Wherever your customer shows up, it’s already there — on the phone, in the chat window, or face-to-face on a screen. Whether they talk or type, it does not explain your system to them. It reads the room, works the system, and gets it done while the conversation turns.
Inbound, outbound and scheduled calls on a real number. A bad line, a noisy room, one bar of signal — it holds the conversation anyway, and the call ends with your records already updated.
The AI drives it — every look, pause and reaction it picks itself. Nobody animates the anger, the hesitation, or the moment it softens.
It doesn't explain the software. It uses it — scrolling, opening, filling and submitting while it talks you through what it is doing.
A medical student who freezes in front of a patient. An officer facing someone furious. Singapore’s universities and ministries use Voxio Agents so their people can practise the conversation before it counts. The same agent screens a hundred candidates on the phone, and runs your software while you talk to it.
It plays the anxious patient, the stubborn resident, the customer demanding a refund — and holds that character until the person opposite earns the turn. Then it drops the act and tells them what they missed.
Read the deploymentsInbound, outbound and scheduled calls on a real number, handled end to end. It works on the connection your customer actually has — a bad line, a noisy room, one bar of signal — and the call ends with your records already updated.
Read the deploymentSay what you need and it works the screen — scrolling, opening, filling, submitting, explaining as it goes. A booking engine, an ERP, a checkout: if a person can do it, it can do it while you talk.
See it workHiring OS for the recruiter screening. Career OS for the candidate trying to earn the role. Training OS for the student being prepared for it. Placement OS for the institution doing the preparing. Four products on one engine, with Voxio Agents as the voice inside it — the same engine as the calling agents and the 3D avatars, pointed at interviews.
Point it at the job you actually want and get a straight answer: where you match, where you are weak, what closes the gap. Two scores that are never blended — whether you have the thing, and whether the page shows it.
The recruiterScreening at a volume no team could staff. It runs the first-round conversation on every applicant instead of the twenty someone had time for, and hands back a ranked shortlist with the reasoning attached — not a call queue.
A live AI interview that behaves like the real thing — questions that adapt, follow-ups that probe when an answer sounds thin, and feedback naming exactly where you stumbled, turn by turn, with the video to prove it.
The institutionNot another dashboard — a short list of the students where coaching failed to land, so a human can step in. Readiness is computed as advice and then conferred by a named person. The machine never signs it.
Adopting Voxio AI’s voicebot and 3D avatar has fundamentally transformed our user engagement at SilverWings XR. It has empowered our team to shift focus from routine inquiries to high-value, complex projects, knowing our users are in capable hands.
Kapil ChabriaCEO & Founder, SilverWings XRPeople lose jobs over how they answer, not over what they know. That only works if the interview pushes back when an answer is thin and does not wait a beat too long before it speaks — Voxio is the reason ours does. Candidates stop performing for it after about a minute.
EchoboticsEchobotics — Hiring, Career, Training & Placement OSSounding human is a solved problem. Anyone can rent a voice that reads a paragraph beautifully and a face that lip-syncs to it, and most of this industry is doing exactly that — assembling three hosted services and calling the seams a product. What is not solved is everything the vendor decided for you: when the agent takes its turn, how long it waits before it assumes you have finished, what it does with a caller who talks over it, and what happens in the ten seconds after the line drops.
So we did not assemble ours out of someone else’s library. We built the pipeline from the ground up — the turn-taking, the interruption handling, the reconnect, the half-second budget, the expression layer that lets the same intelligence choosing the words choose the face behind them. Each of those is a decision, and a library makes it once, for everyone. Ours are ours to change: when a deployment needs the agent to wait longer before it speaks, or to hold a line through silence instead of hanging up, that is a value we own rather than a feature request to somebody else’s roadmap.
Which is the point. Owning the pipeline is what let us build it around the caller who actually exists rather than the one in the demo video — Hindi and English trading places mid-sentence, an accent nothing was tuned for, one bar of signal, a room with other people talking in it. The result is not a better demo. It is an agent still working in the fourth minute of a difficult conversation, which is the only minute that counts.
Tell us the conversation your people struggle with. We will build it into an agent and let you talk to it.