Enterprise Voice AI · Kazakhstan / CIS

Voice AI for call centers

How it works
%
cost reduction
< ms
latency
.97%
SLA uptime

Поговорите с ИИ-агентом

Live demo · 7 seconds

Введите номер — мы позвоним вам в течение 7 секунд, и вы поговорите с ИИ-агентом.

Only the NeuroCall team sees the number — no mailing lists, no spam.

BankingE-commerceTelecomLogisticsHealthcareReal estatePublic sector
01Products

One platform — four products.

The flagship is the voice agent. The rest are built on the same in-house models and available separately.

Flagship

Voice agents

Inbound and outbound calls, contact-base campaigns, scenarios and CRM integration — from the first ring to the CRM record.

  • Inbound
  • Outbound
  • Campaigns
  • Scenarios
  • CRM
Capability

Call analytics

  • Transcripts of every conversation
  • Structured outcomes into your CRM
  • Quality and load metrics
Один фундаментСобственные моделиSTTLLMTTSOn-premise
02How it works

Not a demo bot. Production voice infrastructure.

Every call passes four layers — from the ring tone to the CRM record.

How a call works section

Voice becomes structured data inside your perimeter — not a fragment of a conversation leaves for foreign servers.

  1. Stage 1

    Telephony

    The call arrives through your PBX — Asterisk, FreeSWITCH, Avaya, Cisco. No need to rebuild your telephony.

  2. Stage 2

    Speech

    Our own STT recognizes Kazakh and Russian in real time — no audio leaves for external services.

  3. Stage 3

    Reasoning

    The agent understands the question, follows the scenario and calls your systems — CRM, status checks, order capture — answering by your business rules.

  4. Stage 4

    Voice and action

    TTS replies with a voice from your catalog, conversation data lands in the CRM, recordings stay in your perimeter.

Speed
<600 ms response latency
KZ / RU
Kazakh and Russian in one call
Data residency
Your perimeter or a Kazakhstan cloud
Telephony
Works with your PBX — nothing to change
03Use cases

It does the math, not just the talking.

The agent answers calls at night, on weekends and on holidays. Covering the same schedule with people takes 4–5 operators.

Карточка «Банки»

Банки

Первая линия по картам, платежам и заявкам — без ожидания на линии.

  • Блокировка и перевыпуск карты
  • Статус платежа и заявки
  • Пиковые дни без экстренного найма
  • Язык клиента
Learn more
Карточка «E-commerce»

E-commerce

Статусы заказов, возвраты и жалобы, включая пики распродаж.

  • «Где мой заказ»
  • 11.11 и чёрная пятница
  • Возвраты в разговоре
  • Эскалация с контекстом
Learn more
Карточка «Телеком»

Телеком

Биллинг, тарифы, SIM и первая линия поддержки.

  • Баланс, тариф, детализация
  • SIM без визита в офис
  • Ночные обращения
  • Передача с расшифровкой
Learn more
04Demo

Hear how it speaks.

Below is a transcript of a real agent conversation. Press play and read the lines as they arrive.

  • Kazakh switches to Russian mid-conversation — the way real customers actually speak.
  • Every reply fits the <600 ms budget — no longer a pause than a human operator's.
  • This is a test call with a scripted scene; in production the agent lives on your premises.
NeuroCall Voice Agent
<180мс00:00
Ожидание
05Deployment

Works with your PBX. Nothing to rebuild.

  1. Discovery
  2. Sandbox
  3. Pilot
  4. Load testing
  5. Scaling

Enterprise delivery: discovery, sandbox, a pilot on selected scenarios, load testing, then scaling across the lines.

Telephony, CRM and webhooks — in detail
Секции «Deployment» и «Безопасность»
  • SIP trunk / PBX
  • Speech layer
  • Logic and script guardrails
  • CRM / Core banking
  • Call recordings
  • Analytics
06Security

Your calls never leave your perimeter.

In the enterprise delivery the platform moves to you entirely: recognition, the model and synthesis run on your servers.

On-premise

Deployed on your infrastructure

The entire platform is installed inside your perimeter. Audio, transcripts and recordings stay in your network — not a single packet with customer voice leaves it.

Own stack

Own models, not someone else's API

Recognition and speech synthesis are our own. No OpenAI, no ElevenLabs — not a fragment of a conversation reaches a foreign server, and you don't depend on their limits, pricing or data policies.

No training

We don't train on your data

Your customer conversations never feed fine-tuning — neither our models nor, certainly, anyone else's.

Localization

Data stored where the law requires

Recordings and the database remain on your side — Kazakhstan's Personal Data Law (No. 94-V) localization requirement is satisfied by the installation itself. An NDA and a processing agreement are signed before the pilot starts.

Access

Connected to your identity provider at implementation

Login through your authentication system, role-based permissions and an action log are configured as part of implementation — under your access policy, not on top of it.

07FAQ

Questions people ask before we meet.

Short answers to what usually comes up before a pilot. Didn't find yours — ask in the form below; an engineer answers, not a support bot.

  • Yes, on one platform. Inbound support and hotline lines as well as outbound campaigns over a contact base, with schedules, retries and do-not-call lists. Recordings, transcripts and campaign outcomes land in one place.

  • With what you already have: SIP trunks and PBX systems — Asterisk, FreeSWITCH, Avaya, Cisco. The agent sits on top of your infrastructure; no need to rebuild your telephony or change operators.

  • Kazakh and Russian — in one model, with mid-sentence language switching: the way real customers actually speak. We train the models ourselves for this region rather than configuring someone else's multilingual API.

  • Only your infrastructure sets the limit. The platform deploys on your servers and scales with them — there are no foreign cloud quotas or tariffs.

  • Inside your perimeter. Audio, transcripts and the database stay on your side — Kazakhstan's Personal Data Law (No. 94-V) localization requirement is satisfied by the delivery model itself.

  • Yes. Recognition, the language model and synthesis are ours and run locally: inside the customer's perimeter the agent makes zero outbound calls. Neither calls nor texts reach foreign servers.

  • Seven days on your data: we analyze 50–100 real dialogs, build an agent for your scenario, connect a test environment and measure the share of calls handled without an operator (automation rate), average handling time (AHT) and cost per minute. The go/no-go is decided by numbers, not a presentation.

Pilot offer

In 7 days we'll show the economics on your calls.