California · Applied AI
AI personalisation in San Jose
Built and supported here – the way a San Jose business would actually use it.
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.
We've worked with enough operators in San Jose to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI personalisation project is sit with your team for a day before we propose anything.
- 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 San Jose businesses choose this
San Jose sits in the middle of Silicon Valley, where the AI bar is set by the companies inventing it – AI here has to be genuinely production-grade, not a wrapper on a public API.
The San Jose context, plainly.
The commercial and cultural centre of Silicon Valley, surrounded by the companies that build the models everyone else uses. San Jose businesses expect AI built with real engineering discipline, because they can tell when it isn't.
We work with teams across San Jose: Downtown San Jose · Santana Row · Willow Glen · North San Jose · Almaden Valley · Berryessa.
How we build AI personalisation for a San Jose team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your San Jose 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 San Jose teams
If we build the right slice first, San Jose 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 San Jose – common questions
What's a typical engagement length for San Jose businesses?
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
Do you do hourly billing or fixed price?
Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
Has this actually shipped for a real San Jose?
Yes. Conversion lift of 18-32% over generic site experiences. We'll share comparable engagements on the call.
Can you work with our existing systems?
Yes. The default AI personalisation stack we reach for is Claude, Vercel Edge, Postgres, Klaviyo, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.
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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.