Large language model and agent architecture applied to products people use, not slide decks. Conversational agents that step up into 3D and augmented reality, AI-assisted engineering pipelines, and phased cost analysis so spend arrives only when measured load demands it.
Agent and multi-agent workflows, Model Context Protocol servers and the messaging that connects them.
A speech-to-text chat agent that becomes a 3D avatar and then an AR experience in the browser, with nothing to install.
AI-assisted conversion of CAD and 3D assets, and agentic tooling used daily in delivery.
Performance budgets and cost triggers, so each stage of an AI service is paid for only when the measurements justify it.
Demonstration: AI Vision Training Platform →Told by organisation type and date. Client and product names are withheld. Business partners are named.
A speech-to-text chat agent that escalates to a 3D avatar and then to AR, delivered as a standalone web app and as a widget operators drop into their existing sites.
React, TypeScript, WebXREmail a few lines about what you are trying to do. We will reply with what we would look at first.