Solutions
Products built on XIIS
Every CUI Labs product is a surface on the eXtended Intelligence Infrastructure System. They share memory, policy, telemetry, and assurance through the same substrate — grouped here by their primary architectural alignment.
CUI Product Overlay
Products grouped by architectural alignment
Every CUI Labs product maps to a layer of XIIS. The overlay shows where each product sits relative to the core — from substrate-level systems to industry-specific deployments.
XIIS-Native
Products that operate at the substrate level — directly implementing XIIS cognitive and runtime primitives.
Control Plane-Aligned
Products that enforce policy, cryptographic assurance, and trust boundaries across the platform.
Runtime & Execution-Aligned
Products that run workloads, coordinate agents, and execute deterministic or autonomous processes.
Domain System-Aligned
Products that deliver intelligence, compliance, and operational capability within specific functional domains.
Fintech Risk & Intelligence
Products delivering quantum-enhanced prediction, institutional risk scoring, and AI-native agent deployment for regulated financial operations.
Industry System-Aligned
Products purpose-built for regulated industries, sovereign infrastructure, and mission-critical verticals.
All 13 products covered
Product Deep Dives
Every product in detail
Quantum-Native Security Platform
Enterprise security platform delivering end-to-end post-quantum cryptography protection across 18 production microservices. Implements 90 PQC algorithms across 14 families including all NIST FIPS finalized standards (ML-KEM, ML-DSA, SLH-DSA), draft Falcon, and selected HQC. Features zero-trust Edge Gateway with PQC-TLS termination, secrets vault with automatic rotation, HSM-integrated key management (Thales Luna, Entrust nShield, AWS CloudHSM, Azure HSM), searchable symmetric encryption, AI workload orchestration with GPU/TPU enclave scheduling across 8 hardware enclave types, tamper-evident audit logging with PQC-signed hash chains, and crypto inventory service that discovers and migrates classical crypto assets across 11 cloud providers. Includes browser-side PQC encryption via noble provider with 18 FIPS algorithms requiring zero server round-trips. Available as managed SaaS, VPC, on-premises, or fully air-gapped deployments.
90 (14 families)
PQC Algorithms
18 production
Microservices
12 packages
TypeScript SDKs
8 types
Hardware Enclaves
11 supported
Cloud Providers
10GB + 50K API/mo
Free Tier
Capabilities
90 PQC algorithms across 14 families via liboqs native bindings with all NIST FIPS finalized standards
18 production microservices with sub-33ms latency and zero-trust architecture
Browser-side PQC encryption via noble provider (18 FIPS algorithms, zero server round-trips)
Crypto inventory service discovering classical crypto across 11 cloud providers with automated PQC migration
Zero-trust Edge Gateway with hybrid PQC-TLS (24/28 connections) and continuous posture evidence
Tamper-evident audit logs with PQC-signed events, SHA3-512 hash chains, and Merkle checkpoints
HSM integration with multi-HSM failover (Thales Luna, Entrust nShield, AWS CloudHSM, Azure HSM)
AI orchestration with GPU/TPU scheduling and 8 hardware enclave types with cryptographic attestation
Searchable symmetric encryption (SSE) for encrypted full-text search with zero plaintext exposure
Secrets vault with PQC encryption, automatic rotation, and KMS integration
4 crypto policy tiers (default, strict, maximum, government) with HSM-enforced root key protection
Threat model v2.0.0 with CRQC assumptions, HNDL timeline phases, and algorithm lifecycle tracking
Interfaces
Deployment
Managed SaaS (Free Forever: 10GB storage + 50K API calls/month + 20 KMS keys + 25 vault secrets, no credit card), Private/VPC, On-Premises, or Fully Air-Gapped
CUE
Release CandidateFlagship Intelligence & Runtime Application on XIIS
CUE is the first production system running on XIIS. It operates across seven intelligence layers — public, marketing, commercial, operational, SEO & site, social agent, and client experience — each wired into the XIIS cognitive substrate, runtime, and control plane. CUE manages website chat, AI search, autonomous LinkedIn and social posting, content generation with evidence-gated publishing, lead scoring, attribution, operational reporting, SEO monitoring, and self-healing client experience. It demonstrates what XIIS-native autonomy looks like in production: agents that reason, learn, publish, and self-correct with minimal human intervention, governed by policy, telemetry, and assurance at every step.
