Lumen AI partners with leaders to turn frontier technology into products, pitches, and lasting capability, with scientific rigour, commercial strategy, and responsibility at the core.
The organisations that win with AI are the ones that align technical capability with a clear sense of purpose. Lumen AI is built on that principle. I don't just help you optimise systems; I help you sharpen the thinking behind them.
That means joining up three things most teams keep separate: rigorous AI science, hard-headed commercial strategy, and human-centred responsibility. The result is work that is technically sound, commercially compelling, and genuinely trustworthy, so every build and every pitch actually holds up.
Unlike most consultancies that hand over a strategy and leave, I stay joined up across the whole arc, strategy, narrative, and orchestration, so the science, the story, and the delivery stay aligned. Open any one below to see the detail.
Most organisations have already run AI pilots. Few have a clear path from pilot to production value. I help you see where AI genuinely moves the needle, prioritise the highest-return opportunities, and build a roadmap your teams can actually execute, with the evaluation and governance standards that keep it safe as it scales.
Deep-tech and physics-based AI ventures often have extraordinary science and no clear commercial story. I translate dense research into sharp market positioning, investor-ready decks, and credible business cases, the bridge between the lab and the boardroom. Having raised capital as a founder and built the investor narrative for a physics-based AI venture, I know what convinces technical reviewers and investors alike.
AI that touches people (customers, citizens, vulnerable communities) has to be safe, fair, and explainable. With foundations in cognitive science and a track record of designing AI for regulated and high-stakes settings, I help you embed responsible-AI practice: evaluation, bias and safety testing, and human-centred design that stands up to scrutiny and audit.
Many organisations have strong data or science but no one to turn it into a delivered capability. As a fractional AI lead and orchestrator I provide senior direction on demand, and run the work end to end: deciding which AI bet is worth making, setting strategy and standards, scoping and briefing the work, sourcing and managing the right academic and specialist build partners, and keeping delivery on mission, on budget, and aligned to your commercial milestones.
Deep-tech and physics-AI founders turning frontier science into fundable, market-ready propositions, with the investor story to match.
Banks, insurers, and public-sector teams moving from AI experiments to dependable, scaled, and responsible capability.
Schools, universities, EdTech, and purpose-driven ventures applying AI responsibly, built on years of NLP learning products used by thousands of children.
An AI leader with more than 20 years across enterprise delivery, founder-led products, and applied research. She has led Datacom's AI Solutions practice in Auckland (delivering AI for major NZ banks, insurers, and government agencies), and founded an edtech company that shipped NLP-powered apps used by thousands of children. Earlier, she was Principal Scientist at Callaghan Innovation (NZ) and A*STAR (Singapore), with a PhD in AI from the University of Sheffield, UK.
What sets her apart is range: the technical depth to judge the science, the commercial instinct to turn it into value, and the human-centred lens to do it responsibly.
Work with Swati →
Whether you're commercialising frontier AI, scaling enterprise capability, or building something responsible and new, I'd love to hear what you're working on.