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LaviniAI: making phone calls smarter and more human
Rethinking voice AI for natural, real-time conversations.
Short summary
Industry
AI
Technology
Python
Go
Vue.js
Market
Germany
This project brought a bold vision to life: to create a voice assistant that feels natural, responsive, and solves real-world challenges.
By combining advanced technology with thoughtful design, we delivered a solution that redefined how businesses and individuals handle phone-based communication.
The challenge
Building a voice assistant that feels natural and human is no small task. The market is filled with solutions that often fall short—delivering robotic, laggy responses that frustrate users and break the conversational flow.
We faced several key challenges:
- Real-time responsiveness — Reducing latency to ensure smooth, natural conversations without long pauses was a top priority.
- Empathy and tone — Most AI assistants lack the emotional intelligence to truly connect with users, which is critical for sensitive interactions like customer support or healthcare-related calls.
- Flexibility in AI models — Many systems rely on a single AI model, limiting adaptability. We needed a solution that could switch seamlessly between multiple models for different use cases.
- GDPR compliance — Ensuring data privacy and compliance with European regulations was non-negotiable, requiring creative approaches to hosting and data flow.
- Landline integration — Adding voice AI functionality to existing landline systems required the development of specialized hardware to connect with Fritz!box routers, a popular choice in German households and businesses.
The solution
We delivered an AI voice assistant that redefined phone-based communication by focusing on user experience, adaptability, and privacy.
The assistant achieved real-time responsiveness, ensuring conversations felt natural and uninterrupted. It provided empathetic and human-like interactions, allowing businesses to build trust with their users.
HUMAN-LKE CONVERSATIONS
Our voice assistant system set a new benchmark for phone-based AI solutions. Designed to mimic human conversation, it featured real-time call handling, low latency, and empathetic responses, making every interaction feel more natural and human.
Product features
- Natural conversations
- Multi-assistant support
- GDPR compliance
- Empathy in action
- Offline capabilities
- Different model support
Natural conversations
Smooth, human-like interactions with 800ms latency.
Multi-assistant support
Businesses can configure and manage multiple assistants via a web interface.
GDPR compliance
AI models hosted in Europe ensure data security and privacy.
Empathy in action
Responses are designed to reflect emotion, building user trust.
Offline capabilities
Landline integration ensures functionality, even without cloud connectivity.
Different model support
Unlike other solutions on the market, our voice assistant system allows you to use AI models from OpenAI, Gemini, Cohere, and Anthropic.
Outcome
Our AI voice assistant set a new benchmark for phone-based interactions, proving that AI can be both smart and human.
- conversations that feel real – With low latency and natural responses, users no longer felt like they were talking to a machine.
- trust through empathy – Thoughtful responses made interactions feel more personal and engaging.
- built for flexibility – Businesses could configure multiple assistants and choose AI models that fit their needs.
This project reinforced our approach—delivering AI solutions that feel effortless, adaptable, and designed with people in mind.
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