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Two-wheelers.
Deep enough to stand alone.

Two-wheelers sit inside Crossware's automotive portfolio, but the work here runs deep enough to warrant its own page. Cluster development for multiple Tier 1 suppliers, across racing, cruiser and scooter platforms — from tightly constrained MCU clusters engineered to the lowest viable BOM, up to MPU-class clusters with large displays and phone projection.

MultipleTier 1 suppliers supported on two-wheeler clusters
3Silicon families in production two-wheeler work
MCU → MPUEntry clusters through to large-display flagships
BOM-firstOptimised against the cost the segment can carry
Track record

Built for the suppliers who build for the OEMs.

Crossware has supported multiple Tier 1 suppliers in developing two-wheeler cluster solutions — not as a one-off engagement, but repeatedly, across programmes and across silicon. That repetition is the point: the second cluster on a platform is faster than the first, and by now Crossware has been round this loop enough times to know where the cost sits before a programme starts.

Vehicle classes

From scooter to superbike.

The same engineering team, three quite different briefs. What changes is not the discipline — it is the budget, the rider and what the cluster is expected to say.

01

Racing

Performance and track-oriented machines, where the cluster carries ride modes, telemetry and the visual language of a race bike.

02

Cruiser

Touring and cruiser platforms, where legibility over long distances and navigation matter more than lap times.

03

Scooter

High-volume commuter machines, where the cluster has to feel considered while costing almost nothing to build.

Delivered across those classes

Rich HMI

Cluster interfaces that carry real visual ambition rather than the minimum the hardware will allow.

Multi-language

Multi-language support built in from the start, for platforms that ship across markets and scripts.

Cinematic startup animation

Startup sequences and animation with a cinematic quality — the first thing a rider sees, and often the hardest thing to fit in flash.

Map integration

Navigation and map rendering integrated into the cluster, on hardware that was never designed with maps in mind.

Cost engineering

A segment that counts every rupee of BOM.

Two-wheelers are the most price-sensitive vehicle segment there is. A feature that costs a few cents of extra memory does not simply get approved because it looks good in a demo — at volume it either fits the bill of materials or it does not ship.

Crossware works closely with customers to optimise software against the lowest possible BOM cost: fitting the graphics stack, the assets and the animation inside the flash and the memory that the programme can actually afford, rather than specifying up to hardware the vehicle was never going to carry.

Where the cost gets found

Flash footprint — asset formats, compression and what gets stored versus generated
Memory budget — buffers, layers and the working set the part can hold
Rendering approach — using the silicon's own graphics features instead of a bigger part
Part selection — specifying to the programme rather than to the wish list
Top of the range

And when the flagship gets a bigger screen.

At the premium end of the segment, Crossware has developed two-wheeler clusters on MPUs — larger displays, richer feature sets, and phone projection through Android Auto and CarPlay integration. It is a different class of problem from a flash-constrained MCU cluster, and it is handled by the same team, which is what stops a manufacturer's entry and flagship programmes drifting into two unrelated codebases.

See the wider automotive portfolio

What's next

Bringing vehicle AI onto the cluster.

Upcoming partnership

Crossware & EngineCAL

Crossware will be partnering with EngineCAL, a leading engine and driving-behaviour AI solutions provider, to integrate EngineCAL's AI engine into the Crossware HMI software stack.

The intent is to bring engine health and driving-behaviour intelligence to the surface the rider actually looks at — turning the cluster from a display of instantaneous values into something that can say something useful about how the machine is being ridden and how it is holding up.

Start with the constraint

Tell us the part and the budget.

Scooter, cruiser or race replica — the interesting conversation starts with what the cluster has to do and what the programme can afford to spend doing it.

Talk to our engineers