Hardware and software ship as one
Sensors, firmware, the mobile app, and the cloud all move together. A lag in any one of them is felt mid-workout — so they're designed as a single product, not four projects.
Industry · Connected Fitness
Connected fitness, built to
Connected fitness, built to
keep members coming back.
Connected fitness lives or dies on real-time feel and long-term habit. We build the apps, real-time metrics, live experiences, and AI-driven coaching that turn a device in the living room into a daily ritual — by the team behind Hydrow.
By the team behind Hydrow · $200M raised.
—— What's different about connected fitness
The hard part isn't the workout. It's everything around it.
Connected fitness is a hardware, software, content, and community product at once — and every one of them is felt in the moment. Here's the terrain.
Real-time is non-negotiable
Sub-second metrics, low-latency live classes, and streaming that holds up on living-room Wi-Fi. "Eventually consistent" doesn't work when someone's mid-stroke.
Engagement is the business model
Retention is the revenue. The product has to build a habit — streaks, programming, community, and coaching that adapt to each member, not a static class library.
It only works if it feels effortless
Members won't fight the UI in workout clothes. Onboarding, pairing, and the first session have to feel instant — or the device goes back in the box.
—— Common challenges we see
The friction connected-fitness teams bring us
Pulled from real conversations with founders, product leads, and growth teams building hardware-plus-app fitness products.
Device data and app data never meet
Telemetry from the hardware, events from the app, content metadata, and your CRM all live apart. Nobody has one view of what a member actually does.
Everyone gets the same plan
Your programming is one-size-fits-all because adapting it by hand doesn't scale. Members plateau, get bored, and drift away.
Churn shows up too late
You see the cancellation, not the three weeks of declining sessions that predicted it. By the time the dashboard turns red, they're already gone.
Content and live production bottleneck
Every new class, challenge, or season is a manual lift. Growth is capped by how fast your studio and ops team can produce.
—— Services we deploy in connected fitness
Where we typically start.
Each engagement is shaped by your product, your data, and your hardware. These are the most common entry points for connected-fitness clients.
AI Audit
Map the highest-value AI opportunities across coaching, retention, content, and ops — with your hardware and data realities priced in.
Explore the audit →Intelligent Automation
Automate content tagging, member messaging, support triage, and the ops work that scales slower than your subscriber base.
See automation →AI Agentic Systems
Coaching, retention, and support agents that watch member behavior, plan, and act — with auditable handoffs to humans.
See agents →AI-Native Development
For fitness builders shipping a real product — apps, real-time metrics, live streaming, and deep hardware integration.
See product build →AI Prototype Sprint
Three weeks to a working prototype real members can react to — validate the experience before you commit the roadmap.
See the sprint →—— The track most fitness clients take
From audit to live experience in a single arc.
Most fitness engagements start with diagnosis, then validate fast, then ship the experience and keep optimizing it.
1
2–4 weeks
AI Audit
Map where AI moves a metric — coaching, retention, content, or ops — with your data and hardware realities priced in.
2
3 weeks
Prototype Sprint
A working prototype real members can try — validate the experience before you commit the roadmap.
3
6–16 weeks
Build & Integrate
Ship the app, real-time metrics, live experience, or coaching system into production — wired to your hardware and data.
4
Ongoing
Growth Engine
Drive activation, retention, and LTV with experiments that compound month over month.
—— Proof in production
The connected-fitness product behind a $200M raise.
We built and scaled Hydrow — the live outdoor rower — from concept to a category-defining connected-fitness experience.
—— Selected work
Work we've shipped and scaled.
Connected fitness products and the data that powers them.
—— Why teams build with us
Built for real-time, real-hardware products.
Connected fitness is unforgiving — and it's exactly the kind of product we've shipped before.
Real-time data, done right
Streaming pipelines, sub-second metrics, and live experiences engineered to hold up on real home networks — not just in the demo.
Hardware and software, integrated
BLE/sensor integration, firmware-to-cloud data flow, and device pairing that feels instant. We've shipped products where the app and device are inseparable.
Built to scale and observe
Observability, runbooks, and infrastructure that handle a launch-day spike and a year of growth — with the dashboards to prove what's working.
—— Common questions
What fitness teams ask first.
Hardware, real-time and streaming, personalization, retention, and who owns the IP.
Do you build the hardware too?
We're a software and AI studio. We integrate deeply with your hardware — BLE/sensors, firmware data, device pairing — and partner with your hardware team or vendor. On Hydrow, the app and the machine were inseparable.
Can you handle real-time metrics and live streaming?
Yes — it's core to connected fitness. Sub-second metrics, low-latency live classes, and streaming engineered for real home networks. We design the data and streaming architecture from day one, not as an afterthought.
How do you approach personalization and coaching?
We start from your data — sessions, biometrics, behavior — and build adaptive programming and coaching that respond to each member, with guardrails and human oversight where it matters.
Can you help with retention and churn?
Retention is the business model. We build the data layer and models that surface at-risk members early, plus the agents and experiments that act on it before they cancel.
Do we need an AI Audit first?
If you already know the use case, you can start with a prototype or build. If you're exploring where AI moves a metric across coaching, retention, content, or ops, the audit is the right first step.
Who owns the IP and the data?
You do. All code, models, prompts, and trained artifacts are yours under standard work-for-hire terms. Your repos, your cloud, your data — no lock-in.
—— Field notes
What we’re writing about.
Field notes from the studio — what we’re learning about AI products, agent UX, and the messy reality of shipping software in 2026.
