Keep the critical interaction path close
Run latency-sensitive voice and language-model execution on supported device hardware, with less dependence on a round trip to the cloud.
For embedded, mobile, wearable, automotive, and robotics products.
Enterprise voice AI deployment
Deploy realtime AI where your product needs it
Use one Entropy SDK across on-device execution, the Entropy Cloud API, and your private cloud. Keep the models and product logic you already use while choosing the operational boundary that fits your product.
Three deployment paths
One product interface
Start with an Entropy-managed endpoint
Use a hosted path when your team wants Entropy to operate the service while your product connects through the same integration surface.
For evaluation, managed operation, and cloud-connected products.
Run inside your infrastructure boundary
Deploy in your VPC or on-premises environment when architecture, data handling, or operational control needs to remain with your organization.
For enterprise deployments with customer-owned infrastructure.
Integration boundary
Keep your stack
Entropy connects your language model, the realtime runtime, and context-aware voice through one product interface. The model can remain local or cloud-based; deployment changes do not require a new interaction architecture.
- Your model
- Your existing reasoning, product logic, and model provider.
- Realtime runtime
- Coordinates voice and model execution in one interaction loop.
- Entropy voice
- Adds natural speech, timing, interruption, and response.
- Entropy SDK
- Connects the components across local and cloud deployment.
Plan an integration
Choose the boundary with your team
Supported environments depend on the product, hardware, model, and operating requirements. Tell us what you are building and where the realtime interaction path needs to run.
Discuss your deployment