Y? Lab Z!
New Ideas for a New World.Developing cutting-edge technology by asking questions “?” relentlessly until reaching fundamental truth at “Z”. From our virtual headquarters in Palo Alto, California, we engineer physical AI, intelligent apparel, electric mobility, and on-device ML—accelerated by Mojo (our replacement for Python) and Modular MAX (our replacement for CUDA).
AshBike E-Mobility
Aggressive motorcycle ergonomics with on-bike AI motor torque curves
Revolutionizing the electric mobility market by marrying motorcycle ergonomics with real-time AI motor torque curves, battery thermal optimization, and integrated telemetry across Android & iOS.
Native Android & WearOS Ecosystem
- Jetpack Compose (Material 3)
- Hilt Dependency Injection
- Room DB Persistence
iOS, watchOS & Apple Vision Pro (visionOS)
- SwiftUI & Apple HIG
- SwiftData & Model Context
- Swift 6 Strict Concurrency
Web Backend, Systems, Robotics & Quantum
- Axum High-Throughput Web
- Robotics RS Kinematics
- Substrate Blockchain Runtime
AI Systems, SIMD Kernels & Tensor Computing
- MLIR / LLVM Compiler Stack
- SIMD Vector Register Mapping
- fn Zero-GIL Concurrency
Heterogeneous Graph Compiler & Serving Engine
- Heterogeneous Execution (NVIDIA/AMD/Apple/ARM)
- Automatic Operator Fusion
- PyTorch / ONNX Graph Lowering
Active Computational Telemetry
Single synchronized engineering discipline across Android (Kotlin MVI) & iOS/visionOS (Swift 6).
SIMD vector register acceleration replacing legacy Python GIL bottlenecks and proprietary CUDA silos.
Zero-frame-drop spatial rendering loop with RealityKit, predictive head-pose estimation, and sub-mm anchor accuracy.
Source-available repositories on GitHub under developerY spanning Swift 6, Compose MVI, visionOS, and Mojo kernels.
Interactive Lab Directory
Jump into specialized laboratories to review real-time source blueprints, architecture comparisons, and target runtime SDKs.
Core Platforms
Unified execution across Android MVI, iOS/visionOS Swift 6, Modular MAX (CUDA replacement), and Mojo SIMD kernels.
Projects & Blueprints
Battle-tested implementations: AshBike e-bikes, ZoeWear smart knitwear, PhotoDo AI, ZoeRobo physical AI, and DrunkWatch.
Research & Philosophy
Technical whitepapers, “Android & iOS Dev Together”, Lewis Thomas epistemology archive, and empirical benchmarks.
Build With Us. Inspect The Source Code.
Every breakthrough developed at Y? Lab Z is backed by transparent benchmarking harnesses, source-available repositories, and verified engineering blueprints hosted on GitHub under developerY.