Local. LAN. Cloud. Your AI. Your rules.
The first enterprise AI inference platform with zero-egress architecture. Run frontier models entirely on-device, across your LAN, or via intelligent cloud routing — all with hardware-enforced privacy and patented multi-panel comparison technology.
Choose the deployment model that matches your privacy, performance, and connectivity requirements. Switch seamlessly between modes at any time.
Single-machine. Zero network. Full power.
CortiX runs frontier AI models entirely on your local hardware using GGUF quantization. No internet connection. No data leaves your device. Ever. Hardware firewall rules enforce zero egress at the network layer — not just the application layer.
Distributed LAN inference. No internet required.
NeuriX distributes AI inference across up to three workstations on your local area network using mDNS auto-provisioning and NVLink/InfiniBand fabric. Run models larger than any single machine's VRAM — without a single byte leaving your building.
Intelligent cloud routing with mandatory privacy disclosure.
MatriX routes queries to approved external AI providers using patented intelligent routing — optimizing for cost, quality, and availability. Every query is preceded by a mandatory privacy disclosure. Hardware firewall rules enforce provider restrictions at the network layer.
Three simultaneous AI panels. One master query bar. Unlimited models. Full panel control — maximize, minimize, compare.
Every patent in the Cortix AI Studio portfolio was filed pro se by Muhammad Nadeem under 37 C.F.R. § 1.29 micro entity status and assigned to United Services Associates Inc.
A tiered internet access control system for enterprise AI computing environments that partitions inference modules into zones with strictly enforced egress rules. Local inference modules operate with all outbound traffic blocked at the hardware layer. Cloud modules route only through approved provider endpoints. The architecture guarantees that sensitive data processed by local or LAN modules cannot be transmitted to external networks under any software configuration.
An automatic network provisioning system using Multicast DNS (mDNS) to enable plug-and-play discovery and configuration of workstations in a distributed local AI inference network. New workstations join the inference cluster without manual IP configuration, firewall rule updates, or service restarts. The system maintains inference continuity during membership changes and supports heterogeneous GPU configurations with automatic load rebalancing upon each join or departure event.
An intelligent model selection system that queries the target hardware's available VRAM capacity and automatically selects the optimal AI model from a tiered hierarchy of nine deployment levels (48 GB through 768 GB minimum per tier). Secondary selection criteria apply quantization preference (AWQ 4-bit, INT8, FP8), InfiniBand topology, and domain-specific model variants. The system rebalances model assignments automatically when GPU pool membership changes. No upper limit on deployable VRAM or model parameter count.
A unified GBU pool management system supporting N graphics processing units (N being any positive integer with no architectural upper limit) interconnected via NVLink and InfiniBand 400 Gbps fabric. The allocation policy engine (Ray Serve) assigns GBU subsets to three operating modes — local inference, comparative analysis, and tensor-parallel cluster — without hardware changes. New GBU nodes join via mDNS auto-discovery with zero downtime. Applications consume a stable API that requires no modification as pool size N increases to any scale.
A cloud AI query routing system that maintains an approved provider registry with capability, cost, and availability metadata, and routes inference queries across approved providers using configurable weighted distribution policies. Before every query transmission, a mandatory privacy disclosure module identifies the selected provider and advises against inclusion of confidential information. A hardware enforcement interface automatically updates firewall rules upon any registry change, ensuring outbound traffic is restricted exclusively to approved endpoint addresses at the hardware layer.
A system ensuring uninterrupted AI inference capability during WAN or internet outages by maintaining a complete local model library with versioned snapshots, offline update propagation via LAN, and automatic failover routing from cloud inference to local inference upon connectivity loss. The system verifies model integrity via cryptographic checksum, manages multi-tier model storage across NVME and HDD, and supports background model library updates without interrupting active inference sessions. No internet connection required for any local or LAN inference operation.
A multi-panel inference system that distributes a single user query simultaneously to a configurable number of language models (N panels, N ≥ 2) and presents responses in a spatially aligned interface enabling side-by-side evaluation. A structural alignment scoring engine computes semantic overlap, factual consistency, and confidence divergence metrics across all active panels in real time. The system identifies contradictions between model outputs and generates an automated conflict report. Output panels are independently scrollable, expandable, and exportable as a unified PDF with alignment annotations.
A federated AI inference architecture partitioning a three-machine local area network into privacy-isolated compute zones, each running independent language models without inter-zone data sharing. A master orchestration layer accepts unified user queries and routes subsets to each zone according to configurable privacy classification rules, ensuring that data classified above a defined sensitivity threshold never enters higher-exposure compute zones. The system supports simultaneous comparison of outputs from all three zones while maintaining complete data locality within each partition boundary throughout the inference lifecycle.
A hardware-enforced security architecture for local AI inference systems that intercepts all input destined for a language model inference engine at the hardware abstraction layer, prior to tokenization, and applies a multi-stage injection detection pipeline. The pipeline identifies adversarial instruction fragments, role-override commands, system prompt extraction attempts, and jailbreak patterns using a signature database updated independently of the application layer. Detected injections are quarantined and logged to an immutable hardware-signed audit record. The enforcement mechanism operates independently of the operating system and cannot be disabled by software-layer configuration changes, ensuring that no software compromise of the host machine can bypass the injection prevention system.
Local, LAN, and cloud AI inference platform. CortiX, NeuriX, MatriX modules. 9 patents filed. www.cortixaistudio.com
Multi-market SuperApp marketplace targeting simultaneous launch across USA, Pakistan, India, and GCC. Phase 18 complete. 18 patents.
AI legal counsel platform specializing in corporate law, SEC compliance, hedge fund formation, and IPO structuring. Claude Opus 4.7 powered.
Autonomous trading agent (VANTERRA.CAPITAL). Deterministic Go risk engine. Opus 4.7 strategy. Alpaca execution. Kill-switch hardened.
Multi-panel AI response comparison tool. Simultaneous query across unlimited models. Structured alignment scoring, conflict detection, and PDF export.
27 total patents across all ventures. All filed pro se by Muhammad Nadeem (micro entity). Assigned to United Services Associates Inc.
Founded in October 2012 in Brooklyn, New York, United Services Associates Inc. is an independent technology venture studio building AI infrastructure, marketplace platforms, and legal-financial technology systems.
Every product we build prioritizes privacy, sovereignty, and ownership — your data on your hardware, under your control. Cortix AI Studio is the flagship expression of that philosophy: frontier AI inference with zero compromises on privacy.
Muhammad Nadeem is the inventor of all 27 patents filed by United Services Associates Inc. and the principal architect of all five current ventures. He files all patents pro se under 37 C.F.R. § 1.29 micro entity status. With over 12 years building independent technology platforms, he leads engineering, product, strategy, and IP management across the full portfolio.
Whether you're interested in a Cortix AI Studio deployment, an enterprise licensing discussion, investment in any of our ventures, or a partnership inquiry — we respond to every message.