Most gyms we talk to aren't short of dashboards or tools – they're short of an hour back in the week. That's the lens we put on semantic search (RAG): not a tech showcase, but a careful look at the one or two workflows where a gym is paying for the same problem to be solved twice.
Gyms · Applied AI
For gyms who want results in weeks, not a year-long transformation programme.
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
Without Kiwi Dynamics
With Kiwi Dynamics
From the trenches
The shape of every gym brief we've seen.
- Gyms and studios live or die on membership retention, and most churn happens quietly, weeks before someone cancels.
- Lead follow-up, trial conversion, and renewal reminders are the levers that decide a gym's membership numbers.
How we build semantic search (RAG) for gyms.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a gym business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for gyms
Average search time drops from 6 minutes to 12 seconds. For gyms, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
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.
Questions
FAQ
What's the realistic timeline for semantic search (RAG) with a gym?
Most gyms have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational – your team gets to use the thing well before the engagement is "done".
What does semantic search (RAG) cost for a gym?
Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.
Has this actually shipped for a real gym?
Yes. Average search time drops from 6 minutes to 12 seconds. We'll share comparable engagements on the call.
What happens if we want to swap a vendor out later?
Semantic search (RAG) is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Pinecone, Claude, Postgres pgvector, Vercel AI SDK are our defaults, but the build is intentionally portable.
One reply, one direction.
We don't run sequences or follow-up automation. One useful answer, one decision on your side.
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.