Meet Eva in English
A hello, and the people behind it.
Eva is building voice AI for customer calls using company-provided context. Hear recorded examples below.
Scripted hospitality example: Guest asks to arrive earlier tomorrow. Eva asks what time. Guest says eleven. Eva explains that staff must check availability and can pass along the request. Staff availability check pending. No booking is confirmed.
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Meet Eva in English or Turkish. Start a live conversation about Eva, our founders, and this website.
Explore the demos ↗A hello, and the people behind it.
Eva’yı ve arkasındaki ekibi keşfedin.
Choose a language to start a live conversation.
A hospitality inquiry can become a clear next step for the right person. This authored scene shows the kind of workflow Eva is being designed to support.
Room availability needs a staff check.
Company-provided guidanceAsk the hospitality team to confirm availability.
Awaiting staff reviewGuest requests arrival tomorrow at 11:00. Early check-in still needs confirmation.
Listen to a recorded example or speak with Eva live in English or Turkish. Ask about Eva, our founders, and what you can explore here.
Full scripted text
Hello! I checked your account and reversed the duplicate charge. You should see the refund in your bank within two business days. Is there anything else I can help you with today?This recording illustrates a possible conversation. It does not document a real account action.
Choose your language and meet Eva. Ask about the company, the founders, or the website.
Choose a language to start a live conversation.
Starting a call requests microphone access. Audio is processed by Cartesia; calls may be recorded and transcribed. Each demo lasts up to 3 minutes. Headphones help keep the conversation clear.
Eva is exploring customer-service workflows across four initial sectors. These are illustrative opportunities, not customer deployments.
An inquiry can be understood and handed to staff with relevant context.
A property inquiry can become a clear follow-up for an agent.
A service question can be prepared with its location and urgency.
An administrative request can be prepared for an authorized team member.
Company-provided context can help a voice agent understand a request and prepare a next step within the rules a team sets.
A customer explains what they need in their own words.
Relevant, approved business context helps interpret the request.
The next step is shaped by what the team allows the agent to do.
When a person is needed, the request can be summarized for follow-up.
An outbound follow-up should begin with context, not a request to repeat yourself. In this example, company-provided guidance lets Eva mention the Alder Street enquiry and ask for a preferred viewing day.
Eva can prepare the answer for an agent to review. The person spends less time explaining; staff confirms what happens next.
Meet Eva in a live English or Turkish conversation in the demo above.
Illustrative outbound estate-agency follow-up using example company-provided guidance: Eva calls about the person's Alder Street viewing enquiry and asks which day would suit them. The person says Thursday afternoon. Eva says she can prepare that for the agent to review. Availability still needs confirmation. No viewing is booked.
Eva identifies itself as AI at the start of a call. Callers can ask to speak with a person.
Recording requires consent. The client company collects it, or Eva does so when the client asks us to.
Recordings are used for analysis and deleted after a defined retention period. Requests that need a person can be handed to staff for review.
We consider energy impact when choosing the hosting and database infrastructure behind Eva.
The Website Carbon snapshot estimates impact for the public website; the Green Web Foundation badge checks its hosting. Neither assesses Eva’s voice agent or database infrastructure.
We’re focused on making customer conversations easier to understand and easier to act on, while keeping people at the heart of what happens next.
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