Stellar’s AI voice agents ensure Q-Park’s customers get immediate assistance for common parking-related requests, allowing Q-Park to reduce average time to resolution and service levels in a cost effective way.
Stellar’s voice agents offer the most lifelike customer experience currently possible at industry-leading latencies. They can autonomously assist customers with routine requests, and seamlessly transfer customers to your team for anything that needs a human touch.
Unedited recordings of Stellar’s AI voice agents resolving customer requests. Agents rely on state-of-the-art voice-to-voice models, which have access to 57 languages and can be tuned to speak in regional dialects or accents. Interested in hearing an example for your specific language and use case? Book a demo
Stellar’s AI voice agents have autonomously handled hundreds of thousands of customer conversations for established brands, with tangible results across a wide range of industries, use cases and languages.
Stellar’s AI voice agents ensure Q-Park’s customers get immediate assistance for common parking-related requests, allowing Q-Park to reduce average time to resolution and service levels in a cost effective way.

Stellar’s AI voice agents allow Medux and Medipoint’s calling customers to schedule in-store appointments, coordinate home deliveries, and check delivery status updates with 0 wait times.
Vanbreda replaced their existing IVR setup with Stellar to provide a more customer-friendly way to route and authenticate customers, and ensure customers get the correct assistance faster.
Guests calling Landal or Roompot get immediate answers for common questions and are routed to the correct team or park by Stellar’s AI voice agent, which also prepares the correct booking details for employees by authenticating customers while they wait for assistance.
The NVM realtor association’s service office uses Stellar to answer calling their realtor outside of office hours, and register viewing appointments and other requests in their system.
Stellar’s AI voice agents go far beyond basic call handling. Here’s how our customers put them to work.
Provide direct assistance on evenings and weekends for the 70% of calls that involve routine requests. For requests where human support is still needed, let Stellar schedule a callback appointment or create a support ticket in your system.
Let customers skip the queue for routine requests that Stellar’s AI voice agents can autonomously resolve. From basic account updates to (re)sending information via email, checking order or booking statuses, answering FAQs, or (re)scheduling appointments.
By allowing 70% of callers to resolve their issue without human assistance, peak and average wait times drop significantly. Even for customers that need or prefer support from a human employee. Providing 24/7 first line support also helps reduce early morning support peaks.
Replace tedious phone menus asking to press 4 for X. Let Stellar’s AI agent ask the caller what they're calling about, and automatically connect to the right queue or external phone number. Stellar has 40% higher routing accuracy than traditional IVR solutions, with drastically better customer experience.
Complex authentication flows where multiple details need to be gathered easily add 1-2 minutes to every call. Let Stellar authenticate the caller before doing a warm transfer to your team, surfacing the relevant customer details on-screen at the start of the call.
Provide immediate answers to frequently asked questions. Where needed Stellar’s AI agents can connect to your existing knowledge base, to automatically remain up to date with future updates.
Calls automatically get transcribed, summarised and categorised, along with automated support ticket creation and fully customisable AI-enabled evaluation of calls. Forget about manual post-call administration, and enjoy significantly more detailed insights.
Proactively reach out to customers for appointment (re)scheduling or reminders, important notifications, follow-ups or other use cases.
Stellar’s Studio lets you confidently create and operate your AI voice agents, and comes with built-in tooling to effectively design, test, deploy and monitor your agents.
Stellar’s Agent Editor makes it easy to design and iterate on your agents. Define your agent persona, specify the procedures to follow for each request, connect to external APIs, and configure guardrails and evaluation criteria.
Test your agent in Stellar’s Playground via voice and chat, or evaluate your agent using automated test suites.
Stellar automates QA for every call using a set of built-in evaluation criteria, and allows writing your own custom evaluation criteria. Monitoring dashboards, post-call summaries, automated CSAT scoring, recordings and transcripts help quickly drill down on problem areas.
Most traditional AI voice solutions still rely on a speech-to-text → LLM → text-to-speech pipeline, introducing latency and losing tone, nuance, and context at every step. Stellar's AI voice agents utilize state-of-the-art voice-to-voice models from the leading LLM providers, unlocking industry-leading fast response times and the most natural customer experience possible today.
The lowest latencies currently available in the market. Voice-to-voice models respond as fast as a human representative would and parse intent, tone, and context end-to-end. No traditional speech-to-text → LLM → text-to-speech pipeline to slow things down.
