The shift
Models are becoming first-class, lifecycle-managed assets across mixed-criticality compute. Intelligence is moving from one feature to the architecture itself.
Intelligent Mobility
MOVENTIX
Deploy | Interoperate | Evolve
Mobility redefined with a software-first approach: adaptive intelligence that evolves with vehicles, infrastructure and operational needs, with real-time execution and full interoperability across ecosystems.
1 build
Portable across hardware and OS
V2V | V2X
On edge cloud, off the central cloud
Real-time
Execution without the round-trip
OEM-ready
New revenue from software-defined mobility
The market
Agentic AI is now defining vehicle architecture.
The maturity bar
Frequent model updates, behavior testing with rollback, learning from driving data, and AI integrated across systems rather than bolted on as a single feature.
The opening
Most OEMs sit below that bar today. Programs are being funded to close the gap one experience at a time.
Core tenets
One engine, six guarantees.
Decoupled from the platform
Agents are decoupled from the underlying heterogeneous platforms. One 10 to 20 MB engine across NVIDIA, AMD, Qualcomm, and NXP silicon and Linux, Android, Windows, and iOS. Portability without recoding when silicon changes.
Multi-cloud, multi-LLM
No lock-in to one cloud or one model provider. Agents use local SLMs on-vehicle and reach any cloud or LLM only when policy allows it and the task warrants it.
Offline-first by design
Agents keep working through tunnels, parking structures, and dead zones, then sync when connectivity returns. No round-trip required.
Sovereignty in execution
Per-agent policy governs where each inference runs and where data may travel, supporting privacy regulation and regional residency rules.
Peer choreography
Agents discover and coordinate as peers at sub-100 ms latency, vehicle to vehicle and system to system, not through a central cloud orchestrator.
Fleet-grade and secure
Zero-Trust by default, signed updates, and mesh discovery let models roll out across thousands of vehicles with per-node rollback.
Why MOVENTIX
AI‑defined vehicles, without re‑architecting.
Powered by mimOE, MOVENTIX decouples experiences from hardware and OS, with adaptive choreography designed for mobility.
Deploy anywhere
One software stack across vehicles, infrastructure, and back-office systems, with no per-platform rebuilds.
Interoperate
Full interoperability across ecosystems, with adaptive choreography between in-vehicle compute and the edge.
Evolve and monetize
Greater autonomy and control while unlocking new revenue through software-driven mobility.
Showcase
The Agentix‑Native vehicle, simplified.
Showcasing MOVENTIX (mimik SDV) using the NXP GoldBox at the COVESA event.
Architecture fit
Designed to fit the vehicle you already build.
MOVENTIX runs alongside AUTOSAR, middleware, and HPC application layers. It advises and operationalizes outside the real-time safety path, never on it. Per-vehicle intelligence plus fleet-level learning under operator policy, and experiences that continue operating through degraded connectivity.
With and without
Cloud‑First vs. MOVENTIX.
Cloud-first AI todayWith MOVENTIX
ExecutionEvery feature makes its own round-trip to cloud LLMs; discovery and registration live in the cloud.mimOE runs the AI chain, model, and engine on-vehicle; the cloud is optional.
CoordinationSystems on the same vehicle cannot easily discover or collaborate; intelligence is fragmented.Agents discover each other and coordinate as peers via adaptive choreography, on the vehicle.
CostLatency, bandwidth, and token and GPU cost scale with every inference and every vehicle.Local execution cuts cloud cost, energy, and bandwidth by up to 95 percent with minimal latency.
DataData leaves the vehicle to be processed: a residency, privacy, and sovereignty exposure.Data stays where it is generated; policy governs exactly what may sync to the cloud.
ConnectivityDead zones and tunnels break the feature and degrade the experience.Offline-first: agents keep running through outages and reconcile on reconnect.
Cost figures based on modeled agentic workloads, with mimOE.
Program economics
The second use case is where the economics change.
The first experience funds the integration
The second and third reuse the same engine: discovery, choreography, security, and observability are already in place.
Each addition is agent-level
Every additional experience is an agent-level addition, without re-architecting per feature and without a new vendor stack per feature.
Velocity with Cost Certainty
Faster rollout of each new experience on one engine, with Cost Certainty across the program.
Across the mobility value chain
Who it's for.
Automakers
Ship software-defined experiences that evolve after the vehicle leaves the lot.
Fleet operators
Coordinate vehicles and infrastructure with low latency and offline resilience.
Mobility providers
Deliver adaptive services across mixed hardware without vendor lock-in.
Tier-1 and silicon
Make your platform the default for in-vehicle intelligence.
In the field
What teams are building with MOVENTIX.
Start with one experience you can ship this year. Add the next without re-architecting each time.
- Cabin experience orchestration
- The cabin adapts as one system. Every seat becomes an independent zone; climate, seating, lighting, and audio coordinate through agents that respond to who is in the vehicle and what they are doing, in real time, on the vehicle itself.
- Conversational vehicle
- A natural-language interface to the vehicle's own capabilities. The driver asks why the range is lower today; agents discover the relevant systems, ground the answer in live vehicle state, and act, with responses generated on-vehicle.
- Virtual keys
- An owner creates a vehicle key on their phone with function-level access, shares it with a valet or friend via link, and the key activates at the vehicle through direct device discovery. Access rights never leave the device envelope; no cloud dependency.
- Autonomous long-haul trucking
- An on-vehicle Agentix runtime runs logistics-coordination and V2X agents locally alongside the autonomous driver, without touching the safety-certified stack. Sub-100 ms coordination in highway dead zones.
- Fleet compliance
- Fleet-management, ELD-compliance, and inspection agents keep running on the vehicle through cellular dead zones and sync on reconnect, closing compliance gaps for the carrier.
- Depot maintenance
- Predictive-maintenance agents for engine, brake, and battery run on depot gateway hardware where WAN connectivity is intermittent. Real-time asset health independent of WAN quality.
- Regulated fleets
- Driver-safety and coaching agents execute on-vehicle under sovereignty policies that keep driver data local, opening municipal, school, and government segments where cloud transmission is a procurement blocker.
- Plant and supply chain
- Robot and fixed-automation agents coordinate peer-to-peer on the factory floor; supply-chain agents survive WAN outages. One governance policy across vehicle, plant, and supply chain.
Built on mimOE
One engine, from ECU to cloud
MOVENTIX runs on mimOE, the same Agentix-Native engine behind every mimik solution. Any chip, any OS, online or off.