# Kula

> Kula makes software for boutique fitness studios. Kula Intelligence connects the tools a studio already runs and surfaces the members about to leave and the money quietly leaking; Kula Fitness puts the team on it. Kula Intelligence is delivered as an MCP (Model Context Protocol) server, so Claude, ChatGPT, Gemini and custom agents can query a studio directly.

## Pages
- [Kula Intelligence](https://kula.digital/kula-intelligence): see your whole studio clearly, ask your whole studio anything and get a straight answer from your own numbers.
- [Kula Intelligence MCP](https://kula.digital/kula-intelligence/mcp): the technical page. Kula Intelligence is an MCP (Model Context Protocol) server for fitness and wellness businesses: one endpoint exposing members, bookings, payments, staff, classes and documents as a single canonical, governed, read-only model that Claude, ChatGPT, Gemini and custom agents can query directly.
- [Kula Fitness](https://kula.digital/kula-fitness): put your team on it. Kula Fitness is the studio side, where owners and managers see what's happening, act on it, and manage their Tribe members; the Tribe app is the teachers' side, an app a teacher installs from a link their studio sends, signs into with their own email address, and links to every studio they work at. Includes Kula Intelligence.
- [Pricing](https://kula.digital/pricing): two plans, both inclusive, Kula Intelligence and Kula Fitness.
- [About](https://kula.digital/about): the team and why we build Kula.
- [Support](https://kula.digital/support): how to get help. Chat is the fastest way to reach Kula, from the bubble in the bottom right corner of every page. The page carries three FAQ sets: the Tribe app, the teachers' app for managing their own schedule, covers, messages and compliance across every studio they teach at (the studio sends the download link, teachers sign in with their own email address, then link themselves to each studio using that studio's company-wide invite code, which the manager shares; Whispers, covers, multi-location); Kula Intelligence (connectors, setup time, read-only access, MCP, Skills); and Kula Fitness, the studio side owners and managers run the business from and manage their Tribe members in (adding Tribe members, covers writing back to the booking system, plans and multi-site).

## Kula Intelligence MCP server

Kula Intelligence exposes a boutique fitness or wellness business as a single MCP endpoint: members, bookings, payments, payroll, staff, classes and documents as one canonical, governed model, rather than a set of unrelated per-vendor APIs.

- Endpoint: `https://mcp.kula.digital/mcp` (regional deployments have their own host; the Kula console shows the exact one).
- Auth: a per-org, role-scoped MCP token created in the Kula console under Settings, Integrations, MCP Tokens.
- Clients: Claude, ChatGPT, Gemini, Claude Code, and any other MCP-capable agent or custom client.
- Access is read-only. Every query passes a five-layer policy engine (tenant isolation, role scope, relationship scope, consent scope, purpose limitation) and is immutably logged.
- Why not just point an agent at each vendor API: application APIs are built to serve an application on a schedule, one system at a time, which is a different shape from a live question. Assembling one answer often means chaining several calls that each return a single record, repeated across the whole set. Rate limits are sized for scheduled work and shared across every integration on the account. Where two systems describe the same person there is no shared key or agreed tie-break, because neither was built to be the other one's source of truth. And per-call pricing assumes a predictable call count, which an agent following a thread does not have. Kula Intelligence resolves the joins, the tie-breaks and the call budget once in the substrate, and the ontology documents cover a number of these cases directly.
- Behind the endpoint, live today: a relationship graph, a canonical event stream, and a machine-readable semantic catalogue that defines what each field means. A document store and a CSV ingest plane are not released yet; both are planned behind the same contract.
- Connectors live today: Mindbody, Wix, GymMaster and ClassPass for bookings, Stripe for payments. Glofox, Hapana, Momence, ABC Fitness, Trainerize and Xero are on the connector roadmap.
- Tools built on the endpoint can be embedded inside Kula Fitness, so staff access follows roles that already exist rather than a separate user directory.
- Open-source reference build: Instructor Bonus Builder, a Claude Code build that reads live studio data through this endpoint. https://github.com/kulaforbusiness/instructor-bonus-builder (live demo: https://instructor-bonus-builder.vercel.app)

