AI and ML Services
We specialize in bringing AI models into production in constrained environments.
Model optimization
Synervoz can help optimize models to ensure compute and memory constraints are met, while conforming inputs and outputs to other parts of the application to which they will be connected.
We can help put it all together
Build a mobile app or prototype to demonstrate the capabilities of your in-house model.
Integrate open-source models into your application or internal system.
Build systems that combine multiple models in series and in parallel.
Determine what’s possible and design the system to optimize for: device constraints, latency, security, and user experience.
At the edge
Many AI models currently run in the cloud. However, you might prefer to run your model at the edge (on device) for various reasons:
to minimize latency
ensure security and privacy
reduce bandwidth costs.
Achieving this requires leveraging AI acceleration capabilities on your target device and optimizing the model itself. We specialize in this area, especially with audio and related models like LLMs, Speech-to-Text, and Text-to-Speech.
On all platforms
Whether you're aiming to target multiple platforms such as desktop (macOS, Windows, web, Linux), mobile devices (iOS, Android), or embedded systems, Synervoz offers extensive expertise in AI across all these platforms. In addition, our internal technology, like the Switchboard SDK, significantly accelerates the deployment of AI models across multiple platforms.
This includes our ONNX extension, which can help bring your model into production:
without needing to build or maintain your own SDK
adding support for more platforms (if you do already have a library)
providing support for additional languages and frameworks (e.g. React Native, Flutter, etc.)
providing extensibility with other Switchboard features
Reduce cost and time to market (TTM)
Any of our services can be integrated into solutions that use our SDK and/or pre-existing source code. This can help reduce hours and TTM.
