of AI.
















































AI Demands 3X More Data Center Capacity
**Jensen Huang, CEO of NVIDIA1
McKinsey & Company 2
Menlo VC 6
$7.1T
AI investment projected by 20302
417M+
companies already use AI 3
$1T+
VC and Institutional commitments to AI data center infrastructure6
1M times
AI demand increase in the last two years**

Meet SkyMods
Rapidly Deployed AI Factories
SkyMod is our planned modular, prefabricated data-center factory designed for high-density AI compute.
✓ Built for scalability and controlled-facility assembly.
✓ Intended to support deployment timelines that can be shorter than traditional multi-year construction.

Install-ready AI Factories
Deploy in months, not years
Capture AI’s Demand Now
Revenue acceleration to benefit investors
A Neocloud Built for AI
Differentiated solutions from traditional clouds
Who Can Use SkyMods ?
Our planned Neocloud network of SkyMods is being designed to support a range of AI workloads, from training to inference

Startups and research labs
training large models or developing new AI applications.

Enterprises
in manufacturing, healthcare, fintech, and more

Government and academic institutions
conducting AI research or simulations.

Infrastructure and energy partners
deploying edge-based compute for regional growth.
Get the BluSky AI Investor Deck
The Neocloud: A New Model for AI Infrastructure
- BluSky AI is developing a Neocloud—a planned next-generation, AI-focused cloud architecture.
- Our strategy includes a distributed network approach for future AI Factory deployments.
- SkyMods are engineered to provide scalable, high-density compute that can support a broad range of AI workloads

High Performance AI Compute:
Just like a wireless plan, a GPU-as-a-Service with flexible, usage-based pricing
AI-Optimized Design:
Every SkyMod is engineered for power efficiency, cooling, and network speed.
Transparent Pricing:
Simple, per-GPU rates that include compute, networking, and storage.
Scalable Deployment:
Modular units expand quickly to meet rising AI demand.
Long-Term Agreements:
Companies are taking 5 or 7-year terms locking in long-term revenues.
We’ve Surpassed Our Phase Three Goal
20+ SkyMod Locations Already Planned
We are developing a modular SkyMod architecture intended to support a future, distributed “Neocloud” network of AI infrastructure across the U.S.
Investor capital is targeted to support our ability to pursue site development, expand planned capacity, and address growing demand for high-density compute.
1000:1 Stock Split
BSAI Registered on OTC
DSI Partnership
SkyMod Announced
OTCID Listing
Lilac Partnership
YOTTA Panel Host
Utah Business Award
1st Leased Site Contract
AI Platform Alliance
5 Sites Announced
New Sites Under LOI
Phase 3 Goal Reached
Xcelerated Compute Panel
Reg A+ offering
Portfolio Update
System Integrator (tba)
Plans Additional Board Members (tba)
New Client Agreements (tba)
SkyMod Site 1 Groundbreaking
Targeted first leased site live
YOTTA Panel Host
Announce 2027 Site Map
Targeted 2nd leased site to go live


Central, UT
North Central, KS
Southeast KS, #2
East, UT
Northeast Central #1, OK
Southeast KS, #1
Southwest, UT
Northeast Central #2, OK
Central, KS
Southern #1, CO
Northeast Central #3, OK
North Central, MO
Southern #2, CO
Southern Tip, TX
N.E., TN
A New Approachto AI Infrastructure
Modular. Scalable. Distributed.
New data centers have hurdles to completion
Industry-identified
capacity constraints
Lead times take 3-to-7 years to open
Large energy needs are difficult to source
Many communities are
against large data centers
Introducing a new model for how AI
infrastructure can scale


AI Infrastructure Without Compromising the Planet
That Sustains It

Sustainability Commitment

Small Land Footprints

Sustainable Cooling
Regulation A Offering
In the past, first opportunity for next-stage
investment was usually an exclusive club.
We’ve made it available to everyone.


Exclusive Investor Perks
Proven Founders Building the Future of AI
BluSky AI’s founders have built high-growth companies across tech and infrastructure. Now they’re doing it again for the AI era.

Trent brings a unique blend of Fortune 500 discipline and startup execution, backed by deep leadership and international experience across Data Centers, Telecom, IVR, Mining, and Energy. He has led multiple companies through successful exits and built high‑performance teams in complex, fast‑scaling environments. Trent previously founded RackScale Data Centers, where he sourced land, conducted energy and feasibility studies, and oversaw full‑cycle data center development. Earlier in his career, he served as an executive at Montana Power, leading the company’s digital transformation initiatives and modernizing critical infrastructure.

A leader holding executive positions in Fortune 500 companies and start-ups in Telecom, Data Centers, Energy, Finance, and Blockchain. He led a team that acquired a $69B telco. Involved in 3 acquisitions, 7 mergers and led 3 start-ups.
At RackScale resourced data center development. At MCI launched new service and sales centers, directed Ntl. acct. sales. At Qwest built new division. Led a divestiture integrating business unit into Montana Power serving as the CMO. As a Muzit board member brought AI to scale company. Selected to the BluSky AI board.

Cybersecurity and IT infrastructure expert. Built automation and anti-fraud tools at two mid-sized companies. Has worked with governments and global security teams to deliver secure, AI-ready systems. Developed an AI solution for an Adtech company taking their data from 6B to 17B IP addresses.
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Strategic finance and FP&A leader. Guided a $4B IPO at Core Scientific, scaling revenue 24× and infrastructure from 30 MW to 800+ MW in Bitcoin and AI Compute. Led cross-functional finance, operations, SEC reporting, M&A, and investor relations during one of the largest U.S. digital-asset scale-outs







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