Digital technologies

Your assistant in artificial intelligence

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Data science

Using large language models to process and analyze your text data, create chatbots, and generate content
Language Models (RAG)
Models that help you find the right customers based on your database
Look-a-like models
Models that generate or analyze your audio files
Speech Analytics (ASR, TTS)
Models that predict the behavior of your customers or events
Scoring models
Made projects
100+
Models that allow you to detect objects in photos and videos and analyze their behavior
Photo and video analytics

Our Products

7
CI/CD, Docker, Kubernetes
Deploy
6
5 Ways to check the quality and reliability of a model before Launching it
Validation
8
Visualization of results and quality control: PowerBI, Redash, etc.
Reporting
5
Creating different types of models using various, including neural network tools
Modelling
2
Methods: Checking for data completeness, Checking for consistency, Checking
for data validity, Checking for Data relevance, Checking for Data correctness, Checking for data uniqueness Tools: python, pandas, Dask, Modin, PySpark
Data Quality
3
Methods: generation of synthetic variables, agrigation, coding, normalization, smoothing
Features Engineering
4
Methods: Checking the information significance and stability of features, dimensionality reduction, regularization
Features Selection
Data Collation /
Data Warehouse
Tools: Apache Airflow, Clickhouse, Postgresql, MongoDB, S3, Rabbit, Kafka, Google BigQuery, BeautifulSoup, RESTful API
1
From idea to implementation, our development process goes through the following stages of work and the application of methods and tools:

Advanced technology

We doubled the speed of creating customer profiles in the CRM system while reducing the number of manual errors.

We implemented AI-powered checklist completion, increasing evaluation speed from 30 minutes to just 1 minute.

We optimized the sales planning process, reducing the time required from 1 week to just 1 day.

Document recognition
Evaluating the quality of a call center's work based on checklists
Forecasting the purchase of real estate
Dynamic pricing
Description:
We develop models that enable selling apartments at the most optimal market value, creating sales plans for the month and quarter, and improving the speed and quality of customer service
Development
Founder of the Home Credit Bank company
I collaborated with the team to create a website for our credit bank, and was satisfied with the result. The design turned out to be modern and user-friendly, and the functionality fully meets our requirements.
Anatoly Bogdanov
Reduced primary loan delinquencies by 25%.

Decreased defaults by 3%.
Lending
Predicting trustworthiness
Антифрод
Description:
A loan is a financial instrument that allows people and companies to receive funds to achieve their goals. Using credit correctly can help you achieve your dreams, but it's important to keep in mind the risks and obligations.
Anti-fraud
Predicting trustworthiness
Lending
We develop models that, based on credit bureau data, questionnaires, checklists, and fingerprinting, predict the probability of customers defaulting on initial and repeat loans for 7+, 15+, 30+, and 60+ days, as well as falling into deep default.
Description:

Our cases

We have implemented more than 100 projects on various topics for our clients
90+
Recommendations
MVP in the first
3 months

About us

+ 13 years
of ML experience
We work on projects in various industries, including finance, healthcare and retail, ensuring the implementation of AI that really brings results.
We combine the long-term experience of experts and modern machine learning algorithms to create solutions that help businesses automate processes.
10 years
We work in the market
100+
Completed projects
Guaranteed results
Our partners who support:
Contact us
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