Talk to Your Agent: Voice-Enabled AI with FoundationaLLM
The Challenge: Text Isn’t Always Enough
LLMs have unlocked a new way to work—but most interactions still rely on chat interfaces that can slow things down or limit usability.
- Users want faster, more natural interactions
- Voice-based experiences are hard to build and harder to scale
- Integrating speech into secure enterprise workflows requires orchestration, context awareness, and governance
What if your users could just speak to your agent—and hear a response in return?
The Solution: FoundationaLLM Powers Speech-Driven Conversations
FoundationaLLM is a platform, not a SaaS product. It runs in your environment and allows you to build LLM-agnostic agents that integrate seamlessly with speech-to-text (STT) and text-to-speech (TTS) systems. These agents can understand, respond, and speak back—all orchestrated through FoundationaLLM’s extensible, secure infrastructure. Whether you're using OpenAI Whisper, Microsoft AI Speech, or custom neural voices, FoundationaLLM enables rich, voice-first experiences that meet enterprise standards.
FoundationaLLM makes it simple to enable voice-first AI experiences. By orchestrating STT and TTS services around your LLM agents, it allows users to interact naturally—just like a conversation.
From call centers to field apps, users can now talk to their copilots and hear personalized responses—no code, no complexity. And because it’s deployed in your environment, with pre-built support for popular voice models and flexible agent design, organizations benefit from faster time to value, reduced integration overhead, and a scalable voice UX framework that lowers long-term cost.
How It Works
User Speaks – Their voice is captured and transcribed via a speech-to-text model like OpenAI Whisper or Microsoft AI Speech.
Agent Responds – FoundationaLLM passes the transcription into the LLM-powered agent.
LLM Generates Reply – The agent reasons and generates a natural language response.
System Speaks Back – The reply is sent through a text-to-speech model to be spoken aloud to the user.
Optional Custom Voice – Brands can add a personalized voice using Microsoft Custom Neural Voice.
The Technical Hurdles
and How We Solve Them
Hurdle: Stitching together STT, LLMs, and TTS is complex.
Solution: FoundationaLLM orchestrates the entire voice pipeline—seamlessly and securely.
Hurdle: Voice experiences need context memory and real-time sync.
Solution: Conversation state is maintained across modalities—voice and text are interchangeable.
Hurdle: Off-the-shelf voices break brand consistency.
Solution: FoundationaLLM supports custom neural voices so your agent can speak in a tone that matches your brand.
The Business Impact: AI That Speaks Your Language
Voice-Enabled Service Agents – Automate front-line interactions in a more human, conversational way—boosting customer satisfaction and reducing support costs.
Hands-Free Interaction – Empower users on the go: drivers, technicians, execs in motion—increasing productivity and operational reach.
Natural Adoption – Speaking is intuitive—reducing friction, increasing engagement, and driving faster user adoption.
Branded Voice UX – Custom voice support keeps your customer experience on-brand—delivering consistency at scale while saving development time.
Why FoundationaLLM?
Full voice pipeline: STT → LLM → TTS
Plug-and-play support for Whisper, Microsoft AI Speech, and more
Natural language understanding + conversational memory
Custom voice options via Microsoft Neural Voice
Runs securely in your Azure environment
Ready to Give Your Agent a Voice?
Let users speak naturally and hear responses that feel real—on the phone, in the field, or on the move.
With FoundationaLLM, your agents don’t just respond—they converse.
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