Building the AI
Infrastructure
America Needs.
Five structural gaps in the global AI stack. Identified, scoped, and being built — by an engineering team that came from the field, not the lab.
The AI industry is building
towers on sand.
Brilliant models bolted onto broken infrastructure. No privacy architecture. No local sovereignty. No composable operations layer. No safety net when systems fail. We identified five structural gaps — and we have the domain expertise to close every one.
Your data isn’t private.
Every enterprise AI deployment is a quiet data extraction operation. Prompts, documents, internal knowledge — sent to foreign servers, logged, trained on, stored indefinitely. We build the alternative.
AI can’t actually finish work.
Demos are impressive. Production results are not. Context lost. Tasks half-done. Workflows that crash and restart from scratch. We build operators that finish what they start — with human approval for what matters.
120M workers were forgotten.
Warehouses, factories, field service — 120 million deskless workers in the US whose jobs the AI revolution completely skipped. AI tools require a screen. These workers don’t use screens.
90% of compute spend is waste.
Oversized models on overprovisioned hardware because nobody bothered to optimize. The result: ballooning costs and AI inaccessible to 99% of businesses. We build the runtime efficiency layer.
The private cloud for businesses that can’t use public AI. On-premise compute, flat monthly cost, data that never leaves the building — plus a team of AI operators (lead capture, proposal drafting, market research, call debriefs) that runs 24/7 on the customer’s own hardware. No per-seat fees. No cloud dependency. No per-prompt billing.
Compare: n8n hit $40M ARR and a $2.5B valuation doing workflow automation for teams comfortable with cloud. Cascadia OS targets the 33 million businesses that structurally cannot use cloud AI — a larger, underserved, and higher-margin market. MIT open source on GitHub. Operator marketplace roadmap mirrors n8n’s DEPOT model.
When Cascadia OS customers have idle overnight hardware, Zyrcon Grid turns it into a revenue asset. Verified businesses share compute at $0.60–$0.80/hour — significantly below AWS pricing — in a private, trust-gated network. Batch AI tasks, background inference, and overnight operator runs flow through the exchange. No tokens. No anonymous participants. Dollar-denominated B2B transactions.
This is structurally closer to cargo backhaul markets than DePIN. Every participant is a known Cascadia OS customer. The network effect grows with the customer base. Node operators earn $200–500/month per idle machine, effectively paying for their Cascadia OS license from overnight earnings.
Healthcare. Legal. Defense. Financial services. Regulated industries can’t use public AI — not because they don’t want to, but because HIPAA, attorney-client privilege, CUI handling, and GDPR make it legally impossible. Sovereign AI Gateway is a local-first AI infrastructure layer: on-premises LLM inference, end-to-end encryption, full audit trail, zero egress to third-party providers.
Drop-in replacement for OpenAI and Azure AI endpoints. SOC 2 / HIPAA / FedRAMP compliance-ready architecture. Switching cost is massive once embedded into enterprise workflow.
Warehouses, factories, field service, logistics — 120 million deskless workers in the US alone whose jobs the AI revolution completely skipped. Every AI tool built today requires someone sitting at a computer. Most of the world’s workers do not sit at computers.
We’re building a voice-native AI agent designed for the field: industrial-grade noise cancellation, domain-specific NLP trained on operational vocabulary, and real-time integration with ERP, WMS, and CMMS platforms. Workers talk to it like a colleague. It routes, logs, escalates, and reports — entirely hands-free.
Industry-specific AI operators — a legal SCOUT, a healthcare SCOUT, a real estate SCOUT, a logistics SCOUT — sold as recurring SKUs through a marketplace where third-party developers build the inventory and Zyrcon takes the cut. By the time DEPOT launches, the Cascadia OS install base is already locked in through workflow dependency and institutional memory. Every developer who ships a DEPOT operator expands Zyrcon’s product surface without adding to Zyrcon’s headcount.
This is App Store economics applied to a captive hardware install base. Compare: n8n’s marketplace model contributed to its $2.5B Series C valuation. DEPOT is the same architecture, built on a privacy-first, locally-deployed install base with zero churn incentive.
The companies that prove
this market is real.
Every comparable in this category has been funded, acquired, or scaled past unicorn status in the last 24 months. Zyrcon is building the privacy-first, US-sovereign, SMB-native version of this stack — the category that the Berlin, SF, and London teams structurally cannot serve.
Three phases.
One compounding machine.
Same playbook n8n used: open source community → enterprise licensing → marketplace take rate. Executed with the privacy-first, locally-deployed architecture the European players structurally can’t replicate.
Foundation — Open Source + First Revenue
Cascadia OS public launch on GitHub. First 10–20 Houston-area engineering, legal, and MEP firms as paid customers at founding pricing. MIT open source drives community — enterprise licensing drives revenue. Same trajectory: n8n launched open source with $1.5M seed in 2020. By 2025, $40M ARR and $2.5B valuation.
Open nowExpansion — Grid + Multi-Site + Verticals
Zyrcon Grid compute exchange activates for the customer base. Multi-office deployments unlock. Vertical-specific operator packs for healthcare, legal, and defense ship. Community begins building DEPOT operators. Comparable: LangChain’s pivot from open source framework to enterprise platform drove $200M → $1.1B valuation in 17 months.
Phase twoNetwork — DEPOT Marketplace + Infrastructure Multiple
DEPOT operator marketplace activates. Third-party developers building operators on Zyrcon’s install base. Revenue layer three: marketplace take rate. At this point the valuation conversation changes — from SaaS multiple to infrastructure multiple. n8n’s $2.5B valuation at $40M ARR = 58× revenue multiple. Infrastructure companies trade even higher.
Series A target“The AI industry built the model. We’re building the plumbing — the part that makes the model useful for the 33 million businesses that hyperscalers structurally cannot serve.”
This is where
you come in.
n8n started with a $1.5M seed in 2020. Today: $2.5B valuation, $40M ARR, Accel-led Series C.
LangChain raised $10M seed in April 2023. By July 2025: $1.1B valuation, IVP-led Series B.
OpenClaw was one developer, one weekend. Now it’s inside OpenAI.
The pattern is clear. Open source AI infrastructure built by credible engineers,
focused on a real business problem, with a community flywheel — reaches unicorn scale faster than
any category in software history.
We’re raising $300K pre-seed to close our first lighthouse enterprise clients,
establish the open source community flywheel, and validate the Zyrcon Grid exchange model.
We don’t need much. We just need the right partner
who sees what category creation looks like before everyone else does.
Two doors.
Both lead somewhere good.
Whether you’re a business that needs private AI infrastructure, or an investor who sees what’s coming — there’s a next step waiting for you.
Deploy Your First
AI Operator
Get a demo and see Cascadia OS running on your actual workflow — lead intake, proposal drafting, or overnight research. First deployment in under 5 minutes. Founding pricing, locked permanently.
Request Early Access →Get the Full
Picture
We’ll send the full investor deck: architecture walkthrough, the three-layer revenue model, market comparables, and the pre-seed terms. $300K round. Pre-seed conversations happening now.
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