Evidence before upgrades

Suspension setup, guided by your actual ride data.

SuspensionIQ turns telemetry into clear, testable setup guidance — so you know what your bike is doing, why it feels that way, and what to try next.

Setup first. One focused change at a time. Verify it on the next ride.

Ride analysis RUN-042
Front travel used87%
Rear travel used92%
Recovery trendStable
Bottom-out events1
Fork / shock movementrepeatable terrain

NEXT TEST

Improve mid-stroke support without chasing harshness.

Try one controlled change, repeat similar terrain, then verify whether travel distribution and rider feedback agree.

SuspensionIQ combines real ride data, suspension setup principles, and enterprise-grade software discipline to make tuning easier to understand. Instead of treating suspension setup like a black box, the platform gives riders explainable, testable recommendations that can be verified on the next ride.

The SuspensionIQ loop

Measure, explain, recommend, ride again, verify.

01

Capture ride data

Use telemetry from real riding instead of guessing from static setup charts.

02

Translate behavior

Turn suspension movement into rider-language findings about support, recovery, balance, and control.

03

Test one change

Make one meaningful adjustment at a time and understand the tradeoff to watch for.

04

Verify the result

Repeat comparable terrain and confirm whether telemetry and feel both moved in the right direction.

What it measures

Data points that connect to what riders actually feel.

SuspensionIQ is designed to separate raw data, interpretation, recommended action, expected tradeoff, and verification.

Travel usage

How much fork and shock travel you use, where it happens, and whether it matches the terrain and goal.

Dynamic sag

How the bike rides in motion, not just where it sits in the garage.

Compression events

Repeated hits, high-load moments, and patterns that can feel like harshness, dive, or lack of support.

Rebound recovery

Whether the suspension returns in time for the next impact or starts packing down.

Bottom-out behavior

How often bottom-out occurs, how severe it is, and whether it needs setup or spring-curve attention.

Front/rear balance

Whether the bike is working as a system, not just as separate fork and shock settings.

Recommendation philosophy

We do not chase settings. We test one meaningful change at a time.

The goal is not to make riders suspension engineers. The goal is to explain what the bike is doing, why it probably feels that way, and what to try next.

What we saw

Telemetry pattern and terrain context.

What it may feel like

Plain-language rider interpretation.

What to change

One focused setup step, not a random list.

Tradeoff to watch

What could improve and what might get worse.

How to verify

The next ride confirms whether the change worked.

Product fit / dyno-backed guidance

Setup comes first. Product changes require evidence.

SuspensionIQ does not recommend upgrades because they are newer, more expensive, or more heavily marketed. Service, tuning, or product changes should enter the conversation only when ride data, setup history, rider feedback, and product capability show the current suspension is no longer the best match for the rider’s goals.

Setup

Can a sensible setting change address the pattern?

Service

Could friction, lubrication, wear, or damper health be the real issue?

Custom tuning

Would a targeted tune fit better than replacing parts?

Product fit

Only when evidence shows a different product category is justified.

Credibility

Built around evidence, restraint, and verification.

SuspensionIQ is designed to make suspension setup easier to trust without asking riders to decode engineering charts or buy parts before the data supports it.

Data first

Recommendations start with what the fork and shock actually did on the trail.

Explainable

Each suggestion connects the pattern, the likely feel, the setup change, and the tradeoff.

Conservative

The system favors one meaningful setup test at a time before escalating to service, tuning, or product-fit questions.

Verified

The next ride is part of the recommendation loop, so changes can be checked against both telemetry and rider feedback.

Proof and validation

Not built around guesswork.

Real ride dataRecommendations are based on uploaded telemetry and actual suspension behavior.
Explainable guidanceRiders see why a recommendation is being made, not just what knob to turn.
Domain-grounded logicShaped around established suspension behavior, setup tradeoffs, and real-world validation.
Implementation disciplineBuilt with testing, verification, deployment, and traceability standards.
Always improvingMore data, use cases, and equipment formats improve setup tradeoff guidance.

Coming soon

Pricing and ordering details are being finalized.

For now, this launch site will use early-access and contact CTAs only. No checkout, SKU, shipping, or final hardware claims are included until those details are ready.