7
Intelligence Layers
2 (14 models)
LLM Providers
Production
Deployment
3
Social Platforms
Continuous
Learning
Release Candidate
Stage
Capabilities
Public Intelligence: website chat, AI search, product discovery, and external knowledge response
Marketing Intelligence: content generation, LinkedIn/Twitter posting, article and image generation, evidence-gated publishing, send-time optimization, and pillar affinity mapping
Commercial Intelligence: lead scoring, attribution engine, audience/engagement/conversion signals, and strategy evolution
Operational Intelligence: admin chat, OI tools and workflows, correlation engine, alerting, quality scoring, evidence formatting, and operational reports
SEO & Site Intelligence: SEO monitoring, snapshot analysis, structured data, site and external content crawl
Social Agent Systems: Moltbook agent, feed learning, topic selection, autonomous posting, commenting, and agent guardrails
Client Experience: self-healing, self-tuning, A/B testing, UX telemetry, and Core Web Vitals monitoring
Multi-provider LLM orchestration with Ollama-first cascade, circuit breakers, and cost-tier routing
Semantic search with TF-IDF extraction, cosine similarity, and canonical product knowledge
Strategy evolution engine adapting content priorities from interaction signals
Memory persistence with working, episodic, semantic, and procedural memory via XIIS cognitive substrate
Input/output guardrails with secret redaction, PII protection, and threat detection
Interfaces
Deployment
Production SaaS on XIIS (cuilabs.io) with Vercel cron automation and Redis-backed state
Tunnel
AlphaQuantum-Safe Connectivity Fabric
Quantum-safe connectivity fabric with programmable tokenomics, deterministic multi-hop routing, and telemetry pipelines. Delivers sovereign, verifiable connectivity for enterprises, operators, and privacy products with WireGuard automation and Polygon-based settlement economics. Features PQC-secured overlay, policy-controlled access, and progressive decentralization with on-chain governance.
5+
Client Surfaces
Multi-hop
Node Orchestration
5
Governance Pillars
5,000 TNL
Min Stake
Real-time
Route Quality
Air-gapped
Sovereign Ready
Capabilities
Quantum-safe connectivity fabric with deterministic multi-hop routing and programmable incentives
Integrated observability and telemetry pipelines for sovereign network operations
PQC-secured overlay with policy-controlled access and mixnet padding
Fixed 1B TNL supply with programmable emissions and automated Polygon-based settlement
Multi-platform clients: web, desktop (Tauri), browser extension, mobile (iOS/Android), IoT
Progressive decentralization with 5 governance pillars and on-chain voting
WireGuard automation with deterministic route scoring and real-time quality metrics
Air-gapped deployment support for sovereign and defense environments
Interfaces
Deployment
Cloud and edge mesh with self-hosted gateways, hybrid, or air-gapped
DDIP
AlphaDeterministic Development Intelligence Platform
Unifies 22 deterministic analyzers and fixers, quantum optimization, and governed remediation workflows. Supports air-gapped, enterprise managed, and SaaS deployment models with Merkle-anchored audit artifacts and fleet-wide OpenTelemetry instrumentation. Policy-backed developer experience with audit-grade traceability across desktop, CLI, and web surfaces.
22
Deterministic Engines
AST-enhanced
Quantum Suites
3
Deployment Models
Versioned
Policy Enforcement
Immutable
Audit Evidence
Fleet-wide
Telemetry
Capabilities
22 deterministic analyzers and fixers across code, models, quantum circuits, and workflows
Quantum-aware optimization with governed remediation pipelines and circuit normalization
Policy-backed developer experience with audit-grade traceability and versioned enforcement
Kernel-pure quantum workflows: validation, optimization, governed remediation, circuit synthesis
Circuit normalization across OpenQASM 2/3, XIR, Qiskit, Cirq, Braket, Quil, Q#
CI/CD connectors for GitHub, GitLab, Jenkins, Azure DevOps, CircleCI, Travis CI
Merkle-anchored audit artifacts with immutable evidence trails
Fleet-wide OpenTelemetry instrumentation with real-time policy enforcement
Interfaces
Deployment
Desktop, CLI, and web workspace with air-gapped, enterprise managed, or SaaS models
BotHub
StagingAI Agent Deployment & Orchestration Platform
BotHub is a staging-stage platform for deploying, orchestrating, and governing AI agents across enterprise workflows. It provides agent lifecycle management — from creation and configuration through deployment, monitoring, and retirement — with multi-channel deployment surfaces and policy-governed execution. BotHub enables enterprises to operationalize AI agents at scale without building custom orchestration infrastructure, with built-in guardrails, telemetry, and compliance hooks. The platform integrates with XIIS cognitive substrate for memory, reasoning, and context management, positioning it as the enterprise-facing deployment layer for AIOS-native agents.
