Zpoken

Data science company focused on Artificial Intelligence applications

Kyiv, Ukraine

Company

51-100 Employees

Contact

ABOUT

We have developed a lot of own technologies yet: facial recognition, objects tracking, speech recognition & analytics, predictive models and even artificial consciousness. Our key value – is an experience and ready-to-use models, that requires lower costs for development.

LANGUAGES

Russian

Native or bilingual proficiency

Ukrainian

Native or bilingual proficiency

English

Native or bilingual proficiency

Deutsch

Limited working proficiency

SKILL DETAILS

Blockchain & CryptoCurrency

CryptoCurrency, BlockChain, Bitcoin

DAG

Technology

160 ILS / hr

VoIP

Developing VoIP infrastructure from scratch with the integration of different parts (call centers, calls recordings, SIP clients, audio transcriptions, calls CRM systems, uniMRCP servers, IVRs and smart voice chatbots)

Docker

AI, Artificial Intelligence

Chatbot

Machine Learning

We have more than 5 years of experience in developing machine learning models and neural networks education. Some of our products are:
- Face recognition system (API & SDK)
- Speech recognition in English, Chinese, Russian, German (API & SDK)
- Road situation recognition (vehicles, people, signs, bikers, traffic lights – SDK)
- Peoples behavior recognition (SDK)
- and much more

Image Processing

Computer Vision

We have developed CV models for people, faces, animals, vehicles, road situation, bags, store goods recognition with implementation in different industries.

Neural Networks

Speech, Voice Recognition

Developed own speech recognition model with a full backend infrastructure for English, German, Chinese and Russian languages. Also, we have developed voice analytics, emotional analytics, based on peoples voices and alerts system based on audio analytics

Deep Learning

Autonomous Vehicle Technology

Google Cloud Platform

Integration Development

Natural Language Processing (NLP)

Developed smart chatbots using NLP neural models integrated in banks call centers.