Cinimex: Data Lab
Are you getting the most out of your data?
To answer this question, we have created Cinimex: Data Lab.
Cinimex: Data Lab offers diagnostics and consulting services 
— identification of the most promising business areas to automate 
— testing current automation hypotheses and development of recommendations; integration
— development and scaling of machine learning models specific to the customer’s tasks and data profile.
We know first hand that data interpretation can be quite ambiguous. This is why a professional input from an outside perspective is of utmost importance when launching a machine-learning project.
We have blended our expertise in Enterprise development with Lean Startup methodology, so we can test the hypotheses and evaluate scaling potential in quick time.
If no effect is found, we provide an unbiased outlook based on the current data with our suggestions for what can be done.
// Tapping into any system
We adhere to microservices architecture and universal API.
// Delivering maximum results possible
Proprietary AI-libraries, trained on our projects and hundreds of studies, which can be adapted to your task and business rules.
// Your expenses will be transparent like lake Baikal
We use nothing but Open Source and proprietary ML libraries. No need to spend on additional licenses.
// Commitment and empathy are our only downsides
We will be by your side from testing the hypothesis and through to tech support for the ready solution.
Demand evaluation and optimization of logistics -
Gauss library
// We will take due account of even the most unconventional demand factors
- We will ensure accurate 6/9/12-month planning
- We will factor in your logistics, sales history, marketing campaigns, regional aspects
- We will adapt our library to your business rules
- Rapid integration with your infrastructure
Context text analysis -
Faust library
// We will train your machine to the level of a competent specialist
- Free-form text request processing
- DSL tailored to your business specifics
- Optional Speech-to-text
- High accuracy recognition of complex sentences
Industrial computer vision -
Vinci CV library
// Custom solution for any technical process
- Detection of all types of personal protection equipment
- Monitoring of safety exclusion areas at manufacturing facilities
- Defect control of goods
- Monitoring of general labor safety
- User identification
- Integration with any infrastructure
Geolocation scoring -
Columbus library
// We will help you find a shortcut to win clients
- Risk assessment based on user’s geolocation
- Taking into account not only the geolocation, but also adjacent factor
- Scenario analysis for potential changes
- Leaning on best practices in risk analysis
- Development of individual client offering matrices
- Possibility to add any external data into the evaluation model
There is a solution to any task. You will see.
Even if you haven’t found a ready-made solution, which would meet your business needs, it is not a problem. Our R&D and project teams will develop it for you from scratch, with due account for the company’s data profile.
Project deliverables will be your intellectual property.
You get your solution for good.
- Scope – over 40,000 retail outlets
- Over 100 factors of production taken into account
- Analysis of all marketing activities
- Forecast for up to 6 months
- Can be adapted to new business rules
“The demand for automation and machine learning services is extremely high, especially in retail. Our current system has enabled a prudent approach to business processes and the level of quality our work required.”
Maxim Usmanov, Head of Non-Production Retail, Stoloto
- Over 80 layers neural network
- Several thousand objects processed in less than a minute
- Adjustment for noise in photo/video stream
- Additional objects are registered for further analysis
- Integration with IT infrastructure
- Incident assessment and search for a shortcut solution in the knowledge base
- Understanding of free form queries
- Integrated DSL to deal with unconventional incidents
- Evaluation of how the problem was handled and customer support demand forecast
- Growing the knowledge base with the outcomes of incidents solved
- Constructor, which allows to rapidly add new options to the solutions tree
ML-project: Segmentation 2.0
- Geography-based segmentation of customer base
- Monitoring and portfolio performance management for agents, brokers and partners
- Customer risks based on their environment
“Rosgosstrakh” has long been using models for creating third-party liability and comprehensive coverage contracts, but there is always room for more. A year and a half ago we realized we needed a model, which would enable the insurer to assess risks more accurately and forecast severe losses with help of geosegmentation. That is how our cooperation with Cinimex began…”
Olga Veresova, Head of Department of Analytics and Control, Rosgosstrakh