Run AI On Your Device.

No Cloud. No Rainwater.
Complete control over your data.

Supported By

CMU Robotics Institute Robotics Factory Innovate PGH

"It used to be expensive to make things public and cheap to make them private. Now it’s expensive to make things private and cheap to make them public." – Clay Shirky

Modern devices have incredible computing power sitting idle. Since the seminal Wu paper in 2019, hardware heterogeneity has grown because modern edge devices now span a wider range of CPUs, GPUs, and NPUs.

We leverage that hardware to build faster, more private, and more cost-effective AI features. Sutura builds infrastructure for running AI models on your device with no cloud dependencies, no recurring API costs, and complete control over your data and deployment.

We're building the runtime and optimization tools that let businesses deploy voice, audio, and sensor AI at scale - without the overhead of cloud infrastructure, per-request billing, or the environmental cost of massive data centers.

Hardware Evolution
Sutura on-device AI — phone mockups

Services

On-Device AI Infrastructure

Open-source runtime for deploying voice, audio, and sensor AI models on Android and VR devices. Zero cloud dependencies, 3x faster than general ML frameworks.

Custom Model Optimization

We optimize your trained models for mobile deployment. INT8/INT4 quantization, ARM NEON acceleration, and model pruning to get your AI running on consumer hardware.

Model Fine-Tuning Services

Fine-tune Whisper, TTS, and audio models on your specific domain data - custom vocabulary, accents, voice cloning, or specialized audio processing.

Privacy-First Architecture

Strategic guidance for designing AI features that run entirely on-device. HIPAA compliance, GDPR readiness, and eliminating API bills while improving latency.