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  • We help our clients to research advanced Artificial Intelligence Models and create High-Tech Products
MIL Team Services
RESEARCH GROUP
We create State-of-the-Art AI models and organize breakthrough research

MIL Team Research works with Technology Corporations and High-Tech Startups
MVP LAB
We make products based on AI and draw up expertise in the product

We help investors and entrepreneurs create MVP and bring it to market
COMPRESSION GROUP
We reduce the complexity of DL models and optimize the resources they consume

Optimizing for Technology Corporations and High-Tech Startups
PRODUCTS
We implement ready-made solutions, adapting them to the needs of the Customer

MIL Team products are suitable for both SMBs and Industrial companies
MIL Team is an international group of companies specializing in SotA model research and AI-based product development. We help clients integrate unique technologies into their products.
Since 2017, the main area of MIL Team work has been R&D outsource in the field of Artificial Intelligence. By 2020, we have gained sufficient experience in international projects to launch platform solutions. MIL Team today is a group of companies and laboratories with an annual turnover of over 2 mln. usd. and 50 qualified researchers.
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Results of Research Projects
Pedestrian Navigation
Indoor Navigation: recognition of human trajectories based on signals from IMU sensors.
TopicNet

Open-source framework for the automated construction of hierarchical topic models.
Dialogue Clustering System
Project: automation of contact center analytics - semantic clustering of dialogues.
NN Architecture Comparison
Area overview: models for comparing the performance of neural network architectures.
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Vacancies MIL Team
MIL Team is always open to ambitious and active employees and students!
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Open-source
TopicNet
A framework for the automated construction of hierarchical topic models.
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MIL Team Projects
The team carries out projects for R&D departments of companies both in the field of Deep Learning and in the field of applied research.
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MVP Lab
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Pedestrian Navigation
Indoor Navigation: recognition of human trajectories based on signals from IMU sensors with Pedestrian Dead Reckoning method.
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