AI engineering and security, end to end

We design and build AI agents using PromptSage V2.5 as the behavioural foundation. RAG pipelines, multi-model orchestration, tool use — all with structural security baked in from day one.

• Custom AI agents with PromptSage behavioural control
• RAG pipeline design and implementation
• Multi-model orchestration (Claude, GPT-4, Mistral, Llama)
• Knowledge base architecture and chunking strategy
• Evaluation harnesses and regression testing for AI behaviour
• Post-deployment monitoring and drift detection

Using CyberSage — our AI-assisted penetration testing platform — we assess, harden, and red-team your AI systems against prompt injection, jailbreaking, and data leakage attacks.

• LLM security assessment and hardening
• Prompt injection penetration testing
• AI red teaming across model families
• PromptSage implementation and audit
• Unicode and emoji injection vector analysis
• Security posture reporting and remediation planning

Before you build, you need a plan. We assess your current systems, define the right AI architecture, select appropriate models and frameworks, and design the integration path — reducing risk before a line of code is written.

• AI strategy and architecture planning
• Framework selection and integration design
• Workflow automation architecture
• Risk assessment and compliance mapping
• Vendor evaluation and model selection guidance
• Roadmap and phased delivery planning

From Next.js web apps to Tauri desktop applications, we build full-stack products with TypeScript, modern tooling, and the same structural rigour we apply to AI systems.

• Web applications (Next.js 15, React 19, TypeScript)
• Desktop apps (Tauri 2, Rust backend)
• API design and implementation (Fastify, PostgreSQL)
• Vercel deployment and CI/CD pipeline setup
• Performance optimisation and Core Web Vitals audits
• Accessibility (WCAG 2.2 AA) reviews and remediation