Massachusetts · Applied AI
AI personalisation in Boston
AI personalisation that lives in your stack, not on a vendor's roadmap. Shipped from Massachusetts.
What AI personalisation actually does
Every customer sees the right product, message, and offer – based on what they've bought, browsed, and asked. Built on first-party data, no creepy tracking required.
Boston businesses don't need another generic AI pitch. AI personalisation 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.
- 01 Per-customer recommendations across web and email
- 02 Dynamic landing pages tailored to traffic source
- 03 Lifecycle messaging triggered by real behaviour
- 04 GDPR + NZ Privacy Act compliant by default
Built on: Claude Vercel Edge Postgres Klaviyo
Why Boston businesses choose this
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.
What we keep seeing in Boston.
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.
How we build AI personalisation 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. Every engagement starts with a short call and a paid discovery if the brief needs one.
AI personalised CX.
The outcome for Boston teams
If we build the right slice first, Boston teams feel the difference inside the first month. Conversion lift of 18-32% over generic site experiences.
Conversion lift of 18-32% over generic site experiences.
AI personalisation in Boston – common questions
How fast could we have AI personalisation in production?
Eight to ten weeks for most Boston 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 Boston 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.
Do you have proof this works for Boston businesses?
Direct case study: Conversion lift of 18-32% over generic site experiences. Happy to walk you through full numbers on a call.
What if our Boston 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 personalisation specifically, we typically run that work on Claude, Vercel Edge, Postgres, Klaviyo and assume messy starting conditions from day one.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
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.