Reliable AI agents you can trust

Our own customized LLM, fine-tuned to your industry and hosted in our cloud, so latency stays low and your customer data stays out of third-parties.

The speech recognition model underneath every OASYS interaction. It handles speech and intent in a single step, holding accuracy through noise, accents, and mid-conversation language switches.

Voice generation built into the same stack that does the listening. Pick a native voice across 100+ languages, or bring your own for a sound that's unmistakably your brand.

Reads the emotional signals in conversation: tone, frustration, urgency. Agents respond to how something was said, not only to the words in the transcript.

Sensitive information is detected and redacted on SoundHound infrastructure. The most private part of a conversation never crosses into a third-party detection service.

The lab behind GPT and the most widely adopted models in enterprise use. Strong general reasoning and reliable tool calling, with the deepest ecosystem of documentation and developer tooling around it.

OpenAI's models delivered through Microsoft Azure. Same capabilities, wrapped in Microsoft's enterprise controls, and the usual choice for organizations already standardized on Azure.

Google DeepMind's model family. Handles very long context and multimodal input well, which suits agents reasoning across large policy sets, manuals, or document collections in a single conversation.

The lab behind Claude, built with a focus on safety and reliability. Precise instruction-following and careful handling of ambiguity make it a fit for sensitive and regulated conversations.

A European lab known for efficient open-weight models. Smaller variants deliver fast responses at lower cost, which matters on high-volume, well-defined tasks.

xAI's model family, with real-time access to public information from X. Suited to agents that need current information rather than a fixed knowledge base.

AWS's managed service for accessing models from multiple providers through one integration. Practical for teams whose infrastructure and billing already sit with AWS.

Bring a model you host or license yourself. Fine-tuned, open-source, or proprietary, it configures like any other option here.