⚠️ Beta / Active Development - Not for Production Use
This product is in Release Candidate and is NOT intended for production deployments.
- Subject to breaking changes without notice
- Not covered by service level agreements
- May contain bugs, errors, or security vulnerabilities
- Features may be modified or removed
- Provided "AS IS" without warranties
For production use, select Generally Available (GA) products only.
CUE
Release CandidateFlagship Operational Intelligence System on XIIS
CUE is the flagship Operational Intelligence System (OIS) on XIIS and the operational control surface across the CUI Labs portfolio. It is structured as six modular layers: Interaction (chat, admin, APIs — chat is a surface, not the whole solution), Intelligence (intent, routing, retrieval orchestration, synthesis, bounded agent execution), Knowledge (indexed site truth, freshness, citations, knowledge gaps), Workflow (tools, schedules, sync, marketing and ops pipelines), Governance & Control (evidence policy, refusals, tool gates, safety, auditability), and Observability & Improvement (logs, correlation, quality signals, admin reports, hooks for evals). It runs in production on cuilabs.io with multi-provider LLM orchestration, semantic search, strategy evolution, evidence-gated publishing, lead and attribution signals, operational reporting, SEO and crawl pipelines, governed social agents, and portfolio-aware solution intelligence rooted in XIIS.
6
OIS layers
2 (14 models)
LLM Providers
Production
Deployment
3
Social Platforms
Continuous
Learning
Release Candidate
Stage
Stack Capabilities
What CUE delivers
Interaction: Public chat and AI search surfaces; Admin console and private admin chat
Intelligence: Intent classification and route selection; Retrieval orchestration and answer synthesis
Knowledge: Site and content indexing with metadata; Source freshness and authority-aware retrieval
Workflow: Bounded tool execution and OI workflows; Admin-safe actions (reports, SEO, social preview, sync)
Governance: Evidence policy and refusal rules; Tool permissioning and action gating
Observability: Interaction and event logging, correlation, incidents; Model/provider signals and quality scoring
XIIS-native portfolio intelligence: understands how QNSP, BotHub, and every CUI Labs solution map onto the shared runtime, control plane, memory, and trust stack
Marketing & social: content generation, evidence-gated publishing, LinkedIn/Twitter, Moltbook agent with guardrails
Commercial signals: lead scoring, attribution, engagement and strategy evolution
SEO & site: monitoring, structured data, site and external crawl pipelines
Client experience: self-tuning, engagement telemetry, Core Web Vitals monitoring
Multi-provider LLM orchestration with failover, circuit breaking, and cost-tier routing
Semantic search with TF-IDF / embeddings and canonical solution knowledge (PK) loaders
Memory persistence (Redis-backed when configured) and knowledge gap registry
Input/output guardrails: threat handling, sanitization, secret redaction
Interfaces & Modules
Integration surfaces
Deployment
Where it runs
Production SaaS on XIIS (cuilabs.io) with governed workflows, Vercel cron automation, and Redis-backed state; extensible to private operator surfaces as XIIS expands
Total Addressable Market (Yr.2030)
Complementary
Third-Party Services & Dependencies
CUI Labs products integrate with and depend on third-party services including blockchain networks, cloud infrastructure providers, cryptographic libraries, identity providers, and certificate authorities.
CUI Labs is not responsible for:
- Availability, performance, or security of third-party services
- Changes to third-party APIs, protocols, or standards
- Third-party service outages, breaches, or failures
- Costs associated with third-party services
- Compliance of third-party services with applicable laws
Performance metrics and capabilities may be affected by third-party service limitations. Customers are responsible for evaluating and accepting risks associated with third-party dependencies.
FAQ
Common questions about CUE
What makes CUE different from ChatGPT or other AI chatbots?
CUE is not a chatbot — it's a six-layer Operational Intelligence System (OIS). While chatbots provide conversational interfaces, CUE delivers governed AI agents with evidence gates, workflow automation, semantic search, multi-LLM orchestration, and observability. Every action is auditable, every output is grounded in indexed knowledge, and every workflow has explicit safety controls.
How does CUE ensure AI safety and governance?
CUE implements governance at every layer: evidence policy gates that require proof before publishing, tool gates that control what AI can access, refusal policies for unsafe requests, input/output guardrails for threat handling and secret redaction, and full audit trails with correlation IDs. Operators maintain explicit control over what the system may do.
Can CUE integrate with my existing systems?
Yes. CUE provides Chat API, AI Search API, Admin API, Scheduler API, Analytics API, and Social Agent API. It supports multi-provider LLM orchestration (14+ models across 2 providers), Redis-backed state persistence, and integrates with marketing platforms like LinkedIn and Twitter with evidence-gated publishing.
From the editorial
Latest writing on CUE
QNSP and Blockchain: Strengthening Security Beyond the Ledger
Why blockchain security extends beyond the chain itself, and how QNSP complements blockchain-connected systems with post-quantum, trust-centric infrastructure.
Read article29 Mar 2026Post-Quantum Cryptography in 2026: NIST Standards, Enterprise Adoption, and Implementation Guide
Complete guide to post-quantum cryptography in 2026. NIST FIPS 203/204/205 standards (ML-KEM, ML-DSA, SLH-DSA), enterprise migration strategies, and harvest-now-decrypt-later protection.
Read article29 Mar 2026AI Governance for Enterprise: Building Governed AI Agents with Evidence Gates
How to build governed AI agents for enterprise with evidence gates, audit trails, and operator controls. Learn the six-layer OIS architecture and why chatbots are not enough.
Read articleInterested in CUE?
Discuss deployment options, technical evaluations, and structured pilots with the CUI Labs engineering team.