Every chemists team we've worked with has a different definition of "broken". AI only earns its keep when it solves the specific definition you'd give it on a bad day – which is why our first call is mostly listening.
AI by role · New Zealand & Australia
AI that gives chemists their time back, not another dashboard.
By the numbers
0.16% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026). For context, Australia's overall AI usage sits at 4.11× its expected level and Canada at 4.37× (with Singapore leading at 5.53×) — adoption is already well ahead of the curve, so the edge goes to whoever turns it into a concrete workflow first.
Chemists sits within Science & Research, one of the sectors we build production AI for.
Where AI helps
What changes for chemists week to week.
- Summarise literature with citations.
- Clean and explore datasets.
- Draft methods and reports.
- Answer questions over your documents.
How we build AI for chemists.
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. The durable wins augment a person rather than replace them — a human approves anything that matters.
Talk to usThe outcome for Chemists
If we build the right slice first, Chemists feel the difference inside the first month. 0.16% of all Claude.ai conversations map to this kind of work (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 chemists 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 Chemists are surprised how small the first cheque is.
Do you have proof this works for Chemists?
Direct case study: 0.16% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) Happy to walk you through full numbers on a call.
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.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
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.