We put SoundHound's AI agents wherever your product needs them: on the edge, in the cloud, or both.
Edge-first
Edge-first
Cloud-first
Cloud-first
Parallel
Parallel
OASYS Edge autonomously reasons through complex requests and decides how to act, coordinating multiple AI agents in parallel.
Voice assistants consider real-time context, like an open window or a light that’s already on, to choose the response that fits the moment.
OASYS Edge runs everything it can from the device, and only reaches for the cloud when requests need live online information.
Queries go to the cloud by default, giving users the most accurate, data-rich response possible.
If the cloud connection breaks, requests switch automatically to the edge to continue the conversation.
Before a query is sent, the system confirms the cloud connection is live, so processing only happens once, in the right place.
Sources data from embedded functions and the cloud simultaneously, and delivers whichever response gets it right first.
Switches data sources as conditions change. A car entering a tunnel or a device that loses connection gets covered by the edge.
Choose the right balance between edge and cloud for your device's CPU, memory, privacy requirements, and connectivity environment.
Every business has a different mix of hardware, connectivity, and use cases to design around. OASYS is built for that reality. Build one AI agent and deploy on the edge, the cloud, or a hybrid of both, and customize that balance by use case while maintaining a consistent experience.
Fully-embedded system where everything that can run locally stays local. Includes on-device AI agents and the ability to create custom functions for proprietary use cases.
Blend local processing with cloud connection. Deliver the level of connectivity that best matches your product, users, and use cases.
Equip your voice assistant with real-time data from the cloud, run unrestricted agentic reasoning with no CPU limits, and plug into connected services to unlock new revenue and functionality.
Simple or complex
Our embedded solutions handle light commands with minimal footprint, or scale up to full agentic reasoning that understands multi-step, natural requests.
Your CPU footprint
We fit the smallest, most constrained devices, and expand to larger compute power for deeper intelligence.
Control your data
Access your data and set how it’s collected, analyzed, and stored. Edge processing gives you the most choice in how you optimize product performance.
Deploy embedded voice assistants that understand natural requests, reason over real-time context, and coordinate multi-agent responses, all without a constant cloud connection.
On-device processing lets voice assistants respond as fast as you can talk
Interactions on the edge skip the per-request cost that adds up in the cloud
Requests handled locally never leave the device, so nothing is sent externally
Businesses own the model running in their vehicle or device, avoiding unexpected changes from third-party models
“The powerful hybrid cloud and embedded connectivity of SoundHound's voice AI platform allows us to deliver always-on voice experiences for customers on-the-go.”
Speech recognition built for real conditions, not clean rooms. Handle accents, background noise, interruptions, and language switches at the latency a live conversation demands.
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Build multi-agent systems where agents coordinate to complete requests, running on speech and language models we develop ourselves specifically for your domain.
Set what your agents can do before they do it. Rule-based functions, channel-level guardrails, built-in PII detection, and enterprise compliance keep actions secure and precise.
Experience SoundHound
Learn how OASYS AI agents handle your conversations in the real world.
Experience AI agents built around your actual use cases
See how we balance flexibility and reliability
Explore how we deliver outcomes that matter to you
Discuss what support looks like