HVAC companies · Applied AI

Built for the HVAC company who's already tried the off-the-shelf option and bounced off it.

Every HVAC company business we've worked with has a different definition of "broken". Semantic search (RAG) only earns its keep when it solves the specific definition you'd give it on a bad day – which is why our first call is mostly listening.

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 gets in the way

The friction HVAC companies hit that other industries don't.

  • Heating and cooling businesses run on seasonal call volume that spikes exactly when the team is already stretched.
  • Scheduling, callout triage, and maintenance reminders are what separate a booked-out HVAC business from a quiet one.
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How we build semantic search (RAG) for HVAC companies.

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

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The outcome for HVAC companies

We'd call the engagement a success when HVAC companies are using the system without thinking about us. 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.

Questions

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".

What's the smallest engagement you'd take on?

A two-week paid discovery for HVAC companies 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 HVAC companies?

Direct case study: Average search time drops from 6 minutes to 12 seconds. Happy to walk you through full numbers on a call.

What tools do you build semantic search (RAG) on?

For semantic search (RAG) we usually reach for Pinecone, Claude, Postgres pgvector, Vercel AI SDK. We're tool-agnostic at heart – we pick what your HVAC company team can actually run after we hand the build over, not what looks good on a vendor sticker.

One short call.

Tell us what you're trying to fix. We'll come back inside a working day.

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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.