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Automated tests passing
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Target response latency
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Car wired and talking
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Boston pilot seats — phase one
Running today

What's already on the road.

The full pipeline — listening, thinking, and talking back — runs end-to-end on the prototype hardware right now.

Wake word & voice pipeline

Always-listening wake detection feeds a streaming speech-to-text → language model → speech pipeline, with overlapped playback so EXCAR starts talking before it's finished thinking.

OBD-II vehicle data

Connected directly to the car's OBD-II bus — reading fuel level, speed, RPM, coolant temperature, and diagnostic trouble codes in real time, with EXCAR drawing power from the same port.

Persistent memory

Conversations carry across drives. EXCAR restarts with a context-aware acknowledgment of how much time has passed — without ever announcing that it's "remembering" anything.

Mazda dashboard app

A companion app runs directly on the car's built-in screen (Mazda CMU), giving EXCAR a visual presence on the dashboard itself — not just a voice from a box.

iOS companion app

A React Native app for setup, EXCAR's personality settings, and reviewing — or clearing — what EXCAR remembers. Currently in beta.

27 automated tests

The voice pipeline, memory, and OBD-II integration layer are covered by an automated test suite — the kind of unglamorous groundwork that keeps a prototype from breaking every time we touch it.

The road ahead

From one car to a small fleet.

Each stage builds on the last — hardware first, then the offline brain, then real drivers.

Done

Prototype on the road

Core voice pipeline and OBD-II integration running on a Raspberry Pi 4 in a 2015 Mazda 3. Wake word, streaming conversation, persistent memory, and live vehicle data all working together.

In progress

Hardware upgrade & offline brain

Moving to more capable on-board hardware to support a fully local language model — so EXCAR keeps working in tunnels, parking garages, and dead zones, switching seamlessly between cloud and on-device.

  • Quantized local model sized to run entirely on-device
  • Automatic hybrid switching between cloud and offline
  • No change to how EXCAR sounds or behaves — just where the thinking happens
Next

Boston pilot — 10 cars

A hands-on installation for ten Boston-area drivers. Each car gets a personal setup session, direct feedback channel, and a front-row seat to shaping what EXCAR becomes next.

Next

Expanded beta — 50 cars

Wider rollout across more vehicles and car models, with the plugin architecture extended beyond Mazda to validate "works in any car" across real-world hardware variation.

2026

Public Kickstarter

Opening EXCAR up to anyone who wants one — backed by a working product, a real install base, and a year of road testing behind it.

Under the hood

Built to work in any car — starting with one.

EXCAR's software is split into a car-agnostic core and small per-vehicle plugins, so supporting a new car model is an addition, not a rewrite.

Core

Listens, thinks, speaks

Wake word detection, speech-to-text, the conversation engine, text-to-speech, and memory — identical in every car, regardless of make or model.

Plugin layer

Mazda, with more on the way

Per-vehicle integration — OBD-II reading, dashboard display, steering wheel controls — lives in a small plugin. Mazda is first; BMW and Toyota plugins follow the same pattern.

Hybrid brain

Cloud when available, local when not

EXCAR runs on a cloud language model when connected, and falls back to a quantized on-device model with no perceptible change in personality when it isn't.

Want to ride along while we build it?

Join the waitlist for the Boston pilot, or follow along as EXCAR moves from one car to a fleet.