Assisted Driving
Your co-pilot for every drive.
- AI Cruise Control
- Lane Change Assist
- Lane Departure Warning
- Stop & Go
Self Driving Intelligence
Building the intelligence for safer, smarter driving.
Delivering low-cost L2+ driver assistance with a scalable AI stack built for automotive companies and laying the foundation for the autonomous future.
The Problem
Today's L2 ships frozen: rule-based, sold by the option package, locked in a supplier black box, and rarely updated for the life of the car. Hands-free works only on pre-mapped highways; everywhere else, lane-centering wanders, adaptive cruise hunts, and it hands control back the moment the road gets unpredictable.
Technology
Real capabilities, proven on public roads
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Lane Keeping
Centered, through the curves
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Lane Change Assist
Signal, and it moves
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AI Cruise Control
Slows before the curve, not in it
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Object Tracking
Every vehicle ahead, tracked
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Stop & Go
Congestion, managed
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Departure Warning
Drift, caught instantly
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Driver Display
See what it sees
AI Cruise Control
Built for the curves of canyon roads.
Artificial Intelligence Cruise Control reads the road ahead. On canyon roads like Topanga, it sees a sharp curve coming, eases off early, carries a steady speed through the apex and returns to your set speed on the way out.
Where We Drive
Proven on the 101
Stage 1 runs where people actually drive: the US-101 corridor from Calabasas to Santa Barbara, plus the arterials and signaled intersections of Southern California.
And on canyon roads like Topanga, AI Cruise Control takes the sharp curves smoothly.
Traction
Logged on real roads.
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5000+
Real-world miles, system engaged
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112+ h
Hours of engaged driving
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70 mph
Top engaged speed
Stage 1, Today
How it works
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Engage
Activate assisted driving with a single input. The system assists with speed, following distance, and lane keeping.
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Supervise
You stay in control. The car alerts you the instant your attention is needed.
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Improve
Every mile driven feeds back into the foundation model, expanding capability and coverage with each release.
Research
Built on a foundation model. Trained end to end.
Foundation Model
End-to-End Learning
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Motion Prediction
Forecasts where every road user ahead is likely to go next.
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Lead Vehicle Prediction
Anticipates what the car ahead will do next.
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Vector Space Prediction
Recovers lanes and road structure as a live vector map.
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World Model
Imagines how the scene ahead will unfold.
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Occupancy Model
Maps which space ahead of the car is free, and which is not.
Hardware
The whole stack, for $1,500
Our assisted-driving (L2+) stack runs on a deliberately lean set of commodity sensors and compute. No exotic hardware.
| Cameras ×2 | $65 each |
|---|---|
| IMU | $70 |
| Compute | $1,300 |
| Total | $1,500 |
| Front radarUses the vehicle's built-in radar | Not included |
Hardware
Universal Fit
A proprietary design for camera position that fits any vehicle.
It installs behind the rearview mirror on any vehicle, easily and without changing anything about the car.
3D Stack: Detect. Decide. Drive.
From pixels to pedals.
- Camera
- IDrive Autonomy Stack
- Lanes, lead car, path
- Steering and speed
One camera frame of a signaled intersection, with a white SUV ahead in the lane, splits into tiles that pass through the layers of the IDrive Autonomy Stack and come back as the lane lines, the lead car and a planned path, then steering and speed.
The Roadmap
Three stages of autonomy
The Road Ahead