The sovereign AI operating platform that turns compute into business capability, deployed wherever you control it.
Shelves of discs became streaming
Hard drives became cloud storage
The workstation became cloud compute
Employee tasks become loops running on servers
2026 capex guidance from Amazon, Microsoft, Alphabet and Meta
vs. 2025's record ~$410B. Analysts project $1T+ by 2027.
2026 capex guidance by company ($B)
US AI infrastructure market ($B, 21.7% CAGR)
of 2025 AI infrastructure spend was on-premise, driven by data-residency and HIPAA-type mandates
US AI infrastructure by 2035, from $38B in 2025
of all global venture capital in 2025 went to AI ($202B)
of enterprise GenAI pilots deliver zero measurable return, despite $30–40B invested
MIT NANDA, 2025of leaders say cybersecurity is the #1 barrier to their AI strategy, up from 68%
KPMG AI Pulse, Q4 2025success rate for vendor-packaged AI tools versus internal builds
MIT NANDA, 2025Every AiCortex blueprint is a fully packaged, secure system: the models, the software, the infrastructure and the guardrails. It performs one job for the business.
16 blueprints across 8 layers, one governed platform, standard interfaces (OpenAI-compatible APIs, MCP, OIDC, OpenTelemetry) so nothing locks you in.
Local + cloud model routing
Private RAG, memory, graph
MCP tools and agents
Identity, budgets, approvals
Zero-trust edge, runtime
Metrics, logs, traces
Web, API, voice, mobile
Ansible + containers
A retailer wants to cut shrink: flag suspicious behavior and stock gaps from existing cameras
Vision models + private RAG + alerting agent + zero-trust edge, pre-integrated
Deployed on the store's own server or cloud account. Video never leaves their control
Runs 24/7, alerts staff, reports weekly. The capability a 10-person team couldn't build
Same pattern, any capability: security-alert triage for an MSP · invoice and contract processing for a law firm · a private research assistant over a company's own documents · a voice agent for intake calls
A 10-person company
with the operating capacity of 40
Add capacity without adding headcount, so the business can grow, and then hire.
One-time: the capability, installed and validated on the customer's compute
Recurring: monitoring, security, model updates and routing. This is the utility meter.
Each new capability is another blueprint on the same platform
sovereign AI market, 2025 → 2032 (20.6% CAGR)
US federal AI contract pipeline, 2024 → 2026; DoD requested $13.4B for AI in FY26
of executives aren't confident they could pass an AI governance audit within 90 days
Air-gapped and private deployment is a hard rule in defense (IL5/IL6), healthcare (HIPAA) and finance (SR 11-7). FedRAMP launched a fast-track for AI authorizations in 2025.
AiCortex is built for it: on-prem, hybrid and private-cloud blueprints with FedRAMP-aligned infrastructure-as-code, and security as a platform layer, not a bolt-on.
Palo Alto Networks just bought an AI gateway to anchor its AI security platform. Seed and Series A rounds in secure, self-hosted AI are running $12–50M, and infrastructure names like Baseten went from $825M to $13B in 18 months.
$725B is being spent on compute. Compute doesn't generate revenue until it's wired into a business. AiCortex is the layer that does the wiring: packaged, secure, and owned by the customer.