Most of our science & research engagements start the same way: a 20-minute call where someone describes a workflow we've heard before in shape but never in detail. What we build is designed against the detail, not the shape.
AI by industry · New Zealand & Australia
Where science & research teams are already ahead of the curve.
Where AI is landing
Adoption is already ahead of the curve — Australia sits at 4.11× expected AI usage (Anthropic Economic Index, March 2026). The teams that win turn that into one concrete, in-production workflow rather than a demo.
Roles in Science & Research: Clinical Psychologists Bioinformatics Scientists Industrial-Organizational Psychologists Historians Social Science Research Assistants Political Scientists Survey Researchers Chemists Anthropologists Economists Agricultural Technicians City and Regional Planning Aides Materials Scientists Sociologists Molecular and Cellular Biologists Biological Technicians Counseling Psychologists Biochemists and Biophysicists Geoscientists, Except Hydrologists and Geographers Soil and Plant Scientists Microbiologists Chemical Technicians Astronomers Remote Sensing Technicians Geneticists Archeologists Atmospheric and Space Scientists Biologists Food Science Technicians Food Scientists and Technologists Hydrologists School Psychologists Epidemiologists Geographers Zoologists and Wildlife Biologists Forest and Conservation Technicians Environmental Scientists and Specialists, Including Health Environmental Economists Medical Scientists, Except Epidemiologists Remote Sensing Scientists and Technologists Physicists Climate Change Analysts Geological Sample Test Technicians Transportation Planners Quality Control Analysts Geophysical Data Technicians Soil and Water Conservationists Animal Scientists Urban and Regional Planners Industrial Ecologists Environmental Science and Protection Technicians, Including Health Neuropsychologists and Clinical Neuropsychologists Precision Agriculture Technicians Nuclear Monitoring Technicians Forensic Science Technicians Park Naturalists Foresters Range Managers
Without Kiwi Dynamics
With Kiwi Dynamics
The science & research reality
What we keep hearing from NZ science & research teams.
- Summarise literature with citations.
- Clean and explore datasets.
- Draft methods and reports.
- Answer questions over your documents.
How we build AI for science & research.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your team, so value lands before the build is finished.
Talk to usThe outcome for Science & Research teams
We'd call the engagement a success when Science & Research teams are using the system without thinking about us. Adoption is already ahead of the curve — Australia sits at 4.11× expected AI usage (Anthropic Economic Index, March 2026).
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions
FAQ
When does AI actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a science & research team – so the savings start landing before the rest of the build is finished.
How do you price AI engagements?
Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Science & Research teams are surprised how small the first cheque is.
What's the realistic outcome for Science & Research teams?
Adoption is already ahead of the curve — Australia sits at 4.11× expected AI usage (Anthropic Economic Index, March 2026). We don't promise tenfold lifts because we don't see them outside of marketing decks.
Will this run on our own infrastructure?
Yes, where it makes sense. AI can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Summarise literature with citations, Clean and explore datasets, Draft methods and reports, Answer questions over your documents but the architecture supports your existing platform choices.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.