Suspend vs Sagly
Two AI-based mountain bike apps. Two very different ideas of how to use AI.
Sagly is the closest tool to Suspend on the market. Both apps use AI to suggest suspension settings, both keep a setup history, and both let you keep refining after the first baseline. The real difference is the interaction model: how you tell the app what went wrong. Sagly describes its engine as a decision-tree machine-learning system, so you answer structured questions. Suspend is a chat, so you describe the ride in your own words.
Sagly combines your rider data, bike, and component choices to suggest baseline settings, then guides further tuning through structured options. Suspend takes the same job as free text: you type "fork is harsh on chatter" or "shock blows through travel on big hits," and it answers with specific click changes and a short explanation of why.
In Suspend you type "fork pings off square hits" and get back "one click less HSC." There is no form to fill in and no list of symptoms to pick from, so you never have to translate what you felt into the app's categories first.
Suspend shows the reasoning behind each suggestion, in the same message: which setting, which direction, how many clicks, and what it should change about the way the bike feels. You learn your suspension while you tune it.
Suspend's free tier gives you one bike with the full tuning conversation and no ads. The AI is not the paid upgrade; more bikes and automatic ride syncing are.
Sagly details above are taken from Sagly's own public materials (sagly.at and its App Store listing) as of September 2026. Products change; if anything here is out of date, tell us at support@suspendmtb.com and we will correct it.