Week 12 · in progress
Automatic handoff live now
Teaching the agent to escalate on its own — low recognition confidence, rising frustration, repeated "I didn't get that." Until now, handoff was caller-initiated only.
A real, growing business runs its customer support on it right now. We show you the wins, the failures, and the exact path from cloud to a fully autonomous, off-cloud system. Month by month. Nothing hidden.
Global Optic is a mid-sized fiber ISP and data-center operator in eastern Ukraine. It was growing fast — and its support team couldn't keep up. Not enough people, and a flood of technical questions: when does the repair crew arrive, when is the fiber spliced, why is the router offline.
Then the war made it physically impossible. Shelling and rolling blackouts meant agents working from home lost power, internet and their SIP lines mid-shift. The dashboards were there. The people were there. The ability to answer the phone often was not.
So we were forced to build something that never loses power, never sleeps, and never leaves the city. Necessity wrote the spec. Like the drones Ukraine now builds better than anyone, this was forged under pressure — and it shows.
It handles the real work of an ISP help desk end to end, and hands off to a human the moment something sensitive or out of scope comes up.
It already closes about four out of five conversations on its own.
And it works in virtually any major language — including Chinese — switching to whatever the caller speaks.
Right here you can talk to the same kind of support agent we run in production — the one answering real calls for Global Optic today. Ask it anything: an outage, a bill, a dead router.
It won't be flawless, and that's the point — every question makes it sharper. As the shared question-and-answer base grows, the answers get more precise. That's how serious AI actually improves: out loud, in front of you, with a real team behind it. We're not a wrapper, and we're not one person.
Text and voice are both live. Hit Talk, allow your mic, and just speak — the voice runs on a sub-second real-time engine.
This is the honest part. The system improves every week. Here's the trail — updated as it happens.
Roughly half of callers still ask for a human, mostly out of habit. That number is falling. We'll keep posting it either way.
Teaching the agent to escalate on its own — low recognition confidence, rising frustration, repeated "I didn't get that." Until now, handoff was caller-initiated only.
Ukrainian is brutal for most models. We retuned the speech stack until comprehension on real calls felt natural in both Ukrainian and Russian.
Account numbers, amounts and dates were getting mangled. Reworked how digits are heard and read back. Mostly solved.
Wired into the live CRM and billing during active blackouts. Rough, but answering — and never going dark.
The scheme is universal. Any normal, internet-dependent business that is drowning in repetitive support can run it — an ISP, a hosting or data-center provider, a small booking or rental platform, a utility, a clinic network.
You don't need a research lab or a hyperscaler budget. You need a system that knows your business and answers the phone at 3 a.m. — so you're not paying a night shift to sit and wait for it to ring.
One working blueprint, transplantable to any business that lives on the phone.
We proved it on the hardest possible customer — a telecom under fire. Everything easier than that is, well, easier.
We don't ask you to leap. Most clients begin on a managed cloud deployment to prove value fast, then converge — at their own pace — onto a private, autonomous system that lives entirely on their own hardware.
Stand it up fast on managed infrastructure. See it handle real calls before committing to anything.
The real work: wiring it into your CRM, billing, telephony and field systems until it behaves like staff.
Migrate onto a dedicated GPU system, off the public cloud. Your calls and your data never leave your walls.
The self-serve platforms hand you a builder and tell you to bring your own telephony. The done-for-you vendors keep your calls on their cloud and charge enterprise prices. The open-source frameworks expect you to staff an engineering team.
We sit in the gap: a turnkey, integrated contact center that can run fully autonomously on your own hardware — built for you, not handed to you as a toolkit.
Not an off-the-shelf box. A proprietary CRM refined over a decade, with a self-written billing engine. The agent stands on real operational software.
We use well-known, battle-tested speech and language models — and own the integration around them, where the actual difficulty lives.
The endgame is an autonomous, off-cloud deployment. No third-party servers in the call path. Sovereignty by design, not as an add-on.
Bonus, not the point: we can also supply DID numbers and inbound origination across 100+ countries — the telephony under the agent, if you want it from one roof. The contact center is the engine; the numbers are the cherry on top.
Before a single customer call was answered, our chief architect, Igor, had one hard question: which engine could actually hold a real conversation and live inside the operator's billing, CRM and dashboards? So he tested the field — one by one.
Most of it got ruled out — not because the tech is bad, but because it didn't fit a private, deeply-integrated, always-on contact center for a real operator.
ElevenLabs came first. The voices are stunning — tunable, lifelike. In early tests people honestly couldn't tell it wasn't human. That was the “wow.” But past simple scripts, into real multi-step work and deep integration, it wasn't built for the job.
OpenAI’s realtime voice looked great, with a headline around 5¢/min. In our own usage, once the fine print landed, it worked out closer to ~30¢/min.
Google’s Gemini ran into its own version of the same wall.
Grok’s voice was the shortest trial of all — on our scenarios it topped out around thirty percent and kept sliding back into the wrong language no matter how we rewrote the rules. We dropped it in a day.
After a long, frustrating search, the engine we run today — the one you just spoke to in “Try it live” — is the first that felt right: fast, real-time, and built to live inside someone else’s systems. It’s a low-profile, rarely-used choice today — not a household name — and that’s exactly why it fits. We’ll walk a serious partner through it directly; we just don’t hand competitors a shopping list.
Draft — to be verified and expanded with Igor.
This section fills up as we go: real (anonymized) call recordings, founder and engineer interviews, walkthroughs of what we changed and why, and reviews from people we've talked to.
Don't wait for a recording — the agent is live up in “Try it live.” Ask it anything, right now.
Ask the live agentWe go open. If you're running a support operation and wondering whether you could do this — book a conversation. We'll tell you honestly what's easy, what's hard, and what it would take. Consultations may be free or paid depending on scope; we'll be straight about it.
Want to try it on your own support? We're taking on a small group of beta-testers right now — and beta-testers get a full implementation consultation, free.
You're a fellow operator — an ISP, data center or telco? We'll sell and adapt the whole system to you, including the CRM and billing we've built over ten years. We'll show you a live demo; price is a conversation.
This site wasn't built ten years ago - it was built a couple of months ago, so we get it: ticking boxes is tedious, and some of these questions may not even fit you. Do it the easy way: press the button below and just tell us, in your own voice, who you are and what you need - in whatever language suits you. Ask anything. We'll get back to you within days.
Voice AI for contact centers is a multi-billion-dollar race growing north of 30% a year. Almost everyone is selling cloud software. We're shipping a private, integrated, battle-tested system with a paying client already in production.