Multi-channel
Deployment Surfaces
Policy-driven
Governance
XIIS-native
Integration
Multi-tenant
Tenancy
Audit-ready
Compliance
Staging
Stage
Capabilities
Agent lifecycle management: creation, configuration, deployment, monitoring, retirement
Multi-channel deployment: web, API, messaging platforms, enterprise apps
Policy-governed execution with guardrails, approval gates, and kill switches
Built-in telemetry and observability for agent performance and cost monitoring
Compliance hooks for regulated industries with audit trail generation
XIIS cognitive substrate integration for memory, reasoning, and context
Multi-tenant architecture with role-based access and delegation controls
Agent marketplace and template library for rapid enterprise deployment
Interfaces
Deployment
SaaS, VPC, or on-premises with enterprise SSO and compliance integrations
SIGQ
StagingQuantum-Enhanced Stock Market Prediction System
SIGQ is a hybrid quantum-classical stock prediction platform combining Variational Quantum Classifiers (VQC) and Quantum Neural Networks (QNN) with classical ML models (LSTM, Transformer, Bayesian Neural Networks) and 97 technical indicators across price, volume, momentum, volatility, pattern, and market microstructure features. Every prediction includes comprehensive explainable AI reasoning — not just a signal, but why. The system validates prediction quality and rejects outputs below 50% confidence threshold. Features PQC-secured authentication using CRYSTALS-Dilithium (ML-DSA, NIST FIPS 204) signed JWT tokens, CRYSTALS-Kyber (ML-KEM) key exchange, and AES-256-GCM symmetric encryption. Real-time WebSocket streaming delivers BUY/SELL/HOLD signals with entry/exit points, stop-loss, take-profit, and risk metrics (VaR, CVaR, Sharpe, Sortino, max drawdown). Supports IBM Quantum, Google Sycamore, Azure Quantum, and local simulator backends. Multi-source market data from Yahoo Finance, Alpha Vantage, Finnhub, Polygon, Twelve Data, EOD Historical, Marketstack, and FMP.
97
Technical Indicators
4
Quantum Backends
Dilithium3
PQC Auth
Real-time
Signal Latency
4
Model Profiles
Staging
Stage
Capabilities
Variational Quantum Classifiers (VQC) and Quantum Neural Networks (QNN) with 4-7 qubit configurations
97 technical indicators: price, volume, momentum, volatility, pattern, and market microstructure features
Explainable AI: every prediction includes comprehensive reasoning (WHY, not just WHAT)
Quality validation: rejects predictions below 50% confidence — no false confidence
PQC-secured authentication: CRYSTALS-Dilithium (ML-DSA FIPS 204) signed JWT tokens on every API call
Real-time WebSocket streaming with BUY/SELL/HOLD signals, entry/exit points, stop-loss, and take-profit
Enterprise risk metrics: VaR (95%), CVaR, Sharpe ratio, Sortino ratio, max drawdown, rolling volatility
Multi-source market data: Yahoo Finance, Alpha Vantage, Finnhub, Polygon, Twelve Data, EOD, FMP
Quantum backends: IBM Quantum (16 qubits), Google Sycamore (53 qubits), Azure Quantum, local simulator
4 model profiles: Classical (15ms), Quantum-Fast (4q/2L), Quantum-AI (5q/3L), Quantum-Max (7q/4L/97 features)
Market regime detection: Bull/Bear/Sideways/Volatile with adaptive strategy switching
Prediction tracking with accuracy verification, adaptive learning loops, and concept drift detection
Interfaces
Deployment
SaaS, VPC, or on-premises with quantum backend integration (IBM, Google, Azure, simulator)
QSIG
DevelopmentQuantum Secure Interoperable Grid
AI-native security fabric for secure, autonomous, and compliant blockchain operations across 24 chains. Delivers audit, detection, response, custody, and governance with sub-5s automated defense and a PQC-aware roadmap spanning 13 core security modules. QSIG unifies audit, detection, response, custody, compliance, governance, and economics in one coordinated stack where detection triggers response, governance enforces policy, and compliance drives custody.
