Arizona · Applied AI
AI translation in Phoenix
AI translation designed around the way a Phoenix team actually runs.
What AI translation actually does
Reach more of Aotearoa. AI translation for te reo Māori, Samoan, Tongan, Mandarin, Hindi, and more – with cultural nuance, not Google-Translate stiffness.
Phoenix sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers – none of those are details our default AI translation template would catch.
- 01 Te reo Māori with macron support and reviewed terminology
- 02 Voice translation for support calls in real time
- 03 Glossary-locked terms so brand language stays consistent
- 04 Human-reviewer workflow for high-stakes content
Built on: Claude DeepL ElevenLabs Vercel
Why Phoenix businesses choose this
Phoenix is one of the fastest-growing metros in the country, running on construction, semiconductors and a booming population – AI here means scaling a business as fast as the city around it.
Our field notes from Phoenix builds.
A major semiconductor manufacturing build-out, a construction boom keeping pace with population growth, and a services sector racing to keep up with both. Phoenix businesses want AI that scales without a hiring spree.
We work with teams across Phoenix: Downtown Phoenix · Scottsdale · Tempe · Chandler · Mesa · Glendale.
How we build AI translation for a Phoenix team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Phoenix business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
AI multilingual + te reo.
The outcome for Phoenix teams
The shape of the result for Phoenix teams: Expanded customer reach by 22% with multilingual support live. Built on Claude, hardened with the rest of the stack as it scales.
Expanded customer reach by 22% with multilingual support live.
AI translation in Phoenix – common questions
How fast could we have AI translation in production?
Eight to ten weeks for most Phoenix businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for Phoenix businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Can you walk us through a comparable build?
Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Expanded customer reach by 22% with multilingual support live.
What if our Phoenix doesn't have any data ready?
Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI translation specifically, we typically run that work on Claude, DeepL, ElevenLabs, Vercel and assume messy starting conditions from day one.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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.