Dynamically retrieve relevant knowledge from your docs as needed during conversations, or connect the agent to your existing helpdesk or knowledge management system so it can search for answers in real-time.
Offer multilingual support out-of-the-box across 50+ languages. Lock support to specific languages if needed.
Customers can talk over the agent or change their mind mid-sentence. Stellar's AI voice agents can instantly adapt within a split second, adjusting their responses to the interruption without unnatural delays.
Detects frustration, urgency, and confusion, and adapts tone or escalates when the conversation requires it.
Warm hand-off to human agents with the full transcript, intent, and next-best-action already attached.
Stellar’s Guardrails system evaluates every turn of the conversation based on a combination of built-in rules and rules specific to your context. Powered by a fully isolated secondary AI model that acts as LLM-as-a-judge, any rule violation is immediately flagged and acted upon — whether to escalate to a human, end the conversation, or nudge the agent to steer in a different direction. Rely on Stellar’s battle-tested guardrail library for common customer service scenarios, and let our team help you configure custom rules tailored to your business.
Stellar can seamlessly integrate into your existing customer service technology stack, allowing Stellar's AI agents to work alongside your human employees. Connect to any customer support system, telephony provider, CRM, or other API-enabled system. Besides a range of built-in integrations, Stellar's flexible REST API connector and MCP connector allow you to easily connect to any API-enabled system.
Track AI agent performance, measure what matters to your specific business with custom evaluation criteria, and uncover the trends shaping your customer experience using AI.
Learn more about insights & reportingStellar is built with enterprise-grade security and reliability at its core, and trusted by leading enterprises across industries such as insurance, healthcare, retail and hospitality.
Combined with a suite of tools to effectively audit, test and monitor your AI agents, you can go to production with confidence.
Visit Stellar’s Trust Center for certification & security controls
No, your data is not used to train any of the underlying models. This relates to not only your internal knowledge sources (e.g. documentation) used for configuring the AI agent, but also to the actual conversations between your customers and Stellar. Additionally, Stellar has agreements with all our LLM providers for ‘zero data retention’ (meaning that none of your data will be stored by our providers), and ‘EU data residency’ (meaning that all processing of data is done within Europe).
We have developed a number of proprietary hand-off policies (also called guardrails) for common scenarios and circumstances where you might prefer a human agent to take over. Besides this you can configure the exact topics the agent should handle, and the exact topics and scenarios for which you want to transfer to your team. Stellar’s AI agent can intelligently determine when its own knowledge or access to your systems is insufficient to properly assist a customer. Stellar supports handling cases where no human agents can assist within a reasonable amount of time, such as after office hours or busy peaks. For such cases, Stellar can be configured with either no-hand-off policy. As alternative, you can let your AI agent create a support ticket to pick up later or offer to schedule a call back based on your provided availability.
As Stellar can integrate with your existing call center infrastructure (through SIP) and ticketing system, your human agents taking over the escalated phone call can continue to work with the tools they are already using. When Stellar’s AI determines hand-off to a human agent is preferred based on your hand-off policies, we redirect the customer to your existing phone support queue so that a human agent can assist them further. Relevant details already gathered by Stellar’s AI agents, such as topic identification, call summary and authentication details, can be surfaced in your preferred ticketing system.
Stellar’s AI agents can autonomously handle a wide range of customer inquiries, going much further than traditional automated phone support systems while offering a better customer experience. Common inquiries which Stellar can autonomously support include performing account updates, providing status updates (e.g. for orders), answering billing questions, supporting users with site navigation, and answering general information requests. For more complex issues or topics you might not yet want Stellar to handle, it can seamlessly transfer the customer to a live agent while providing relevant conversation history for a smooth hand-off.
Stellar’s platform uses a combination of multiple AI models, which support over 50 different languages. Stellar’s AI agents have access to any of these languages during conversations with a customer, can be tuned to speak in regional dialects and accents, and can be configured to switch to a customer’s preferred language whenever a customer asks for this during the call. The full list of currently supported languages is: Afrikaans, Arabic, Armenian, Azerbaijani, Belarusian, Bosnian, Bulgarian, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, German, Greek, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Kannada, Kazakh, Korean, Latvian, Lithuanian, Macedonian, Malay, Marathi, Maori, Nepali, Norwegian, Persian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swahili, Swedish, Tagalog, Tamil, Thai, Turkish, Ukrainian, Urdu, Vietnamese, and Welsh.