At Dharmsy, we build cutting-edge AI voice systems that enable seamless, intelligent and natural conversations between users and machines. From speech recognition to NLP and voice synthesis, our solutions are designed for real-world performance at scale.
🎙️ Key Features
- Real-time speech recognition: accurate voice-to-text even in noisy environments
- Natural language understanding: detect intent, emotion and context from user speech
- Text-to-speech (TTS): natural, human-like voice output
- Voice biometrics: optional speaker/identity verification
- Multilingual support: Hindi, English, Tamil, Kannada and more
- Flexible deployment: AWS, GCP, Azure or on-premise
📌 Common Use Cases
- 📞 AI-powered IVR and call-centre systems
- 🤖 In-app and device voice assistants
- 🏥 Healthcare & tele-consultation voice bots
- 🛍️ Voice shopping and order-taking assistants
- 📊 Smart kiosks and self-service support systems
🛠️ Tech Stack
- 🎤 Speech: Google Cloud Speech, Amazon Transcribe, Whisper
- 🧠 NLP: Dialogflow, OpenAI, Rasa
- 🔊 TTS: ElevenLabs, Amazon Polly and others
- ⚙️ Frameworks: Node.js, Python, React Native
- ☁️ Infrastructure: Docker, Redis, Kubernetes
💡 Why Dharmsy for Voice AI?
- ✅ Proven expertise shipping voice-driven products
- ✅ Full-stack team used to handling 500k+ users
- ✅ Focus on latency, reliability and scalability
- ✅ Flexible engagement: PoC, project or ongoing partnership
❓ Frequently Asked Questions
What is an AI voice assistant and how does it work?
An AI voice assistant uses speech recognition, NLP and machine learning to understand and respond to voice commands in real time. It can listen, interpret intent and trigger actions or responses.
Can you build voice bots in Indian languages?
Yes. We support Hindi, Tamil, Kannada and other Indian languages, with tuning for local accents and noisy environments.
Can this integrate into my app or website?
Absolutely. We offer web and mobile SDKs, plus REST APIs, so you can plug voice capabilities directly into your product.
What is your pricing model?
We usually start with a fixed-cost MVP or pilot, and can move to monthly retainers or hourly consulting depending on your roadmap.
🚀 Ready to Launch Your AI Voice Assistant?
If you’re exploring voice experiences for your product or support team, we’ll help you define a small, high-impact starting use case and grow it from there.