Boston 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 Massachusetts.
AI translation designed around the way a Boston team actually runs.
Our goal is to give Boston businesses a three-day weekend, so people can spend more time with their families and the people they love :)
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
Without Kiwi Dynamics
With Kiwi Dynamics
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI translation runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for Boston businesses first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI translation compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
Our field notes from Boston builds.
- Boston runs on biotech, higher education and finance, with more PhDs per capita than almost anywhere in the country - AI here has to earn trust from a genuinely technical audience.
- A world-leading biotech and pharma cluster, a huge concentration of universities and hospitals, and a mature financial services industry. Boston businesses expect AI claims to be backed by something more rigorous than a demo.
We work with teams across Boston: Back Bay · Cambridge · Seaport · Somerville · South End · Kendall Square.
Talk to us about this →
How we build AI translation for a Boston team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Boston business, so value lands before the build is finished. AI multilingual + te reo.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing Boston businesses the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for Boston teams
We'd call the engagement a success when Boston 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
Is AI translation worth it for a smaller Boston?
Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
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 tools do you build AI translation on?
For AI translation we usually reach for Claude, DeepL, ElevenLabs, Vercel. We're tool-agnostic at heart - we pick what your Boston team can actually run after we hand the build over, not what looks good on a vendor sticker.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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.