Cinimex: Data Lab
Are your data working at full capacity?
To help answer this question, Cinimex created a dedicated unit — Cinimex: Data Lab.
Cinimex: Data Lab focuses on:
- Diagnostics and consulting — identifying the most promising automation opportunities within current business processes
- Analytics — testing automation hypotheses and offering data-driven recommendations
- Integration — developing and scaling machine learning models tailored to the customer’s specific data and business challenges
We know from experience how ambiguous data interpretation can be. That's why an expert outside perspective is critical when starting an ML project.
We’ve combined enterprise-grade development experience with the lean startup methodology — quickly validating hypotheses and assessing scaling potential.
If the desired effect isn't achieved, we provide an objective evaluation of the current data’s potential and offer recommendations for next steps.
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Easy integration
/ / We connect to any system
We embrace microservice architecture and universal APIs
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High accuracy
/ / Maximum performance from available data
Our own AI libraries, trained on internal projects and hundreds of studies, customized to your tasks and business rules
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Minimal overhead
/ / Costs as transparent as Lake Baikal
Only open-source and proprietary ML libraries. No extra licensing costs
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Full support
/ / Involvement and empathy — our only weaknesses
We’re with you from hypothesis validation to full-scale deployment
Next-Generation Data Architectur -
Lakehouse
// We build turnkey Lakehouse platforms
- Audit of the current landscape and architectural design of the Lakehouse tailored to business and IT needs
- Assembly of your stack from open-source and enterprise components. Fast deployment in cloud, on-premises, or hybrid environments
- Centralized management of data, metadata, and access. Order, transparency, and enterprise-level security
- Scaling, SLA, integration of new data sources, and support for AI/ML scenarios
Intelligent User Behavior Analysis System -
Cinimex SAPP
// Detect anomalies in user behavior before they harm your business
- Data collection from all key sources within your organization
- Anomaly detection using ML algorithms
- Creation and updating of user behavior profiles
- Generation of reports and alerts for the security team
Gauss -
Demand Forecasting & Logistics Optimization
// Accounting for even the most unusual demand factors
- Precise planning for 6/9/12 months
- Considers logistics, sales history, marketing campaigns, and regional specifics
- Customizable to your business rules
- Fast integration with your infrastructure
Faust -
Contextual Text Analysis
// Making machines understand like competent experts
- Free-form text query processing
- DSL development tailored to your business
- Optional speech-to-text support
- High accuracy in recognizing complex sentences
Vinci CV -
Industrial Computer Vision
// Custom-tailored to any technical process
- Detection of all types of PPE
- Safety zone monitoring
- Defect detection
- General safety compliance monitoring
- User identification
- Integration with any infrastructure
Columbus -
Geolocation Scoring
// Shortest path to your customers
- Risk assessment based on user location
- Considers not only location, but related factors
- Scenario analysis for potential changes
- Incorporates best practices in risk analytics
- Development of a personalized offer matrix
- Ability to integrate external data sources
Every task has a solution. Let us prove it.
Even if you haven’t found a ready-made solution for your business challenges, it’s not a problem. Our R&D and project teams will develop one from scratch, fully tailored to your company’s data.
The final result is transferred to you as intellectual property
Your solution remains yours forever
- Coverage of 40,000+ retail locations
- Considers over 100 production factors
- Analyzes all marketing activities
- Forecasts up to 6 months ahead
- Adapts to evolving business rules
«Automation and ML are in high demand, especially in retail. This system allows us to apply a lean approach to business processes while maintaining the quality we rely on»
Maksim Usmanov, Head of Non-production Retail, Stoloto


- 80+ neural network layers
- Processes thousands of objects in under a minute
- Accounts for photo/video stream noise
- Detects additional objects for future analysis
- Seamless IT infrastructure integration
- Incident assessment and shortest resolution path search
- Understands free-form queries
- DSLs integrated for domain-specific clarifications
- Evaluates solution quality and predicts support line load
- Expands knowledge base from resolved incidents
- Tree builder for quick updates to decision structures


ML Project: Segmentation 2.0
- Geographic segmentation of client base
- Portfolio monitoring of agents, brokers, and partners
- Client risk evaluation based on surroundings
«Rosgosstrakh has long used models for motor insurance contracts (OSAGO, CASCO), but we knew we could go further. About 18 months ago, we saw the need to improve our model to better assess risk and predict major losses using geosegmentation. That’s where our partnership with Cinimex began.»
Olga Veresova, Head of Analytics and Control, Rosgosstrakh