Voice-native AI agents do everything a screen can. No clicking required.
Action, not just talk
Give your business a powerful voice that can do anything a screen or human agent can.
No robotic pauses
Don’t wait for AI to finish its script. Speak freely with OASYS agents like they’re human.
Any language, real-time
No more language barriers or staffing gaps. Choose voice agents with live language switching.
Low latency
Low latency
Interruption
Interruption
Noise filtering
Noise filtering
Multi-lingual
Multi-lingual
Agents reply at conversational speed. No pause that gives away the machine.
Response times hold steady when call volume spikes.
Latency compounds. Short exchanges keep the whole conversation fast.
Users interrupt mid-sentence. The agent stops and picks up what they said.
Change your mind halfway through and the agent updates, no starting over.
People trail off and backtrack. Agents follow the thread anyway.
Recognition parses noise, crosstalk, and whatever else surrounds the mic.
Agents separate your customer from the voices nearby.
Accents and background noises are standard, not the exception.
Cover multiple languages without staffing a separate line for each.
Callers change language partway through and the agent follows.
Same answers, same rules, same brand voice in every language.

Proprietary, leading speech recognition in latency and accuracy across real world environments.

Give your brand the right voice. Choose from our custom voices, or connect your own.

No plug-ins. Our end-to-end model connects STT, LLM, and TTS into a single procedure for incredibly low latency conversations that feel human.

Our models are fine-tuned to your domain or environment. No generic plug-ins.
<4%
Word Error Rate
100+
Languages

Voice is the universal interface. OASYS agents make it work at enterprise scale, in the moments where your business actually meets customers and employees.
Employee assist
Digital assistants
Customer service
Outbound
Drive-thru
In-car

Our Polaris™ model surpasses developer STT plug-ins in speed and accuracy, especially in loud, real-world environments. When our customers switch to Polaris, they see a 3x error reduction, leading to more successful interactions, lower call abandonment, and satisfied customers.
Build multi-agent systems where agents coordinate to complete requests, running on speech and language models we develop ourselves specifically for your domain.
A new optional standard for more efficient human input. The conversation continues, the customer never gets transferred, and the interaction ends up resolved.
See what your agents are actually doing. Containment, effort, and conversation analytics show where interactions succeed and where users get stuck, so you keep improving.
It is the only voice AI model natively tied to a foundational audio recognition model (not voice-first, but native), combining proprietary STT and LLM intent models. Backed by 200+ patents, it delivers an industry-leading (lowest) Word Error Rate and real-time voice-to-voice processing.
The model understands the rhythm of human conversation, so callers can interrupt, put it on hold, or change their mind mid-sentence without breaking the interaction, thanks to dynamic turn-taking.
Whether in a crowded kitchen or a moving car, the model finds the signal in the noise, holding up in the real-world environments where accuracy counts most.
Yes. The model reads emotion and real intent, not just soundwaves, so agents can respond appropriately and surface sentiment in your analytics.
Yes. The voice AI is multilingual and can switch languages on the fly within a single conversation.
Yes. You can choose a voice that fits your brand, and SoundHound's data collection and labeling process can deliver a custom, branded wake word in weeks, not months.
Because processing is fully native and single-step (rather than stitching together separate services), there is no added lag and usage costs are lower.
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
