mimik Brings In-Vehicle API, AI Inference and MCP Gateway to SOAFEE Blueprint Architecture
Software-defined vehicles are no longer theoretical. They are already on the road; running increasingly complex software stacks that manage safety systems, autonomy features, diagnostics, infotainment and user experiences. However, as vehicles evolve there advanced features depend heavily continuous cloud connectivity. mimik solves fundamental constraint by delivering in-vehicle intelligence that can run locally in the vehicle, while remaining seamlessly connected to a central cloud if needed. Its SOAFee Blueprint Architecture runs intelligent, offline-capable AI agents in-vehicle without restructuring the existing hardware stack.
From Cloud-First to Vehicle-First Intelligence
mimik’s platform underpins software-defined-vehicle (SDV) features such as hyper-personalization, real-time decision making, predictive maintenance, usage-based insurance and context-aware infotainment by processing data at the edge or in the vehicle. mimik’s approach aligns with SOAFEE’s vision by shifting intelligence into the vehicle itself, while maintaining interoperability with cloud services when available. The result is a hybrid execution model where services, APIs, and AI workloads operate locally by default and extend outward only when connectivity allows.
This architectural shift enables vehicles to function as autonomous, resilient computing environments, rather than thin clients tethered to the cloud.
mim OE: The Agentix-Native Runtime Inside the Vehicle
At the core of mimik’s SOAFEE Blueprint implementation is mim OE, mimik’s Agentix-Native execution layer. mim OE gives automakers a continuous cloud-native runtime across vehicle computing devices, letting them develop, deploy and manage workloads like microservices and AI agents directly inside the vehicle. AI-native access to vehicle functions in the SOAFEE blueprint, are exposed as callable tools for AI agents, letting agentic apps compose and adapt vehicle behaviours dynamically at the edge.
Unlike traditional runtimes, mim OE is designed for distributed intelligence:
- Services and AI agents run locally, not remotely
- Nodes discover each other dynamically
- Interactions continue safely even when disconnected
Making SOAFEE Operational—Without Re-Architecture
SOAFEE defines how automotive software should be structured and deployed. mim OE makes that structure operational in real-world vehicles.
With mim OE, SOAFEE-aligned workloads can be introduced in two complementary ways:
- Native microservices implementing new functionality
- Proxy agents that expose existing legacy systems as APIs
This dual model removes the need for a “rip-and-replace” strategy. Legacy investments remain intact while new capabilities are layered on top, allowing OEMs to modernize at their own pace.
Extending SOAFEE into the AI Domain with MCP
As vehicles incorporate more AI-driven behavior, exposing services alone is no longer sufficient. AI systems need a structured way to discover, negotiate, and consume vehicle capabilities. mimik addresses this by integrating the Model Context Protocol (MCP) into its SOAFEE Blueprint implementation. SOAFEE standardizes what vehicle services are available and MCP defines how AI agents interact with those services.
Blueprint in Action: A Practical Example
In a SOAFEE-aligned vehicle running mixed operating systems (QNX, Linux, Android), mim OE enables:
- In-vehicle services (e.g., comfort controls, access management) to run as microservices
- Secure key management via agent-based access control
- Driver smartphones to act as temporary service aggregators
- Seamless bridging between automotive and non-automotive environments
The vehicle effectively becomes a super-gateway, connecting embedded automotive systems with AI-enabled consumer devices—without sacrificing safety or reliability.
Why This Matters for OEMs and Tier 1s
mimik’s SOAFEE Blueprint implementation delivers tangible advantages:
- Standards alignment without vendor lock-in
- Offline-first operation for safety-critical systems
- Incremental adoption that protects existing investments
- AI readiness through MCP-enabled agent interaction
- Future scalability across evolving hardware and software stacks
Rather than choosing between compliance and innovation, OEMs gain both.
Watch the Technical Walkthrough
To see the SOAFEE Blueprint with mim OE and MCP in action, watch the full technical walkthrough below.
Moving Forward with SOAFEE and mimik
mimik continues to collaborate with the SOAFEE community to advance practical, deployable architectures for software-defined vehicles.
Opportunities include:
- Proof-of-concept programs
- Integration pilots
- Joint Blueprint evolution
Whether you are building next-generation vehicle platforms or extending existing ones, mimik provides a path to resilient, AI-native, in-vehicle intelligence—aligned with SOAFEE standards and designed for real-world conditions.