8
Security Pillars
13+
Core Modules
24
Chains Covered
<5s
Incident Response
30+
Vulnerability Classes
Aware + Roadmap
PQC Posture
Capabilities
8 security pillars: Audit, Detection, Response, Custody, Compliance, Governance, Network, Token
13+ core modules including Cert (audit), Bloc (detection), Trace (response), Vault (custody)
AI-native anomaly detection triggering sub-5s autonomous containment
PQC-aware cryptography roadmap securing custody, transport, and attestation across 24 chains
Automated smart contract auditing across 30+ vulnerability classes
Zero-knowledge privacy and blockchain-native KYC/AML compliance
Real-time regulatory sync (FATF, MiCA, GDPR, DORA)
Multi-chain support: Ethereum, Solana, Polygon, Avalanche, BSC, and 19 more
Interfaces
Deployment
SaaS, hybrid, or sovereign mesh with customer-managed keys
IACC
DevelopmentIndustrial Autonomous Command Cloud
Mission-control cloud for autonomous industrial operations uniting edge telemetry, AI orchestrators, digital twins, and industry packs across LNG, energy, marine, and aerospace fleets. Targets <2% unplanned downtime with simulation-backed change management. Features ClickHouse-backed telemetry, Kafka event streaming, and OTLP exporters for observability by default.
4
Autonomy Layers
4+
Industry Packs
250+
Edge Agents
<2%
Unplanned Downtime
Real-time
Carbon Accounting
Daily
Twin Rehearsal
Capabilities
Autonomous command cloud for industrial fleets, plants, and OT networks
4 autonomy layers: telemetry ingestion, digital twin sync, AI orchestration, safety governance
Digital twin ingestion with real-time telemetry and situational awareness
Safety and recovery logic orchestrated via AI agents with autonomous containment
Industry packs: LNG terminals, marine fleets, utilities grids, aerospace operations
Monte Carlo and rule-based scenario simulation with twin rehearsal
Carbon accounting hooks per industry pack with ESG reporting
250+ edge agents with redundant command paths and failover logic
Interfaces
Deployment
Edge, plant, and cloud control rooms with redundant command paths
WAHH
DevelopmentBlockchain Multi-Rails for Modern Finance
Solana-based multi-rails platform unifying token operations, risk, compliance, and ESG automation. Enables programmable capital deployment for treasuries, fintechs, and sovereign funds with AI-native risk scoring and 10-stage TokenOps lifecycle. Features treasury-safe multi-rail settlement, liquidity orchestration, and governance-driven treasury actions.
10
TokenOps Stages
4 tracks
Risk Automation
3
Deployment Models
Real-time
AI Automation
Policy-as-code
PQC Roadmap
SOC2/PCI/ISO
Compliance
Capabilities
Programmable blockchain rails for regulated finance on Solana and L2 ecosystems
10-stage TokenOps lifecycle: sale, staking, vesting, referrals, governance, ESG, rewards, burns, airdrops, treasury
AI-native risk engine with real-time scoring and anomaly detection
Integrated risk/compliance packs with ESG automation and carbon accounting
Treasury-safe multi-rail settlement and liquidity orchestration
Governance-driven treasury actions with policy enforcement
PQC migration roadmap for long-lived secrets and custody keys
SOC2, PCI-DSS, and ISO 27001 compliance frameworks
Interfaces
Deployment
Hosted rails with bank and treasury connectors, hybrid, or sovereign
Profy
DevelopmentModern Operating System for Finance & Compliance
Event-driven finance platform unifying ledger, AR/AP, banking, treasury, payroll, and compliance orchestration with AI automation. Supports 7+ compliance jurisdictions including GST, InvoiceNow, CPF, UK MTD, US IRS, HK IRD, and AU BAS. Enables mid-market teams to steer the business in real time with embedded data plane for controllers, risk, and back-office teams.
