Onboard AI compute
Performance vehicles can now run serious perception and inference on board, close enough to the chassis to matter in real time.
Performance intelligence
The propulsion brain inside the world's fastest electric vehicles.
We are Pittsburgh Dynamics. We are building the system that the next generation of performance driving will run on: AI that turns electric power, road context, and chassis authority into more usable performance at the tire. The vehicle reads the road ahead, understands available grip, and prepares torque, braking, and stability decisions before the limit arrives.
Same battery.
Same chassis.
More car.
Why now
Three waves finally meet at the contact patch.
The hardware is ready. The sensors are already on the vehicle. The missing layer is intelligence that can connect what the car sees, what each tire feels, and what each wheel should do next.
Electric torque authority
Multi-motor EVs give the vehicle precise command authority. The next leap is deciding how to use it when grip is changing.
Road and tire sensing
Vision, thermal cues, tire state, and chassis signals can now become one live picture of the tire-road relationship.
From road surface to vehicle intelligence
A car that sees the corner before it arrives.
Cameras and onboard signals turn the road ahead into useful context. Pittsburgh Dynamics uses AI to convert that context into grip awareness, driver adaptation, and autonomous-ready chassis decisions.
What we are building
A vehicle that sees, feels, predicts, and adapts.
Pittsburgh Dynamics turns vehicle data into usable intelligence. The result is not another driving mode. It is a constantly learning layer that helps the car understand the road beneath it and the road ahead.
See
Future Road Sensing
Multi-sensor perception fuses complementary inputs to read surface, texture, weather cues, and road geometry before the tire reaches them. The vehicle stops reacting late and starts preparing early.
Road ahead, corner entry, surface transitions, weather cues.
Know
Instant Grip Envelope
AI turns tire, chassis, and road signals into a live understanding of available grip. Not an average estimate. A constantly refreshed answer for what the car can do right now.
The grip available now, refreshed continuously.
Predict
Future Grip Envelope
The system projects how grip is about to change as load transfers, surfaces shift, and the driver commits to the corner. The next decision is already being prepared.
Grip now, grip next, and the confidence to act.
Drive
Autonomous Driving Module
Built for the coming generation of intelligent vehicles, our autonomy layer helps the chassis choose calmer, faster, and more confident actions under changing grip. It is built to satisfy internal testing requirements that demand precision beyond what even the best professional drivers can provide.
Driver assist, autonomous performance, and high-confidence control.
One chassis brain
Classical functions become one coordinated decision.
Braking, traction, stability, torque vectoring, launch, and driver adaptation should not feel like separate systems negotiating. They should act like one intelligence layer with the same road context and the same grip envelope.
Read the road ahead
Forward sensing turns surface, temperature, water, and geometry into useful preview context.
Estimate live grip
Each wheel carries its own tire-road picture instead of sharing one averaged grip assumption.
Size the margin
Confidence changes how boldly the vehicle uses the available envelope before the next load arrives.
Coordinate the chassis
Wheel torque, braking, and stability decisions move toward the same objective, not competing ones.
AI grip intelligence
The car should know the grip before the driver needs it.
Every corner changes the road-tire relationship. Our AI watches those changes unfold and keeps a live picture of what each wheel can safely deliver now, plus what it is likely to deliver next.
Four wheels. Four live realities.
The car is never sitting on one uniform surface. One tire may be hot and loaded. Another may be crossing cooler pavement. A third may be preparing for exit torque. AI makes that invisible state usable.
This public visualization shows the kind of signals our system turns into vehicle intelligence, while the most valuable channels remain locked inside the Pittsburgh Dynamics runtime.
Encrypted AI state
2 hidden channels
Two proprietary AI channels are intentionally redacted. They inform the vehicle, but their internal meaning stays protected.
Front left
loaded
Tire pressure
30.8 psi
Temperature
91 C
Lateral load
1.42 g
Patch width
138 mm
Patch length
104 mm
encrypted channel locked
Front right
cooling
Tire pressure
30.1 psi
Temperature
77 C
Lateral load
0.74 g
Patch width
116 mm
Patch length
96 mm
encrypted channel locked
Rear left
drive
Tire pressure
31.4 psi
Temperature
86 C
Lateral load
1.05 g
Patch width
131 mm
Patch length
111 mm
encrypted channel locked
Rear right
margin
Tire pressure
31.0 psi
Temperature
82 C
Lateral load
0.91 g
Patch width
124 mm
Patch length
101 mm
encrypted channel locked
AI boundary
AI where it helps. Physics where it must.
High-performance vehicle AI has to earn trust. Our public design principle is simple: AI shapes context and confidence, while deterministic control keeps the hard safety envelope intact.
AI interprets context
Road preview, driver intent, and tire behavior become richer inputs for the chassis.
Uncertainty sets the margin
The grip estimate ships with its own confidence. As that confidence falls, the controller widens its margin to the friction limit.
Physics holds the envelope
The hard constraints stay grounded in vehicle dynamics, tire limits, and validation.
Graceful fallback
If an AI signal degrades, the chassis can fall back to calibrated behavior instead of failing abruptly.
Why it matters
More confidence, more speed, more intelligence.
The best vehicles of the next decade will not just be powerful. They will be perceptive. They will understand grip, adapt to their driver, and prepare for road conditions before they become problems.
Performance that feels inevitable
The car can use more of what the road offers while staying composed when the surface changes.
Autonomy with road sense
Autonomous driving becomes stronger when the vehicle understands not just lanes and objects, but grip and surface behavior.
Road cars that learn
The vehicle can adapt to driver style, tire condition, weather, and repeated routes without asking the driver to choose a mode.
Race cars that think ahead
At the limit, milliseconds matter. Future grip awareness gives the chassis more time to make the right call.
What 2% means
The propulsion brain for the world's fastest electric vehicles.
Pittsburgh Dynamics is building the system that helps the next generation of performance vehicles do more with the motors already in the car. A two percent efficiency gain is real range on the road, real race energy on track, and real freedom in how the chassis deploys power.
+1
kWh
Formula E
Roughly two percent of a per-race energy budget can become extra deployment margin, more aggressive attack windows, or more energy left when everyone else is managing the pack.
-1
stop
24H endurance
Compounded across hundreds of laps, two percent can change stint strategy, pit timing, and how long the car can stay in its fastest operating window.
+0.3
s/lap
Top-class single seaters
When energy management dictates pace, two percent can translate into tenths per lap. Across a race, that becomes seconds. Across a season, it can become a championship.
Same battery. Same chassis. More car. Our AI focuses on turning available energy and available grip into usable performance at the tire.
Who we are
Built between Pittsburgh and Istanbul.
The Pittsburgh Dynamics team connects Pittsburgh's AI ecosystem with Istanbul's engineering rigour.
Cofounder and CEO - Istanbul
Kaan Günay
Building the vehicle-intelligence core behind Pittsburgh Dynamics.
[email protected]- Mechanical Engineer from Bogazici University.
- MSc from the Technical University of Denmark.
- PhD student at Sabanci University.
- Former engineer at Siemens and Turkish Aerospace (TEI).
Cofounder - Pittsburgh
Orhun Gün
AI Coordinator and Investor Relations
[email protected]- Mechanical Engineer from Bogazici University.
- Three MSc degrees across Portugal, France, and the US.
- PhD Candidate at Carnegie Mellon University.
- CTO at Accounting AI Lab.
Build the AI-native vehicle with us.
For partnerships, talent, and serious conversations about the future of intelligent performance.