Engineering at the intersection of AI, cybersecurity, automation, DevOps, embedded systems and quantum intelligence.
Foundation models, NLP, deep learning, autonomous agents, multimodal reasoning, generative intelligence and quantum ML architectures unlocking quantum-enhanced feature spaces and computational advantage.
We build models for predictive analytics, anomaly detection, optimisation, risk modelling, advanced simulation, behavioural inference and strategic decision intelligence.
Threat intelligence pipelines, SOC automation, endpoint defence, red-team simulation engines, vulnerability discovery and behavioural detection models powered by AI and quantum ML.
Includes zero trust architectures, post-quantum cryptography readiness, IDPS engineering, SIEM optimisation and advanced forensics with machine-driven correlation.
CI/CD automation, container orchestration, Kubernetes architectures, GitOps, model governance, environment cloning, automated rollback systems and intelligent operational drift detection.
Quantum-inspired optimisation accelerates scheduling, state reconciliation and deployment sequencing.
Firmware engineering, sensor fusion, real-time signal processing, hardware-software co-design, IoT intelligence systems and safety-critical embedded architectures.
Includes edge-AI acceleration, microcontroller optimisation and secure embedded communication layers.
Decision intelligence, forecasting systems, BI dashboards, KPI engines, enterprise reporting automation, trend modelling and financial/operational prediction systems.
Includes LLM-driven semantic search, data fabric design and knowledge graph intelligence.
LLM search optimisation, semantic indexing, search volatility detection, schema alignment, ranking drift modelling and predictive search intelligence pipelines.
We integrate real-time analytics, AI-driven crawling and automated remediation.
Integrated enterprise systems combining AI, cybersecurity, embedded systems, DevOps automation and quantum-accelerated intelligence.
Quantum ML kernels, variational circuits, quantum feature maps and hybrid quantum-classical models designed to outperform classical systems in optimisation, anomaly detection, simulation and risk modelling.
Applicable to cybersecurity, supply-chain resilience, logistics routing, algorithmic forecasting, autonomous systems and strategic intelligence analysis.
Self-governing CI/CD systems, predictive rollback logic, automated dependency resolution, intelligent scheduling and operational analytics driven by ML and quantum-inspired optimisation.
Transforms reliability, reduces downtime and ensures frictionless software delivery at scale.
Adaptive anomaly detection, adversarial-resistant models, state-level threat profiling, behavioural graph analytics and hybrid post-quantum cryptographic architectures.
Engineered for national-scale and enterprise-scale cyber resilience.
Purpose-built software for cybersecurity, analytics, SEO intelligence and enterprise automation.
A sophisticated WordPress vulnerability scanner capable of plugin/theme enumeration, exposure mapping, misconfiguration detection, fingerprinting and security posture grading.
Ideal for penetration testing, site monitoring and automated defence pipelines.
AI-driven search diagnostics, schema evaluation, SERP volatility tracking, ranking drift modelling, multilingual indexability scoring and LLM visibility optimisation.
Engineered for global enterprise SEO operations.
Conversion intelligence platform with behavioural analytics, automatic segmentation, predictive user modelling and optimisation-driven funnel engineering.
Includes AI-driven A/B testing, micro-behaviour tracking and intent clustering.
Algorithm volatility engine providing real-time SERP turbulence analytics, ranking stability models, search anomaly alerts and automated SEO intelligence reporting.
Built for agencies, enterprises and high-volume search operations.
Complete technical audit tool for health analysis, performance grading, security assessment, and SEO diagnostics with automated reporting.
Demo: admin / inspect123
Deep research across quantum ML, AI, cybersecurity, embedded intelligence, optimisation, DevOps automation and enterprise information systems.
Our research explores quantum feature space expansion, entanglement-enhanced expressivity, variational learning, quantum kernels, quantum approximate optimisation and hybrid architectures offering measurable computational advantage.
We work on quantum graph networks, circuit-learning frameworks, quantum Boltzmann models, quantum kernel PCA, geometric quantum learning and noise-aware quantum neural networks designed to operate under realistic NISQ constraints.
Applications span cybersecurity, medical imaging, high-dimensional finance, climate intelligence and complex optimisation problems.
Research includes autonomous DevOps agents, predictive incident modelling, self-healing architecture, automated governance systems and quantum-enhanced infrastructure optimisation models.
We develop quantum-inspired algorithms for caching, scheduling, dependency graphs, cluster-state optimisation and distributed orchestration modelling for large-scale applications.
Our objective is end-to-end automation with intelligence, efficiency and resilience.
We develop quantum-enhanced threat detection models exploiting entanglement-based information encoding and high-dimensional feature augmentation to detect anomalies, stealth behaviours and coordinated adversarial strategies.
Includes research in post-quantum cryptography, hybrid classical–quantum SOC systems, quantum graph-based intrusion analytics and AI-driven blue-team automation.
Research prioritises defence-grade resilience and enterprise-grade operational capability.
(Founder/CEO)
(Co-Founder/CTO)
(Chief Technology Architect)
(Head of US Operations)
(Project Manager)