At SoundHound AI, we’ve spent years perfecting real-time voice AI – owning the full conversational stack: ASR, LLM-powered NLU, agentic orchestration, and TTS. Our platform powers intelligent, voice-first interfaces across automotive, customer care, food ordering, retail, enterprise, and more.
Now, we’re excited to unveil the next chapter in that evolution – our in-house Vision AI module — engineered to bring real-time visual understanding into our conversational AI system.
This is a purpose-built, tightly-integrated Vision AI engine that unlocks a fundamentally smarter way for humans and machines to interact – by combining what we see with what we say.
More than a model — a system built for impact
- Designed our own Vision AI stack, optimized for enterprise-grade latency, accuracy, and deployment flexibility.
- Fused it natively with live audio (Polaris ASR Engine), NLU, and agent control, allowing our system to interpret visual cues in sync with speech.
- Made it production-ready, not just demo-ready – built for real-world deployments, vertical-specific tuning, and continuous learning loops.
This is innovation at the intersection of intelligence and execution. Vision + Voice isn’t a gimmick – it’s a transformational shift in how people interact with machines. Every frame, every utterance, every intent processed in the same ecosystem. That’s the power of owning the stack.
From concept to real-world use cases
Here’s how our Vision AI is looking to transform interactions across domains:
Drive-thru personalization
“Know your customers before they speak.” (once opt-in confirmed)
Camera captures license plate → identity inferred → order personalized → conversation begins.
AI: “Hi Jon, welcome back. Your usual spicy chicken wrap and iced tea?”
Jon: “Yep, and add fries.”
AI: “Got it. That’s $9.95. Want a cookie today?”
This is visual recognition + contextual memory + conversational AI, working as one.
Restaurant equipment troubleshooting
“Hands-free help, just show and ask.”
Employee shows fryer with error code, speaks:
“What does this error mean?”
→ Our system reads the code visually + understands the question → responds:
“That’s error E05 — fryer overheating. Check oil level and fan filter.”
Real-time vision comprehension fused with live voice support.
Retail shelf intelligence
“Eyes on inventory, ears for your questions.”
A store employee scans the shelf with a phone:
“Which product is missing here?”
Our vision module analyzes gaps, cross-references SKUs, and responds:
“You’re out of hazelnut chocolate bars—last row, third slot.”
This is AI-powered inventory awareness, delivered conversationally.
In-car discovery
“Retrieving useful information from the local environment .”
A passenger asks:
“What’s the number of the exit we just passed?”
The system recognizes the sign and responds:
“That was Exit 23 to Simi Valley.”
Important visual cues, spoken seamlessly.
Why this matters
This is more than a new capability – it’s a new interaction paradigm. For enterprise partners, this unlocks:
Faster and more natural user interactions
Operational efficiencies (e.g., support without typing or clicking)
Scalable deployment across surfaces—from kiosks to mobile to embedded devices
A foundation for intelligent agents that are truly grounded in the physical world
And because it’s all built in-house, we can tune it. Expand it. Secure it. And most importantly – make it work for your domain.
Our vision (and voice) for the future
When you combine what people see with what they say, you don’t just build smarter agents – you build empathetic, context-aware experiences.
We’re proud to be leading that evolution – not just by adopting multimodal AI, but by engineering it end-to-end, embedding it deeply into real-time enterprise systems, and driving measurable outcomes across industries.
From dashboards to drive-thrus, fryers to fieldwork – our AI sees what you see, hears what you say, and responds with intelligence that feels truly human.
Built for impact. Built for what’s next.