10
Modular Services
7+
Jurisdictions
3
Deployment Models
Temporal-ready
Event-Driven
6
AI Tracks
Evidence-grade
Audit
Capabilities
Event-driven finance OS unifying ledgers, compliance packs, and workflows
10 modular services: ledger, AR/AP, banking, treasury, payroll, compliance, reporting, forecasting, cash ops, audit
7+ compliance jurisdictions: GST, InvoiceNow, CPF (Singapore), UK MTD, US IRS, HK IRD, AU BAS
6 AI automation tracks: AR/AP, ledger intelligence, forecasting, cash ops, compliance, reporting
Filing lifecycle automation with regulator SLA enforcement and evidence-grade audit trails
Multi-entity, multi-currency handling with FX projections and treasury automation
Cross-jurisdiction controls with policy automation and real-time compliance monitoring
Temporal-ready event-driven architecture with workflow orchestration
Interfaces
Deployment
Cloud SaaS with secure back-office integrations, hybrid, or on-prem
AIOS
DevelopmentAutonomous Interoperable Operating System
AIOS is an integrated agent-native operating system combining three foundational technologies: autonomous runtime (AIOS core), cognitive data exchange protocol (CDEX), and self-evolving compute substrate (SILOX). It represents a paradigm shift from static, human-centric operating systems to living, AI-native compute infrastructure. AI agents run as first-class native processes with semantic IPC, shared cognitive memory fabric, and post-quantum cryptographic isolation. The system features structural plasticity through adaptive syscalls, continuous self-optimization that monitors and rewrites behavior in response to agent activity and threat surfaces, and cryptographically-governed evolution with reversible lineage and deterministic rollback. CDEX enables semantic interoperability between agents, allowing them to exchange intent, context, ontology, reasoning outputs, confidence maps, memory embeddings, and state of belief rather than raw data. SILOX provides the self-evolving substrate that rewires and optimizes itself over time, enabling autonomous infrastructure management, self-healing security, and emergent optimization beyond classical static computing. The entire stack enforces capability security, hardware attestation (Intel SGX, AMD SEV, ARM TrustZone), governed automation with runtime guards, and cryptographic proof artifacts for every system action.
Agent-native
Architecture
Semantic
IPC Model
Capability-based
Security
PQC-native
Cryptography
Hardware
Attestation
Capabilities
Agent-native kernel where AI agents run as native processes with semantic IPC
Shared cognitive memory fabric enabling agents to exchange semantic structures
Cognitive data exchange protocol (CDEX) for intent, context, and reasoning interoperability
Self-evolving compute substrate (SILOX) with continuous self-optimization
Structural plasticity through adaptive, context-aware, modifiable syscalls
Cryptographically-governed evolution with reversible lineage and deterministic rollback
Deterministic runtime enforcing capability security and PQC isolation
First-class AI agent process model with authenticated capability tokens
Hardware attestation support for bare metal and cloud hosts (Intel SGX, AMD SEV, ARM TrustZone)
Observability hooks for agent telemetry, policy enforcement, and real-time monitoring
Governed automation with runtime guards and cryptographic proof artifacts
Autonomous infrastructure: self-tuning clusters, self-reconfiguring networks, adaptive compute pools
Self-healing security that rewires defenses in response to threats with cryptographic audit trails
Cross-platform support: Linux, macOS, Windows, bare metal, containerized, embedded
Interfaces
Deployment
Bare metal and cloud hosts with hardware attestation, containerized, or embedded
Q-Risk-Engine
DevelopmentQuantum-Inspired Credit Risk & Fraud Engine
Q-Risk-Engine is a hybrid quantum-inspired risk platform for institutional-grade credit risk scoring, fraud detection, and portfolio optimization. Built across four planes — credit, fraud, optimization, and governance — with 8 core modules and proto-defined service contracts. Delivers TypeScript, Python, and Java SDKs for integration into existing risk infrastructure. The engine applies quantum-inspired optimization algorithms to credit scoring models, enabling faster convergence on risk surfaces that classical solvers struggle with at scale. Fraud detection leverages anomaly detection with graph-based relationship modeling across transaction networks. The governance plane enforces policy, audit trails, and regulatory reporting across all risk decisions.
