Voice AI that sounds indistinguishable from humans

We replace call center employees with virtual agents and guarantee an increase in efficiency
Our clients
Our clients
All clients
About the company
We provide an AI driven, fully autonomous contact center. Our virtual agents are able to support complex conversations and simulate emotions. In 300 million dialogues, 99% of respondents did not recognize the customer service agent as being an AI driven virtual agents.
4 years on the Conversational AI market
We have replaced more than 100,000 contact center employees with virtual agents
60 + employees
15+ years of Telecom experience
Global presence
We launch IT platforms for global telecom operators
We have offices in San Jose, Jakarta, Moscow, Nur-Sultan, Nizhny Novgorod
50% of our team are AI experts
"We believe that the most valuable thing for a person is freedom, so we create AI technology that helps to obtain it".
A Contact Center AI is a customer service center where human operators are replaced with virtual agents. They understand natural human speech, can respond in a conventional form and are more efficient than human agents. The Contact Center AI works with calls, messengers, and e-mail. It is integrated with telephony and CRM systems, and is not limited by the number of lines.
What is a Contact Center AI?
Virtual agent
Virtual agent
Virtual agent
Contact Center AI
Expert
CRM
Calls
Messengers
E-mail
How it works
1. Data
2. Conversational Flow
3. Training the NLU Engine
4. Post-training
Data analysis and conversational flow development
Training on small datasets
After several thousand calls we guarantee 95% recognition accuracy
1 week
1 week
1 week
Only 600 conversation records are required
Technologies
Calls
Messengers
E-mail
API
High-precision Natural Language Understanding algorithms that can work on small datasets
It takes just 3 weeks to create virtual agents. Special expertise is not required because the design environment is separated from the platform core
Omnichannel Hub
NLU Engine
Conversation Builder
Comparison with traditional call centers
01
Contact Center AI provides omnichannel experience
Calls, messengers, e-mail
Traditional call centers use only one communication channel — calls. A call center employee cannot send information to Whatsapp, Telegram, or Viber.
02
Contact Center AI processes thousands of lines simultaneously
The client will never hear "All of our agents are currently busy"
Companies lose customers just because clients do not want to wait in line. Research shows:
44% are not ready to wait more than 2 minutes
13% are not ready to wait at all
04
03
Virtual agents never get tired
Always cheerful and positive AI handles hundreds of questions and objections
Call center agents get tired of monotonous work and are often demotivated and rude. Human memory is limited. A person can only remember the answers to 10 questions and 10 ways to respond to objections.
A virtual agent is an ideal Sales Manager
It is programmed with the best sales and communication techniques
Human agents are a challenge to control. They often make mistakes, respond to objections, or choose their intonation incorrectly. Call center agents do not always follow sales techniques and scripts. Only a few call center employees can use sales techniques professionally.
05
06
Low cost
Flexibility
Average Contact Center AI minute cost is ~ $0.07
Considering operators' remuneration of labor, the average traditional call center minute cost is ~ $0.15 per minute.
Easily adjusted to meet your needs
A traditional contact center cannot be adjusted quickly, especially during promotions or emergencies (Christmas, Black Friday, COVID-19). One must hire and train additional staff.
Comparison with traditional call centers
01. Contact Center AI provides omni channel experience
Calls, messengers, e-mail

Traditional call centers use only one communication channel — calls. A call center employee cannot send information to Whatsapp, Telegram, or Viber.
02. Contact Center AI processes thousands of lines simultaneously
The client will never hear "All of our agents are currently busy"

Companies lose customers just because clients do not want to wait in line. Research shows:
44% are not ready to wait more than 2 minutes
13% are not ready to wait at all

03. Virtual agents never get tired
Always cheerful and positive AI handles hundreds of questions and objections

Call center agents get tired of monotonous work and are often demotivated and rude. Human memory is limited. A person can only remember the answers to 10 questions and 10 ways to respond to objections.
04. A virtual agent is an ideal Sales Manager
It is programmed with the best sales and communication techniques

Human agents are a challenge to control. They often make mistakes, respond to objections, or choose their intonation incorrectly.
Call center agents do not always follow sales techniques and scripts. Only a few call center employees can use sales techniques professionally.

