AI Analytics and reports
Moving from simple visualization to predictive modeling. Automated pipelines, instant anomalies, and forecasts - instead of manual spreadsheets once a month.
TRANSFORMATION
From Excel to predictive analytics
From manual spreadsheets and chaos to automated pipelines and accurate forecasts.
Pain
Manual collection in Excel/Sheets
AI Transformation
Real-time automatic pickups
Pain
Outdated reports (once a month)
AI Transformation
Instant anomaly notifications
Pain
80 hours per month for reporting
AI Transformation
4 hours per month for everything
BUSINESS VALUE
AI analytics effectiveness in numbers
We implement solutions that turn statistics into profit and strategic advantage.
Accuracy of forecasts
Saving budgets
Accuracy of forecasts
AI analyzes historical data and market trends to ensure planning accuracy of up to 95%. You know the result before you invest.
Time savings (ROI)
Up to 15 hours of weekly free time for marketers and analysts. Instead of manual data copying, we focus on strategic decisions.
Instant response
Real-time anomaly detection. The system notifies about KPI deviations instantly, not a week after the event.
TECHNOLOGIES
Tech stack
We use advanced data analysis and visualization tools to identify hidden patterns.
Data.
Automation of data collection
The only source of truth
AI combines data from all your channels into one automatic stream - no manual copying and merging.
Maximum speed
Automated flows allow you to receive data in real time without delays for manual processing.
Tools.
Digital analytics tools
Three key modules that turn data into strategic decisions.
AI AGENT
AI analyst
Understands natural language queries and instantly builds the necessary visualizations. Ask as a colleague and get a graph.
MONITORING
Media Radar
24/7 media and social media monitoring. Real-time analysis of the tone of brand mentions. Stay ahead of crises.
PREDICTION
Trend Finder
Identify future trends faster than your competitors with auto-insights and deep pattern analysis.
Speed
Reports in 4 hours instead of 80
80 h
Traditional method
4 hours
With the use of AI
24/7 sentiment analysis
AI analyzes the emotional context of comments and news in real time. Alerts you to reputational risks before they go viral.
Instant anomalies
A sharp drop in conversion, an abnormal surge in expenses, deviations from the plan - the system detects and notifies without the participation of an analyst.
Implementation
How to get started with AI analytics
Four steps to building an intelligent reporting system.
Audit
Audit of current data sources - what is available, where it is stored, how up-to-date and of what quality.
Cleaning
Noise filtering - removing irrelevant information and structuring arrays for AI.
Stack
Selecting and customizing tools (BI, LLM, ETL) for your processes and team.
Training
Training the team to formulate prompts and work with an AI analyst to maximize ROI.
«Data is the new oil, but AI is the internal combustion engine that makes it useful»
Process
Our approach: Pilot-First
Quick start, hypothesis testing, scaling.
Pilot Launch
Quickly deploy a prototype on limited data to test accuracy and ROI.
Deep Discovery
A detailed audit of all knowledge sources, building architecture and mapping processes.
Engineering
Development of a full-scale system with support for Multi-agent workflows and APIs.
Deployment
Industrial launch, staff training, and full migration of corporate knowledge.
Growth
Support, model training, and expansion of the system to new business verticals.

