MIL Team engineering division is aimed to provide impact-oriented projects
MIL is a team of AI experts working on a basis of the Machine Intelligence Laboratory of MIPT. We develop internal and external digital products for companies of various sizes.

WE HELP COMPANIES
1
CHECK BUSINESS AND TECHNOLOGICAL HYPOTHESES
2
QUICKLY CREATE PROTOTYPES (MVP)
3
ADD ML FUNCTIONS TO DEVELOPED PRODUCTS FOR RAPID GROWTH
We use the experience of working on Research and Applied projects for both large companies and startups at the Seed and Pivot stages. We implement a flexible approach to the partners' tasks at every step of their activities.
WE HELP COMPANIES OF DIFFERENT INDUSTRIES
MIL Team goal – implementation of a business result for partners.
Model building and development as the tools to achieve business goals.
OUR SUPER POWER
WORKFLOW
Print document recognition, search engines, and business process automation
CLIENT
ANALYTICS
Customer behaviour analysis: outflow forecasting, next best offer, customer base segmentation.
PREDICTIVE
ANALYTICS
Predicting measurable indicators: ranging from sales volumes to price indicators.
VIDEO
ANALYTICS
Control of business processes: ranging from personal protective equipment to the stages of the business process
CHAT-BOTS AND AUTOMATION APPLICATIONS
Building scripts and models for communicating with customers in sales or service, making decisions based on information from the client.
AND SO ON...
We undertake the implementation of various tasks, since we have extensive experience in solving applied projects.
EXAMPLES OF REQUESTS FROM OUR PARTNERS
THE LACK OF EXPERTS
There are not enough full-time specialists in the team for the timely solution of the assigned tasks. Engaging an outside team on important deferred tasks will help you move up the roadmap.
NEED TO SOLVE A SPECIFIC PROBLEM
We are often given an assigned and alienated task that can be solved by external forces.
NEED OF QUICK BUSINESS GROWTH
The rapid growth of the business leads to the need of obtaining fast solutions for scaling business processes. An external team will help close the lack of specialists, competencies or structure in solving problems.
NEED TO TAKE INTO ACCOUNT BUSINESS-PROCESSES IN THE CERTAIN DECISION
A large number of analysis tasks includes the subject context of solving the problem, as well as going beyond the usual ML-formulations. Bringing in people who understand the needs of the business helps to limit the creativity of the DS team.
LACK OF COMPETENCES
Solving problems in a novel direction can greatly slow down the work of the department. An external team with specialized expertise will move quickly towards solving problems.
NEED TO PLAN STUFF REDUCTION
The difficult economic situation in the international and Russian markets can lead to unplanned staff layoffs. Termination of interaction with an external team is faster and cheaper.
OUR CASES
WHAT WILL BE USED UNDER THE HOOD OF YOUR PRODUCT
What we use to code
Main programming language: Python
Working with data: PostgreSQL, MongoDB
Distributed computing:
Spark, Hadoop
Notebooks: Colab, Jupyter, H2O
Model packaging and data flow control: Kubernetes, Docker, Airflow.
Profile frameworks
Neural network frameworks: PyTorch (prototyping), TensorFlow (production), TensorFlow lite (import to devices)
Working with data: pandas, NumPy
Profile libraries: BigARTM, TopicNet, gensim, nltk, DeepPavlov, SpaCy, OpenCV, SciPy, etc.
Experiment management: Wandb, MLFlow, Tensorboard.
Code Style and solution delivery
  • Styling your code as python scripts using PEP 8
  • High level of code readability

Delivery options:
  • Docker + REST API;
  • Web-service + Frontend (for example, Python Flask + React);
  • Python-scripts;
  • Python libraries.
EXAMPLES OF IMPLEMENTED RESEARCH PROJECTS
HOW WE COOPERATE WITH OUR PARTNERS
1
Problem statement and business context
Defining a set of tasks, the solution of which is relevant for business.
Discussing the wishes and limitations that the company has.
2
NDA and cooperation agreement
Signing a non-disclosure agreement.
We will go through the procedure for registering a company as a counterparty, if necessary.
Signing a framework cooperation agreement.
3
Assessment and project objectives
Defining the goals of the business in solving the problem and the indicators of the project's success.
Preparing a technical task and a commercial proposal for the stages of solving the problem.
4
Contract
Discussing the terms of the contract and signing on both sides.
5
The data and task related questions
Preparing a data slice for solving the problem.
Discussing the questions that arose during the analysis of the problem.
6
Solution and delivery
Carrying out several iterations of solving the problem.
Delivering ready-made results according to the agreed project roadmap
7
Delivery and acceptance of the project
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