## Blog
- [You are the glue](https://kula.digital/blog/you-are-the-glue): Studio software splits the business across five or six systems that never share context, and quietly assigns the operator the job of joining them at a desk. The real cost is the floor conversations that never happen: the drifting member nobody catches, the teacher whose question waits for a schedule check. Kula Intelligence builds one model of the business underneath the systems you already run, so one spoken question returns one joined answer wherever you are standing, and the conversation happens while the person is still in the room.
- [The filing cabinet finally does the work](https://kula.digital/blog/the-filing-cabinet-finally-does-the-work): Lassie, an a16z-backed AI company automating dental back offices, built its context layer and tools before models were good so when reasoning models arrived, the product got smarter overnight. That's the substrate thesis proven in another industry: the model is rented, the substrate compounds. Kula Intelligence applies the same architecture to fitness, with one different bet instead of building a closed agent, Kula builds the governed data layer and lets studio owners use the assistant they already have (Claude, ChatGPT, Gemini) through the ask model, and puts the same substrate in teachers' hands through Kula Tribe.
- [Your business doesn't have an AI problem. It has a meaning problem.](https://kula.digital/blog/your-business-doesnt-have-an-ai-problem-it-has-a-meaning-problem): AI struggles with business data not because models are weak, but because data spread across disconnected systems has no agreed meaning. Kula Intelligence fixes this with three moves done once: an ingestor that normalises every source into one canonical stream, a machine-readable ontology map that defines what every entity and event means, and skills that turn the clean model into decisions. Because it ships as an MCP server, the whole team asks the same system and gets answers scoped to what each person is allowed to see: real data, or a plain statement that it can't answer and why.
- [Chasing new clients is one strategy. Going back is the cheaper one.](https://kula.digital/blog/dont-chase-new-clients-go-back): Past clients are the cheapest, warmest growth a fitness consultant owns. AI finally gives you something new to bring them, so run one reactivation campaign across your old client book before the market catches on.
- [Yoga and boutique fitness in 2026: Australia, the UK and the US, and the one thing they all get wrong](https://kula.digital/blog/yoga-boutique-fitness-2026-au-uk-us): Across Australia, the UK and the US, boutique fitness is at three different stages of one story. The winners in every market are converging on the same two problems: retention, which is really a visibility problem, and instruction, which is really a development problem. Neither is marketing.
- [Nobody's watching the gaps in your studio, and that's where the money goes](https://kula.digital/blog/money-slipping-out-of-your-studio): Your booking system and payment processor each do their own job and can't see across each other, so a few students slip through the gap between them. The most common leak is repeat intro passes: a light sampler re-buying your trial past the one-per-customer limit, which cost one Bondi studio around $13,000 of access below cost in a year. Caught on day one it's a no-lose bet, convert them or you have still doubled that student's value. Closing these gaps needs an independent layer that reads across all your systems, not another system with its own blind spots.
- [The audit you never ordered, already ran](https://kula.digital/blog/the-audit-you-never-ordered-already-ran): A data lake brings a studio's records together, but records find nothing on their own. An ontology — the map of what things are and how they relate — turns linked data into findings: fraud hiding in 0.01% of activity (a member re-signing up with a different email address but the same credit card to cycle discounted intro passes), an intro plan capped at five visits when the habit that keeps members forms at six to ten visits in 28 days, and data gaps that silently overstate revenue. Kula Intelligence builds the fitness ontology once and runs it for every studio, and the value compounds with every location.
- [You get paid for leads. You get judged on members.](https://kula.digital/blog/fitness-studio-retention-agencies): Fitness studios hire agencies on cost per lead and fire them over retention. The members leave, the owner blames the agency, and the fix is not more ads. It is giving instructors one piece of information before class: who has not been in for a while.
- [From three years of expensive lessons to day one](https://kula.digital/blog/expensive-lessons-to-day-one): Opening a studio means closing a knowledge gap that used to take three years of expensive lessons. A Gen 2 studio gives a first-time owner that help on day one, and keeps the artist as the artist.
- [Behind the desk, not in the room](https://kula.digital/blog/behind-the-desk-not-in-the-room): AI does not hollow out a studio; drudgery does. A Gen 2 studio runs the back-office watching and hands the human moments to the team. Intelligence behind the desk, humans on the floor.
- [Forty decisions, time for three](https://kula.digital/blog/forty-decisions-time-for-three): Owners make forty decisions a week with time for three. A Gen 2 studio ranks them by what is worth most and what will not wait, so you act on the right three instead of guessing.
- [The team a single studio could never hire](https://kula.digital/blog/team-a-single-studio-could-never-hire): Big chains run on a back-office team watching each slice of the business. A single studio could never afford one. A Gen 2 studio plays all those roles at once for one owner, behind the front desk, for less than one membership.
- [The Gen 2 studio: when every decision finally has help behind it](https://kula.digital/blog/gen-2-studio-help-on-every-decision): Studio software used to just record what happened. A Gen 2 studio reads the whole business, helps you decide what to do next, and hands a single owner the kind of expert help only big chains could afford, on every decision, behind the front desk while the humans stay on the floor.
- [The analyst you can't afford, already hired](https://kula.digital/blog/the-analyst-you-cant-afford-already-hired): There are two ways to let an AI read your studio's data: query each live system one question at a time (the API approach, like drinking through a straw), or bring all your history into one connected place the AI can read at speed (a data lake). Lakes win on speed, on connecting systems that don't talk to each other, and on safety, but they take a team of data engineers to run, which is why they've always been enterprise-only. Kula Intelligence builds and runs the lake for you, so the AI you already use can answer questions about your studio as if it had read every number in the building.
- [The business is the barrier, not the yoga or Pilates](https://kula.digital/blog/the-business-is-the-barrier-not-the-yoga): After four hours with teacher trainees, the pattern was clear: nobody fears the teaching, they fear the business around it — the lease, the pricing, the roster, the cash going out the door. That operating side, not the craft, is why most new studios fail, often taking friends-and-family money with them. What's changing is that a new owner can now start with an operating system watching the numbers that decide survival — the discipline of a 25-year operator, available on day one. It doesn't just help the people who start; it changes who gets to start at all.
- [Someone just resigned. What do I do? We asked the AI — live.](https://kula.digital/blog/gen-2-business-ep-01-teacher-resigned): In a live first look at Kula Intelligence, a boutique studio manager rated her teachers with the timeslot bias stripped out. Mid-session a teacher resigned — and within the hour the studio had a costed, zero-extra-spend replacement, a defensible retention decision, and a ready-to-run marketing campaign. No spreadsheets, just plain-English questions.
- [Becs didn't get a dashboard. She got a leadership team.](https://kula.digital/blog/becs-didnt-get-a-dashboard-she-got-a-leadership-team): A boutique studio manager spent half an hour with Kula Intelligence reading her studio's live data, and effectively had a CFO, an HR lead and a scheduling yield manager working beside her in real time. Together they turned a teacher's resignation into a costed plan that grew a quiet class, kept a valued teacher, and handled covers with care.