AI translation that lives in your stack, not on a vendor's roadmap. Shipped from Pennsylvania.

Our goal is to give Philadelphia businesses a three-day weekend, so people can spend more time with their families and the people they love :)

Philadelphia businesses don't need another generic AI pitch. AI translation only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Pennsylvania.

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.

  • 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

What you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How AI translation compares

The two things most businesses do instead, and where each one runs out.

 Hiring for itAn off-the-shelf toolKiwi Dynamics
Fit to how you workFits perfectly, costs a salaryYou bend your process to suit the toolBuilt around the workflow you already run
Time to something usefulImmediate, and permanentQuick to switch on, slow to make fitA working slice in weeks, then hardened
Who owns the dataYou doThe vendor, on the vendor's termsYou do, in your own accounts
When it breaksThat person sorts it, if they are inA support queue and a ticket numberThe people who built it
What it costsA salary, every year, foreverPer seat, forever, used or notScoped and quoted up front

What we keep seeing in Philadelphia.

  • Philadelphia runs on healthcare, education and a manufacturing base that never fully left - AI here means modernising operations built up over decades, not starting from a blank slate.
  • One of the largest hospital and university networks on the East Coast, alongside a manufacturing and logistics base with real history. Philadelphia businesses want AI that fits into how things already run, not a rip-and-replace.

We work with teams across Philadelphia: Center City · University City · Fishtown · Manayunk · Old City · South Philly.

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How we build AI translation for a Philadelphia team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Philadelphia business, so value lands before the build is finished. AI multilingual + te reo.

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How the work runs

The outcome for Philadelphia teams

We'd call the engagement a success when Philadelphia teams are using the system without thinking about us. Expanded customer reach by 22% with multilingual support live.

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

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

Try the calculator

*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

FAQ

What's the realistic timeline for AI translation with a Philadelphia?

Most Philadelphia businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational - your team gets to use the thing well before the engagement is "done".

What does AI translation cost for a Philadelphia?

Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.

Anyone else in this space using AI translation?

Plenty. Expanded customer reach by 22% with multilingual support live. The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.

What happens if we want to swap a vendor out later?

AI translation is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Claude, DeepL, ElevenLabs, Vercel are our defaults, but the build is intentionally portable.

Sketch this with us.

We'll map your real workflow before quoting anything.

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.