Technology
Engineering secure and autonomous systems for the post-classical era
CUI Labs develops foundational compute and security systems designed to operate across adversarial networks, regulated environments, and heterogeneous digital ecosystems. Our technology portfolio spans quantum-safe cryptography, autonomous AI, cross-network trust fabrics, institutional fintech security, and next-generation computational substrates.
Technology Architecture
Designed for regulated,
adversarial infrastructure
Every solution inherits the same engineering doctrine: NIST-finalized quantum-safe cryptography, agent-native runtime with Model Context Protocol (MCP) support, deterministic governance with immutable audit trails, and measurable resilience across hybrid and sovereign deployments.
Stack Blueprint
Four architectural principles
5
Architecture Layers
80+
Active Modules
8
Production Solutions
Zero
Quantum Breaches
NIST-finalized quantum-safe primitives anchor every layer
ML-KEM-768/1024 key exchanges, ML-DSA/SLH-DSA signatures, and hybrid crypto pipelines secure control planes, data planes, and device identities. OpenSSL 3.5+ integration with FIPS 203/204/205 compliance and HQC backup algorithm support.
Agent-native runtime with MCP and A2A protocols
AI agents run as first-class citizens via semantic IPC, Model Context Protocol (MCP) for context access, Agent2Agent (A2A) for multi-agent coordination, and authenticated capability tokens. Governed automation with 30+ hour autonomous operation capability.
Zero-trust connectivity with quantum-resistant overlay
Sovereign mesh networking with PQC-secured tunnels, programmable enclaves, and policy-aware gateways. SASE integration with continuous verification, real-time posture assessment, and sub-5s incident response across clouds, industrial estates, and on-chain systems.
Deterministic governance with immutable telemetry
Every workflow emits Merkle-anchored audit artifacts, policy decisions with cryptographic attestation, and recovery hooks. OpenTelemetry instrumentation with fleet-wide observability, CNSA 2.0 compliance, and evidence-grade audit trails for regulated teams.
The Trust Stack
Four-layer trust model
Our entire ecosystem is engineered on a four-layer trust model that ensures security, autonomy, and interoperability remain provable and controllable.
Autonomous Control & Coordinated Decision-Making
Autonomous orchestration steering mission-critical systems with coordinated intelligence and runtime policy enforcement.
Cryptographic Security, Key Fabric, Runtime Integrity
Quantum-safe cryptography, key orchestration, and runtime integrity hardening to withstand adversarial pressure.
Distributed Identity & Policy Fabric
Policy-aware identity mesh propagating trust, permissions, and telemetry across sovereign and enterprise domains.
Verifiable Compute & Data Provenance
Deterministic compute, data lineage, and verifiable reasoning anchoring every system action in cryptographic proof.
Capability Domains
Engineering depth across critical domains
90%
Security
Quantum-safe cryptography, zero-trust, autonomous defense
50%
Operating Systems
Agent-native kernels, deterministic runtime, capability security
70%
Networks
Sovereign connectivity, multi-hop routing, PQC overlay
60%
Vertical Solutions
Finance, industrial, blockchain, compliance automation
Quantum-Resilient Cryptography
Systems designed to remain secure against classical and quantum adversaries. NIST-finalized ML-KEM (FIPS 203), ML-DSA (FIPS 204), and SLH-DSA (FIPS 205) with HQC backup algorithm. Hybrid classical + PQC transition architectures deployed in production. Hardware-secured key fabric with HSM integration (Entrust nShield PQC-validated, Thales Luna, AWS CloudHSM, Azure HSM) and quantum-safe firmware acceleration.
Autonomous AI Defense & Operational Intelligence
AI systems that monitor, predict, contain, and self-correct with verifiable reasoning in sub-5 second response windows. Deterministically auditable with Merkle-anchored proof artifacts, resilient to adversarial influence through capability-based security, explainable in real-time via structured telemetry, and governed by safety constraints with runtime policy enforcement. Supports 30+ hour autonomous operation cycles with human oversight checkpoints.
