Most phone bots read text out loud: the words are right and the delivery is flat. Ours work out how a line should sound before they say it — where the emphasis goes, when to slow down, whether the moment needs warmth or an apology — and our own speech models perform it. Replies start in about a seventh of a second and stop the instant the caller cuts in.
Every voice bot gets the words right. What gives them away is the delivery: flat pitch, emphasis on the wrong syllable, the same cheerful tone for a booking and for bad news, a pause that lasts a beat too long. Our agents write their own delivery — stress, pacing, emotion, a breath, a laugh — and our speech models perform it. That is the difference between speaking and playback.
Emphasis where the sense needs it, breath where a person would breathe, a question that actually rises at the end. Numbers, names and addresses said the way you would say them out loud.
Warm on a greeting, apologetic on a mistake, brisk when the caller is in a hurry. The agent chooses the tone per sentence — it is not one upbeat setting applied to every call.
It reads your knowledge base, checks a real calendar, looks things up mid-sentence — then answers the question that was asked, not the nearest one it recognised.
No developers, no phone-system project. Describe the job, pick a voice, point a number at it.
Give it a name and explain what it should do in plain language — like briefing a new hire. Pick a voice and language.
Get a new local number in seconds, or bring your own over SIP. Choose which agent answers it.
It answers instantly. Watch live calls, then review recordings, transcripts and AI summaries any time.
Pick a use case and start a real call from this page. Interrupt it. Change your mind halfway through. Read it a phone number too fast. That is the only test that counts.
One dashboard: the agent, how it speaks, its number, every call it took and every detail it captured.
Describe the job, pick a voice, and you’re done. Sensible defaults handle the hard parts — every advanced knob is there when you want it, hidden when you don’t.
Listen live or review later. Each call comes with audio, a full transcript, an AI summary and the exact details your agent captured — names, dates, order numbers.
Caller booked a cleaning for Thursday 10:00. Collected name and insurance type.
Point each number at an agent or a person. Add rules for busy lines, after-hours and weekends — calls always land in the right place.
Not a reseller’s API with someone else’s latency and someone else’s monotone. We train and serve the speech models, so delivery is ours to tune: how emotional a voice gets, how fast it speaks, how it handles a spelled-out email or a 12-digit order number. A caller in Berlin and one in Kyiv both get someone who sounds local.
Measured on our own serving stack, on the hardware that answers your calls.
“Patients talk to it the way they talk to my receptionist — they interrupt, they change the date twice, and it keeps up. That is the part I did not expect.”
“We had tried two other voice products. Callers kept going quiet, waiting for the robot to finish its sentence. With this one they just have the conversation.”
“Same agent, German and Spanish, and both sound like someone who grew up there. Our cold-lead conversion moved because people stay on the line.”
Start pay-as-you-go, upgrade when you grow. No setup fees, cancel anytime.
All plans include unlimited agents, call recording and the full dashboard. Prices exclude VAT.
Prefer to keep everything in-house? License callagent as a stand-alone system installed on your premises — in your office or colocated. The LLM, speech-to-text and text-to-speech all run on your machines, and every call is handled end-to-end without a single external API request.
For organisations that must follow the GDPR (DSGVO), this is the most reliable setup there is — and no comparable offer exists from the competition in Germany. The stand-alone system is built for government offices and companies working with sensitive personal and financial data.
Licenses start at €25,000 and scale with the number of concurrent calls and the integration work your systems require. Hardware sizing and integration scope are defined together during scoping. Prices exclude VAT.
Everything on this page is a REST API too. Give ChatGPT, Claude or any other AI model a single API key and it builds the agent, gives it a number, tests it, puts it on real calls, and reads the results back. No dashboard, no browser automation, no clicking.
Create and configure agents, run a scripted conversation through the real pipeline, then place a live test call — all from the API.
POST /api/v1/agents
Transcripts, recordings, summaries, captured variables, call history and billing records. Watch calls in progress, or end one mid-call.
GET /api/v1/calls/{id}
The billing endpoints speak x402: your agent settles in USDC on Base straight over HTTP. No card, no checkout, nobody woken up.
POST /api/v1/billing/x402/topup/25
Upload the leads, write the qualifying questions, let it dial. Every answer the caller gives comes back as a captured variable on the call — and on your webhook — ready to write straight into the CRM. It reads your do-not-call list before it dials, not after.
It checks the real Google Calendar while the patient is still on the line, offers the slots that are genuinely free, books the appointment and emails the invitation. Cancellations and reschedules too. Connect the calendar once; everything after that is the API.
One human step: mint a key in Settings → API & Webhooks. After that an agent needs nothing from you.
Create an agent, call it from this page, and listen to how it says things. Five minutes, no credit card.