05. Low cost
Average Contact Center AI minute cost is ~ $0.07

Considering operators' remuneration of labor, the average traditional call center minute cost is ~ $0.15 per minute.
06. Flexibility
Easily adjusted to meet your needs

A traditional contact center cannot be adjusted quickly, especially during promotions or emergencies (Christmas, Black Friday, COVID-19). One must hire and train additional staff.
"As AI technologies came to the market, traditional call centers became ineffective. They are outdated".
Application
Customer service
Lead Qualification
Surveys/NPS
Recruitment
We increase customer satisfaction level by the quality of processing requests and always free operators
Problem:
Customers get upset and even leave the brand when they cannot reach customer service. But even when they reach customer service, they get unprofessional low-quality consultation (rudeness, non-constructive dialogue, non-solved problem).
Solution:
We launch an AI to process the requests on the 1st line:
— Classification of the problem
— Providing a solution
— If it is not possible - redirection to the expert
Result:
Satisfaction level increases
No queues on the line:
— Processing requests — х3 times
— During promotions and holidays — х10 times

Excellent quality of handling requests:
— 80% of requests are solved by AI on the 1st line
— 20% of requests are redirected to experts
Поддержка клиентов
Повышаем удовлетворенность покупателей за счет отсутствия очередей и качества обработки обращений
Customer service
We increase customer satisfaction level by the quality of processing requests and always free operators
We reduce the cost of qualified lead and at the same time the sales conversion rate increases, and the expenses decrease
Problem:
The high cost of human labor combined with low sales conversion rates result in high lead costs.
Solution:
To use AI virtual agents trained to incorporate the most powerful sales techniques of top sales performers.
Result:
The cost of qualified lead is 2.4 times lower
Sales conversion rate is higher by ~20%
Costs are 2 times lower
Телемаркетинг
Снижаем стоимость лида при повышении конверсии и снижении затрат
Lead Qualification
We reduce the cost of qualified lead and at the same time the sales conversion rate increases, and the expenses decrease
We increase the audience coverage and completion rate when conducting surveys and evaluations
Problem:
A lot of human resources are required to conduct high-quality surveys and measure NPS. Non-professional staff usually makes it even worse. As a result, they have low completion rate and frustrated consumers.
Solution:
We use an AI based on the best survey and NPS measurements methods, which can perform classification with 97% accuracy.
Result:
Completion rate +30%
Increased audience coverage
Improved surveys objectivity
Surveys/NPS
We increase the audience coverage and completion rate when conducting surveys and evaluation
We give HR more flexibility and help fill open positions faster
Problem:
Because of the lack of HR personnel, multiple positions are difficult to fill at the same time. The inability to react in a timely manner results in the loss of qualified candidates and positions remaining open.
Solution:
To implement AI at the initial stage:
— Primary contact
— Conducting screening
— An interview with HR
— Candidate support
Result:
Open positions are filled 2x faster
An increased number of candidates with higher quality interviews
HR is focused on interviews
Recruitment
We give HR more flexibility and help fill open positions faster
C-Title
Задача:
C-Goal
Кейс:
C-Case
Итог:
C-Result
Прослушать запись
For partners
For enterprises
If you want to create your own virtual agents using the technologies of the future
For large corporations that need everything at once
$0.004
$0.015
$0.004
/ 15 sec
от
/ 15 sec
+
The cost of the Neuro.net Contact Center AI platform
The cost of the Neuro.net Contact Center AI platform
Service cost for creating and supporting virtual agents by Neuro.net team
The solution includes a set of agent creation tools:
Virtual agents creating services include:
Conversational flow creation environment
NLU Engine learning environment
API for integration with external systems
Communication channels: calls, messengers, e-mail
Conversational flow design
Datasets preparation and training NLU Engine for specific cases
Integration with customer systems
Pricing
We provide free training and issue a certificate of Neuro.net Certified Partner.
We guarantee the pilot project launch within 3 weeks.
/ 15 sec
For enterprises
For partners
For enterprises
For large corporations that need everything at once
$0.015
$0.004
от
/ 15 sec
+
The cost of the Neuro.net Contact Center AI platform
Service cost for creating and supporting virtual agents by Neuro.net team
Virtual agents creating services include:
Conversational flow design
Datasets preparation and training NLU Engine for specific cases
Integration with customer systems
We guarantee the pilot project launch within 3 weeks.
/ 15 sec
For partners
If you want to create your own virtual agents using the technologies of the future
$0.004
/ 15 sec
The cost of the Neuro.net Contact Center AI platform
The solution includes a set of agent creation tools:
Conversational flow creation environment
NLU Engine learning environment
API for integration with external systems
Communication channels: calls, messengers, e-mail
We provide free training and issue a certificate of Neuro.net Certified Partner.
Try Contact Сenter AI
1. We provide a free pilot
2. You give feedback
3. And Pay As You Go (don't get locked into big contract)
Career
Our team brings together scientists, engineers, and experts in neural networks fields, machine learning, and telecommunications. We are creating AI technologies that will forever change the way people communicate. In our laboratories, we are improving artificial intelligence, making it indistinguishable from a human, and enabling it to recognize emotions and be emotional.
Languages: English, Spanish, French, German, Arabic, Indonesian (Bahasa), Vietnamese, Tagalog (Filipino)
Linguist
Data scientist
Knowledge of Python and ML-stack, basic Linux knowledge, experience with PostgreSQL
Conversational flow designer
Experience in scripts development, basic algorithm understanding, and large amounts of data analysis experience
Python developer
Python programming experience, Linux knowledge, PostgreSQL experience, understanding of the OSI model and high-level protocols
If you want to become a part of history and tell your descendants how you were changing the world with the Neuro.net team, contact us
Contacts
North America
San Jose, California
111 N Market St #300
Tel. +1 415 713 1889
E-mail: sanjose@neuro.net
Europe
Moscow,
12 Presnenskaya Emb, Fl 39
Tel. +7 495 137 76 87
E-mail: moscow@neuro.net
Southeast Asia
Jakarta,
164 Jl Prof Dr Satrio, Fl 9
Tel. +62 21 5092 8520
E-mail: jakarta@neuro.net
Central Asia
Copyright © 2020 Neuro.net Inc. All rights reserved.
R&D
Become a partner
If you want to create virtual agents by yourself, please leave us your contact information and we will contact you.
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Work for Neuro.net
Send us your CV and our HR Department will contact you.
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Try Contact Сenter AI
  1. We provide a free pilot
  2. You give feedback
  3. And Pay As You Go (don't get locked into big contract)
By clicking the button, you accept the terms of personal data processing
Customer service
Problem:
Customers get upset and even leave the brand when they cannot reach customer service. But even when they reach customer service, they get unprofessional low-quality consultation (rudeness, non-constructive dialogue, non-solved problem).

