Voice agents that answer, interview, take orders and fill forms by speech, then hand the conversation to a person when it matters.
Answers the routine questions, hands over the rest with full context.
Structured screening interviews, 24/7, scored instantly.
Navigate, search and fill forms by speaking.
Consultations turned into structured notes.
Private and local first for critical and sensitive data. Partnered cloud models only when a task needs them, behind a policy gate, with audit logs and monitoring you can see.
What we use for voice AI, and what each piece is for.
A working AI product in your users' hands in seven days, built on our proven components.
No-obligation free MVP for startups. Scope agreed in the free consultation; you keep it either way.
Built your app with AI coding tools but it isn't secure or won't scale? We review it free and fix the critical security and scaling issues free.
Whisper, Deepgram and provider STT, streaming
Natural voices in 100+ languages
Native real-time models for the lowest latency
Interruptions, silence and barge-in handled
Claude, GPT or Gemini with your context layer
Rules that pass the call and a summary to a person
WebRTC and WebSocket in any site or app
Inbound and outbound calls via SIP providers
Voice notes and in-app voice
Completion, satisfaction, topics and handoffs
Disclosure and retention rules applied
Private cloud or on-premise options
Typical phases and timelines; your plan is agreed after the free consultation.
What the agent handles and when it hands over
1 weekOne channel, one use case, real callers
2–4 weeksMore channels, languages and integrations
2–6 weeksWeekly review of calls and outcomes
OngoingFrom products we built and run, and engagements we measured.
8,420 interviews in the first quarter, 94% completion, 4.8/5 candidate satisfaction; screening 100 candidates went from 2–3 weeks to 24–48 hours.
One script tag adds voice navigation, Q&A and form filling in 100+ languages.
Ambient scribing turns the consultation into SOAP notes; 2.5 hours saved per doctor per day.
The technical detail, for your engineers.
Streaming speech-to-text, an LLM turn manager, and text-to-speech, or native speech-to-speech models where latency matters most.
Target under one second from end of speech to start of reply, using streaming and interruption handling.
Rules for sensitive topics, low confidence or customer request pass the call and a summary to a person.
Browser (WebRTC/WebSocket), telephony, WhatsApp and mobile; private cloud or on-premise options.
Yes. We disclose it, in line with local rules.
100+ for speech; we test quality for your languages before launch.
It hands over to a person with a summary, by your rules.
Yes: it reads and writes through your systems with permissions.
Current voices are close to human; we let you choose and test them with real callers.
Replies typically start in about a second; we measure it on your use case.
It can take bookings through your systems; payments go through your existing secure payment flow.
Only if you choose, with disclosure and retention rules you set.
No. We use private models or enterprise agreements that forbid training on your data.
Book the free two-hour consultation. We look at one real workflow and tell you whether this technology fits.
Yes. Engagements we take on carry our 10× productivity guarantee on the agreed workflow, or the fee comes back.
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assets/img/projects/ai-interviewer-pro.pngVoice-first AI interviews that screen candidates around the clock
8,420 interviews conducted in the first quarter
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assets/img/projects/agentfillai.pngAdd a voice agent to any app with one script tag
10x faster task completion
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assets/img/projects/clinifyai.pngAI scribe for doctors, connected companion app for patients
2.5 hrs saved daily per doctorTwo free hours on a real workflow. We'll tell you whether it fits, and what it would take.
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