Live adaptive dialogues in 4 gameplay languages.

The number of NPC "skip" dialogues decreased by 29%.

The time spent in the game increased by 8%.
GameDev
Description:
Building dialogue system models for NPC characters. The ML model analyzes the player's behavior and level in order to adapt the NPC dialogues depending on the player's accumulated experience.
Dialog systems
Speech analytics

Our cases

We have implemented more than 100 projects on various topics for our clients
90+
Recommendations

Reduction of financial losses by up to 7% in pilot sales points.

Transparency of cash transactions.

Improving employee discipline.
Anti-fraud
Identification of fraudulent actions on the part of the staff at
ĸаss zones
Video analysis
Description:
Automation of control
We have doubled the speed of creating a customer card in CRM, reducing the number of manual typos.

They completed checklists using artificial intelligence, increasing the assessment speed from 30 minutes to 1 minute.

We have optimized the process of drawing up a sales plan from 1 week to 1 day.

Conversion rate increased by 12% after feedback
to sales managers
We have reduced the speed of checking students' homework from hours to minutes.

We have created a system of checklists, according to which the AI Assistant evaluates the quality of the work performed.

We increased student engagement thanks to recommendations, and the timeliness of assignments increased by 18%.
Document recognition
Evaluating the quality of a call center's work based on checklists
Forecasting the purchase of real estate
Dynamic pricing
Development
Description:
We have developed models that allow us to sell apartments at the most optimal market value, create a monthly and quarterly sales plan, and improve the speed and quality of customer service through an AI Assistant.
The accuracy of the forecast for SKU exceeded 82%.

Minimizing the shortage and excess of goods on the market.

Increased marginality by 4% due to dynamic pricing.
The forecast accuracy is 87%.

Key markers
of cancer risk have been identified.

The possibility of preventive response and
informed planning of screening
Retail
Description:
Building a short-term sales forecast based on sales history.
Price optimization based on demand elasticity.
Sales forecasting model
Intelligent pricing
Predicting cancer risks
Screening
Predictive analytics
Pharmacology
The analysis of 214 medical confessions in 3200 patients and the construction of a pattern detection model.
Description:
An AI Assistant for checking homework
Recommendations for students
We have developed models that allow us to evaluate students' work, give grades, and make recommendations on learning.
Education
Description:
Assessment of the quality of work based on checklists
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