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CLI
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CLI
@clidotcloud
AI-powered SaaS that guards Federal, State, and Defense systems from tomorrow's threats.
United States Katılım Ocak 2025
178 Takip Edilen3.8K Takipçiler

Japan recently committed $12B to build a sovereign AI factory in Kagoshima with 1 GW of power. Entirely domestically controlled.
Their stated reason: "AI computing power is a fundamental pillar of national security and economic competitiveness."
Nations are spending billions to own their compute.
And CLI is the only crypto native project with sovereign bare metal infrastructure and federal compliance.
theaiinsider.tech/2026/03/19/gmi…
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HPE made the distinction clearly:
A lot of so called "sovereign" cloud products were not built for sovereignty from the start. They are older systems with security and compliance layers added later.
Many are legacy systems stitched together from multiple vendors, or public cloud stacks reworked after the fact.
That is the difference.
Sovereign by design means security is built in from day 1. Sovereign by retrofit means controls are added later to satisfy a checklist.
One is architecture. The other is security theater.
At CLI, we built security into the system from day 1.
hpe.com/us/en/newsroom…
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62% of organizations say sovereignty and privacy risks are the biggest factor slowing their AI projects in public cloud.
Not cost.
Not performance.
Sovereignty.
And AI makes this worse, training and inference pipelines move sensitive data across jurisdictions organizations can't control.
The more AI you run, the more sovereignty matters.
globenewswire.com/news-release/2…
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In 2025 we are giving agents wallets.
In 2026 we are giving them autonomy.
But we are still deploying them on infrastructure where the hosting provider has more access to the agent's environment than the developer who built it.
Sovereign inference means little if someone else still controls the machine it runs on.
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Crypto’s original thesis was simple:
1. Remove intermediaries.
2. Own your assets.
3. Verify, do not trust.
Today’s reality is much different.
- Most dApps run on AWS.
- Validators rely on a handful of cloud providers.
- Many so called "decentralized" systems can be shut down by a single terms of service update.
We decentralized the ledger but we centralized the infrastructure beneath it.
Sovereign compute is the path forward.
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In crypto, everyone talks about technology moats.
Almost no one talks about compliance moats even though they're just as hard to build, take years to earn and can’t be replicated overnight.
- SOC 2 Type II.
- FedRAMP Moderate.
- NIST 800-207 Zero Trust.
- NSA/CISA hardening at the admission layer.
These are multi-year, multi audit validation processes.
As CLI operates under these certifications, the gap widens.
Changing the competitive landscape.
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Sovereignty Watch #2
- Sovereign cloud spending hits $80B in 2026, up 35.6%. ciodive.com/news/global-so…
- Microsoft expands country specific, compliance driven sovereign cloud services for clients with strict data residency and security requirements.
finance.yahoo.com/news/microsoft…
- Gartner estimates 20% of workloads shifting from global hyperscalers to local providers as governments demand stronger regional control and data security. gartner.com/en/newsroom/pr…
- Forrester predicts multiple major cloud outages in 2026, suggesting that large scale outages may become the new normal.
techtarget.com/searchcloudcom…
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CLI exists because we could not find what we needed.
We needed sovereign compute. Real bare metal. Zero trust. No surveillance.
We looked everywhere:
- AWS GovCloud: shared infrastructure dressed up as compliance.
- Defense contractors: process heavy, architecture weak.
- Self-hosted Kubernetes: requires a team most companies cannot afford.
Every option forced a tradeoff. Security or simplicity. Scale or control.
No one delivered enterprise security and operational clarity in one system.
So we built it.
SOC 2 Type II validated. FedRAMP Moderate. Zero Trust by design.
And the platform is live today.
cli.cloud
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CLI retweetledi

This is part of the reason we created @clidotcloud. US government employees should be using hardened, bespoke local AI models and infra.
Disclose.tv@disclosetv
NEW - Head of the U.S. cyber defense agency CISA, Madhu Gottumukkala, uploaded sensitive contracting documents into a public version of ChatGPT, triggering a DHS security review — Politico
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The US is spending more on AI infrastructure in 2026 than the Apollo program, interstate highways, and broadband buildout combined.
Neoclouds (Specialized cloud providers built specifically for AI workloads) went from $0 to $23B in two years.
Private cloud grew to $242B.
CLI stands out as a crypto native infrastructure company strategically positioned to capture this upside onchain.
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Sovereignty Watch #1
- Azure was down twice this week. Config change lead to 10+ hours of cascading failures across regions.
- NSA released Phase One and Phase Two of the Zero Trust Implementation Guidelines:
Zero Trust means continuous verification of every user, device, and application. "Never trust, always verify." The DoD deadline is: FY2027.
nsa.gov/Press-Room/Pre…
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