Solution:
We launch an AI to process the requests on the 1st line:
— Classification of the problem
— Providing a solution
— If it is not possible - redirection to the expert

Result:
Satisfaction level increases
No queues on the line:
— Processing requests — х3 times
— During promotions and holidays — х10 times

Excellent quality of handling requests:
— 80% of requests are solved by AI on the 1st line
— 20% of requests are redirected to experts
Telemarketing
Problem:
The high cost of human labor combined with low sales conversion rates result in high lead costs.

Solution:
To use AI virtual agents trained to incorporate the most powerful sales techniques of top sales performers.

Result:
The cost of qualified lead is 2.4 times lower
Sales conversion rate is higher by ~20%
Costs are 2 times lower
Surveys/NPS
Problem:
A lot of human resources are required to conduct high-quality surveys and measure NPS. Non-professional staff usually makes it even worse. As a result, they have low completion rate and frustrated consumers.

Solution:
We use an AI based onthe best survey and NPS measurements methods, which can perform classification with 97% accuracy.

Result:
Completion rate +30%
Increased audience coverage
Improved surveys objectivity
Recruitment
Problem:
Because of the lack of HR personnel, multiple positions are difficult to fill at the same time. The inability to react in a timely manner results in the loss of qualified candidates and positions remaining open.

Solution:
To implement AI at the initial stage:
— Primary contact
— Conducting screening
— An interview with HR
— Candidate support

Result:
Open positions are filled 2x faster
An increased number of candidates with higher quality interviews
HR is focused on interviews