4
Risk Planes
8
Core Modules
3 languages
SDKs
Quantum-inspired
Approach
Proto-defined
Contracts
Development
Stage
Capabilities
Hybrid quantum-inspired credit risk scoring with classical fallback for production reliability
Fraud detection with graph-based transaction network analysis and anomaly scoring
Portfolio optimization using quantum-inspired solvers for large-scale risk surfaces
Governance plane with policy enforcement, audit trails, and regulatory reporting
4 planes: credit, fraud, optimization, governance — 8 core modules
Proto-defined service contracts for institutional integration and interoperability
TypeScript, Python, and Java SDKs for multi-language enterprise deployment
Real-time risk scoring with sub-100ms latency targets for transaction decisioning
Interfaces
Deployment
On-premises, VPC, or hybrid for regulated financial institutions
NIOS
ResearchNeural-Interface Operating System
NIOS is a vision-focused neural interface operating system designed to bridge human cognition and AI agents through non-invasive neural signals and brain-computer interfaces. It represents the future of human-AI collaboration where intent, not commands, drives interaction. NIOS captures human cognitive signals—attention, intent, emotional state, decision patterns, and contextual awareness—via non-invasive sensors (EEG, fNIRS, eye tracking, biosignals) and translates them into semantic structures that AI agents can interpret and act upon. The system enables real-time co-working interfaces where humans and AI agents share execution context across applications: a human thinks about a task, NIOS captures the intent, routes it to the appropriate AI agent, and the agent executes while maintaining bidirectional feedback loops. NIOS operates as a neural co-working OS that eliminates the keyboard-mouse-screen bottleneck, enabling fluid thought-to-action workflows for knowledge work, creative tasks, research, and mission-critical operations. The architecture includes adaptive learning loops that improve intent recognition over time, verifiable semantic reasoning to ensure AI agents correctly interpret human intent, privacy-preserving neural data processing with on-device computation, and integration with AIOS for seamless agent orchestration. NIOS is positioned as a long-term research initiative exploring the intersection of neuroscience, AI, and human-computer interaction.
Neural signals
Interface
Non-invasive
Modality
On-device
Processing
Encrypted
Privacy
AIOS-native
Integration
Research
Stage
Capabilities
Non-invasive neural signal capture via EEG, fNIRS, eye tracking, and biosensors
Intent recognition and semantic translation from cognitive signals to agent-executable structures
Real-time co-working interface between human cognition and AI agents
Bidirectional feedback loops enabling humans to monitor and guide agent execution
Adaptive learning loops that improve intent recognition accuracy over time
Privacy-preserving neural data processing with on-device computation and encrypted transmission
Verifiable semantic reasoning ensuring AI agents correctly interpret human intent
Integration with AIOS for seamless agent orchestration and shared cognitive memory
Context-aware routing of intent to appropriate AI agents based on task domain
Thought-to-action workflows eliminating keyboard-mouse-screen bottlenecks
Support for knowledge work, creative tasks, research, and mission-critical operations
Neuroscience-backed cognitive models for attention, decision-making, and emotional state
Interfaces
Deployment
Research labs, neuroscience institutes, human-AI interaction studies, future consumer devices
Deployment
XIIS deploys where others cannot
Sovereign, air-gapped, hybrid, and cloud-native deployment patterns are first-class concerns in the XIIS architecture — not afterthoughts.
Managed Cloud
Hosted infrastructure with full platform management and SLA-backed operations.
Multi-tenant isolation
Managed infra
Rapid deployment
Targets
Private VPC
Dedicated deployment within customer-controlled cloud environments.
Customer VPC
Data residency
Compliance control
Targets
Hybrid / Edge
Split execution across cloud and on-premises or edge nodes with unified control plane.
Split execution
Edge runtime
Unified control
Targets
Sovereign / Air-Gapped
Fully isolated deployment with no external dependencies. Designed for classified, sovereign, and mission-grade environments.
Air-gapped
Full isolation
Offline signing
Targets
Sovereign / Air-Gapped
Full XIIS stack deployable in disconnected environments. No external dependencies at runtime. Designed for defense, critical infrastructure, and classified operations.
Hybrid Cloud
Control plane on-premises or in a sovereign cloud. Data plane spans cloud and edge. Policy and telemetry flow through a unified fabric regardless of where compute runs.
Cloud-Native
Full deployment on AWS, Azure, GCP, or sovereign cloud providers. Kubernetes-native with OpenTelemetry instrumentation, health endpoints, and fleet-wide observability.
Edge / Industrial
Lightweight XIIS runtime for edge nodes, industrial controllers, and autonomous fleets. Supports 30+ hour autonomous operation cycles with human oversight checkpoints.
Multi-Tenant SaaS
Isolated tenant boundaries with shared platform services. Policy-aware identity mesh propagates trust and permissions across tenant domains without cross-contamination.
On-Chain / Hybrid Web3
XIIS control plane integrates with 24+ blockchain networks via WAHH and QSIG. Cryptographic identity and settlement fabric with PQC-aware attestation layers.
Deploy on XIIS
Start with QNSP Cloud free, or discuss enterprise deployment options for your security-critical environment.