Yaan is a hands-on engineering partner. We find the AI opportunities worth pursuing, then design, build and operate the production systems behind them.
A customer reaches the business naturally, without learning a new interface.
Useful AI products depend on far more than a model call. They need good product decisions, dependable software, clean data, thoughtful integrations and an operating loop that reveals what is actually working.
That complete system is our scope.
Customer-facing software, internal tools, voicebots and agent experiences.
Model orchestration, retrieval, evaluation, guardrails and human review.
Data platforms, APIs, integrations, cloud infrastructure and delivery pipelines.
Four different products. Four different operating environments. One shared standard: AI connected to the real workflow around it.
Custom voice agents for Australian service businesses—handling real calls, capturing intent and creating a dependable path to follow-up.
Visit productHosted, always-on agent infrastructure designed around reliable execution—not a chat window that disappears when the session ends.
Visit productProactive agents operating within Microsoft Teams and Microsoft 365, connecting context to action without another destination app.
Visit productAn AI-powered workflow system that brings rules, data and business actions together in a time-sensitive operational product.
Visit productYou do not need a perfectly formed AI brief. Bring us the slow workflow, the missed calls, the disconnected data, or the product idea that still feels technically uncertain.
Understand the business problem, users, risks and value. Decide what is worth building.
Prototype the hard part. Test model behaviour, data access and workflow fit early.
Build the application, agents, APIs, infrastructure and controls as a coherent product.
Launch, observe, evaluate and improve against real usage—not a slide-deck promise.
We work well with founders moving from idea to first product, teams adding AI to an existing business, and organisations that need an experienced delivery partner across disciplines.
A useful first conversation is about the workflow, constraint or opportunity—not a pre-selected model or stack.