Strategy, design and engineering for Super Intelligence products people trust, from the first use case to agents running in production.
Sand→Silicon→Super Intelligence
Quartz is refined into silicon, silicon is etched into chips, and chips now reason, write and decide. We design what that intelligence does for people: useful, honest and private by default.
Drag to rake the sand
Fourteen years of product craft, now applied to the most important interface shift since mobile.
Find where Super Intelligence creates real value in your product and operations, and where it doesn't. Opportunity mapping, build-vs-buy, data readiness, risk and a roadmap your team can execute.
Copilots, concierges and agents people actually trust. Conversation design, UI for streaming and tool use, guardrails and graceful human hand-off.
Production integrations with frontier models such as Claude, retrieval over your content (RAG), tool use, structured outputs, streaming and caching.
Agents that do real work behind the scenes: research, support triage, content operations, reporting and back-office workflows.
Evaluation suites that prove quality before launch, red-teaming, privacy reviews and latency/cost optimisation once you scale.
Be found and cited by SI search and assistants. Content systems, structured data and personalisation designed for the answer-engine era.
Technology can be a force for good if used correctly. These aren't slogans, they're acceptance criteria.
If a button would do, we build the button. Super Intelligence goes where it removes real work.
Clearly labelled, grounded in your sources, and upfront when it doesn't know.
Minimal data, clear retention, no training on your customers without consent.
People stay in control of anything consequential, approvals, sends, spends.
Evals before launch, monitoring after. Quality is a number, not a feeling.
Two-week sprint to find the highest-value, lowest-risk use cases and define what “good” means.
A working prototype on your real content in days, tested with real users, not a slide.
Evaluation sets, red-teaming and cost modelling so launch decisions rest on evidence.
Production engineering, monitoring and iteration, with your team trained to own it.
It answers from our knowledge base, links to real work and knows when to hand you to a human. The same patterns power the assistants we build for clients.