Blockchain & Cross-Network Interoperability
Cryptographic identity, settlement, and data-provenance fabrics across 24+ heterogeneous networks. Multi-chain identity with PQC-aware attestation layers, decentralized data provenance verification with zero-knowledge proofs, cross-chain settlement via Chainlink CCIP and custom bridge infrastructure securing $33.6B+ in cross-chain value. Institutional-grade custody with quantum-resistant key management.
FinTech Infrastructure & Institutional Security
Mission-critical financial infrastructure for digital asset custodians, treasury operations teams, clearing & settlement networks, and institutional liquidity providers. Compliant programmable finance rails with 7+ jurisdiction support (GST, InvoiceNow, CPF, UK MTD, US IRS, HK IRD, AU BAS), quantum-secure custody frameworks with HSM-backed key storage, autonomous treasury orchestration with AI-driven risk scoring, and real-time regulatory sync (FATF, MiCA, GDPR, DORA).
Zero-Trust Security Architectures
Security frameworks enforcing trust-minimal operation across distributed systems and hybrid infrastructure. Continuous identity re-evaluation with behavioral analytics, runtime signature verification with PQC attestation, autonomous threat detection & containment in sub-5s windows, and adaptive network segmentation. 67% of enterprises cite end-to-end visibility as top challenge; CUI Labs addresses this with unified telemetry fabric and policy-driven access control.
Next-Generation Compute & Self-Evolving Systems
Agent-native operating environments with Model Context Protocol (MCP) and Agent2Agent (A2A) protocol support, self-modifying computation substrates with cryptographic governance, and agent-based reasoning systems with embedded safety constraints. Digital twin platforms integrating real-time sensor data, physics-based simulation, and machine learning in closed loops (Siemens Xcelerator, NVIDIA Omniverse patterns). Systems continuously evolve while remaining governed, verifiable, and deterministically controllable.
Quantum Threat Timeline
Post-quantum cryptography migration roadmap
The quantum threat is not theoretical. HNDL (Harvest Now, Decrypt Later) attacks are happening today, with intercepted encrypted data at risk when CRQCs emerge. Industry estimates: 1-in-7 chance by 2026, 1-in-2 chance by 2031, with RSA-2048 potentially breakable by 2030 (Q-Day/Y2Q). CUI Labs deploys NIST-finalized PQC algorithms (FIPS 203/204/205) across all production systems with OpenSSL 3.5+ integration and HSM-backed quantum-safe key storage.
NIST Algorithms Deployed
ML-KEM (FIPS 203), ML-DSA (FIPS 204), SLH-DSA (FIPS 205) + HQC backup across 14 microservices with OpenSSL 3.5+ integration
Hybrid Transition Mode
Classical + PQC dual-mode with staged deprecation roadmap. CISA 2026 guidance compliance for quantum-resistant procurement
HSM Integration
Entrust nShield (NIST CAVP-validated PQC), Thales Luna, AWS CloudHSM, Azure HSM for quantum-safe key storage
Production Stacks
Eight production solutions, one coherent system
QNSP
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.
QSIG
Quantum 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.
Tunnel
Quantum-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.
DDIP
Deterministic 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.
IACC
Industrial 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.
WAHH
Blockchain 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.
Profy
Modern 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.
AIOS
Autonomous 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.
CUE
Operational Intelligence System
CUE is an autonomous operational intelligence system that manages, learns, and evolves across multiple operational surfaces. Currently deployed in production managing CUI Labs' website chatbot, LinkedIn marketing automation, self-monitoring, and strategic evolution. CUE demonstrates AIOS and DDIP capabilities in a real-world production environment, showcasing autonomous decision-making, continuous learning, and self-healing operations. The system features semantic search with TF-IDF and cosine similarity, multi-provider LLM orchestration with automatic failover, strategy evolution based on interaction signals, knowledge gap detection and learning, self-testing and intelligence reporting, and autonomous content generation with image synthesis. CUE operates with minimal human intervention, making strategic decisions about content priorities, model selection, and operational adjustments based on accumulated performance data and user interactions.
NIOS
Neural-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.
Deployment Models
Three deployment models for different trust requirements
Where We Deploy
Systems selected for environments where
CUI Labs does not ship products in isolation
We build an integrated technological foundation that ensures security is provable, intelligence is explainable, interoperability is guaranteed, and autonomy remains under control.