What We Do
End-to-end AI capabilities — from strategy and architecture to shipping production-ready products.
Autonomous pipelines that run without you
We design and build multi-step AI agents that operate independently — discovering data, enriching it with LLMs, making decisions, and publishing results without manual intervention. Whether it's a content curation agent, a data processing pipeline, or a workflow that integrates multiple AI providers, we architect for reliability and scalability.
What's included
- Custom agent architecture design
- LLM orchestration (Gemini, OpenAI, Claude)
- Vector search & semantic deduplication (pgvector)
- Prefect / Airflow workflow orchestration
- Docker-based local and cloud deployment
- Per-run logging and observability
Make your existing product dramatically smarter
Already have a product? We integrate state-of-the-art AI into your existing platform — adding intelligent chat, semantic search, automated content generation, or LLM-driven classification. We handle the full stack: prompt engineering, API integration, response streaming, and UI wiring.
What's included
- Gemini / OpenAI / Claude API integration
- Prompt engineering and optimisation
- Retrieval-Augmented Generation (RAG)
- Vector embeddings and semantic search
- Streaming responses and real-time UX
- Cost optimisation and model selection
Production-ready apps, not just prototypes
We build complete, production-ready web applications using Next.js, TypeScript, and Firebase — with clean UX, real-time features, authentication, and CI/CD deployment. Every app we build is designed to scale and to be maintained long-term, not thrown away after a demo.
What's included
- Next.js 15 + TypeScript + Tailwind CSS
- Firebase Auth, Firestore, App Hosting
- shadcn/ui component systems
- Mobile-first responsive design
- Firebase / Vercel / custom deployment
- PWA, SEO, and performance optimisation
Strategy, architecture, and hands-on implementation
Not sure where to start with AI? We help you assess your product, define an AI integration strategy, and prioritise the highest-value use cases. With 19+ years of engineering experience spanning embedded hardware to LLM-powered cloud products, we bring a systems-level perspective that pure AI practitioners often lack.
What's included
- AI readiness and opportunity assessment
- LLM provider and model selection
- Architecture review and design
- Proof-of-concept development
- Team capability building
- Ongoing advisory and implementation