AI Systems & Engineering
Led by Sam's deep expertise in data engineering and AI systems, we've built RAG infrastructure and agentic workflows for businesses across sectors.
Our team doesn't do surface-level integrations, we architect vector databases, design retrieval pipelines, build autonomous agent systems, and set up the infrastructure that makes AI reliable in production.
Whether you need a custom RAG implementation, multi-agent orchestration, or an AI system that scales with your data, we've already solved these problems.
Case Study #1 - Hours AI Chat & Research
Over two months, we designed and developed Hours, a full-stack AI personal research agent. We built an agentic backend that handles autonomous research workflows and paired it with a chat interface that's actually pleasant to use. The result: a platform that takes messy research tasks and makes them feel effortless, backed by infrastructure that scales.
Case Study #2 - Superfeel RAG Infrastructure
We designed and developed Superfeel, an AI-powered social media platform. The technical challenge was making user-generated content, posts, videos, transcripts, instantly searchable and contextually relevant.
We built a scalable RAG system on AWS infrastructure with vector databases that enable semantic search across the entire content library.
Our data pipelines process video and text content, breaking them down into precise, retrievable chunks that power personalised recommendations and intelligent content discovery. The result: a social platform where AI actually understands what users are looking for.
Get in touch
I'm always interested in exploring new opportunities, collaborating, or exchanging ideas with like-minded individuals. Feel free to book a call or email me if you'd like to see my portfolio deck or to discuss a potential project.