AI search over your data, built for businesses operating in Anaheim.

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

We've worked with enough operators in Anaheim 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 semantic search (RAG) project is sit with your team for a day before we propose anything.

What semantic search (RAG) actually does

Search that understands intent, not just keywords. Your team types what they mean - and gets the right document, ticket, or product from across every system, with citations.

  • 01 Indexes Drive, SharePoint, Notion, Slack, your CRM
  • 02 Returns answers with source links - no hallucinations
  • 03 Permissioned so staff only see what they should
  • 04 Re-indexes nightly so results stay fresh

Built on: Pinecone Claude Postgres pgvector Vercel AI SDK

What you actually get

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

How semantic search (RAG) 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's different about doing this work in Anaheim.

  • Anaheim and greater Orange County run on tourism, hospitality and a dense manufacturing and tech corridor - AI here means never missing a booking during peak season.
  • A tourism economy built around major theme parks and a convention centre, layered on top of a genuinely large manufacturing and biotech base across Orange County. Anaheim businesses want AI that answers the phone and the booking form the moment demand spikes.

We work with teams across Anaheim: Anaheim Resort District · Platinum Triangle · Irvine · Santa Ana · Fullerton · Orange.

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How we build semantic search (RAG) for an Anaheim team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Anaheim business, so value lands before the build is finished. AI search over your data.

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How the work runs

The outcome for Anaheim teams

If we build the right slice first, Anaheim teams feel the difference inside the first month. Average search time drops from 6 minutes to 12 seconds.

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.

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*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

How long does semantic search (RAG) take to ship for Anaheim businesses?

We aim for a working pilot inside 4-6 weeks - narrow scope, real Anaheim businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.

How do you price semantic search (RAG) engagements?

Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Anaheim businesses are surprised how small the first cheque is.

Anyone else in this space using semantic search (RAG)?

Plenty. Average search time drops from 6 minutes to 12 seconds. 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.

Who owns the code and the model setup?

You do, on delivery. We deploy semantic search (RAG) into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Pinecone sits in your account too - we don't operate it from ours.

Ready to talk specifics?

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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.