Gen AI
Generative AI & LLM Applications
Product-grade assistants, copilots, and workflow automations on frontier or open models—with evaluation harnesses, guardrails, and cost-aware routing.
Agentic & LLM builds →Technology
Artificial Intelligence
Xenqube integrates AI into on-chain environments — building policy-aware agentic systems, governance-traceable AI workflows, and adversarial AI security frameworks that operate safely in production Web3 and enterprise contexts.
AI Development Services
From Strategy to Monitored Production AI
We ship the same layered delivery you expect from an end-to-end AI practice: generative products, classical ML, conversational interfaces, retrieval systems, data foundations, integration, and lifecycle operations—combined with security, governance, and (where needed) on-chain controls.
Conversational
Enterprise Chatbots & Virtual Assistants
Omnichannel bots with human handoff, ticketing integration, knowledge sync, and multilingual support—designed for CSAT and containment metrics, not novelty demos.
Scope a bot program →ML
Machine Learning & Predictive Models
Custom classifiers, forecasting, risk scoring, and recommendation systems with training pipelines, offline evaluation, and fairness checks where required.
Discuss ML scope →Vision & Docs
Computer Vision & Intelligent Document AI
OCR, layout parsing, KYC document flows, quality inspection, and vision-language workflows for operations-heavy industries.
Document & vision AI →RAG
RAG & Enterprise Knowledge Systems
Hybrid search, chunking strategy, access control, freshness SLAs, and hallucination controls so internal knowledge bases survive audits and updates.
Production RAG patterns →Data
Data Engineering & Grounding for AI
Ingestion, cleaning, labelling workflows, feature stores, and lineage so models train on data you can defend—not scrap you inherited.
Data readiness →Integration
AI Integration, APIs & MLOps Foundations
Model serving, A/B and shadow deployments, observability, versioning, and rollback—bridging data science outputs to reliable production services.
Operational playbook →Adaptive
Adaptive & Agentic AI Systems
Multi-step agents with tool use, approvals, and exception paths—optimised for treasury, compliance, and high-stakes automation with human override.
Agent architecture →Protect
AI Security & Red-Teaming
Prompt-injection testing, data exfiltration drills, supply-chain review for models and dependencies, and incident playbooks specific to AI failures.
Security programs →Specialised Architectures
Where Xenqube Goes Deeper
Beyond standard AI product delivery, our teams focus on policy-bound agentic systems, on-chain integration, governance traceability, and post-quantum hardening for regulated and Web3-adjacent workloads.
Agentic
On-Chain AI Agents
Agents that read on-chain state, trigger smart contract calls, and execute governance-bound actions with audit trails and override controls.
On-Chain AI Development →Governance
AI Governance Systems
Policy traceability, decision logging, model versioning controls, and compliance reporting for regulated AI deployments.
AI Governance Use Case →AI Security
Adversarial AI Security
Threat modeling for AI systems — prompt injection defenses, model input sanitization, output verification, and AI-specific incident response playbooks.
Security & Audits →Workflow
Agentic Workflow Orchestration
Multi-agent pipelines with role separation, step-level approvals, exception handling, and reconciliation for treasury, compliance, and operational workflows.
Agentic Systems →AI + Web3
AI-Augmented DeFi
Integrating AI decision engines with smart contracts — automated rebalancing, risk monitoring, and liquidity management with governance override.
Web3 Technology →AI + PQC
Quantum-Resistant AI Infrastructure
Securing AI model storage, inference pipelines, and agent communication channels with post-quantum cryptographic primitives.
Post-Quantum Cryptography →AI Security Principles
AI That Is Safe by Design
Policy-bound execution
All AI actions are bounded by on-chain or off-chain policy rules. Agents cannot execute actions outside defined governance parameters without human override.
Adversarial threat modeling
We model prompt injection, data poisoning, model inversion, and supply-chain attacks as part of architecture — before any AI component enters production.
Audit-ready traceability
Every decision, trigger, and outcome is logged with sufficient context for compliance review, incident forensics, and regulatory reporting.
Use Cases
AI in Production
Governance
AI Governance Platform
Policy traceability and auditability architecture for regulated AI deployments in enterprise environments.
Markets
Prediction Market Infrastructure
AI-augmented prediction resolution with oracle integration and manipulation-resistant settlement.
Operations
NGO Payroll Orchestration
Agentic payroll disbursement across multiple currencies and corridors with compliance controls.
IoT / Fleet
Fleet Telematics & AI Ops
Mixed OEM telematics fusion, operational AI with guardrails, and settlement-grade event integrity.
IoT / Plant
Industrial IoT & Sensor AI
OPC-UA and MQTT pipelines, multimodal anomaly detection, and maintenance copilots grounded in historian data.
Energy
Grid Edge AI Flexibility
DER forecasting, advisory dispatch with human breaker authority, and flexibility market settlement proofs.