glmind
r&d studio
RU
AI consulting
Hypothesis testing
What we do
We rapidly craft MVPs and R&D solutions for businesses,
leveraging cutting-edge machine learning methodologies and other
modern scientific innovations
Interview
Finding out the challenges and looking for solutions
Prototype solution
The prototype solution for discussion
MVP
MVP, evaluation and presentation
Final fixes
Updates and future plans
Interview
Finding out the challenges and looking for solutions
Prototype
The prototype solution for discussion
MVP
MVP, evaluation and presentation
Final fixes
Updates and future plans
how we work
Most importantly, we conduct preliminary interviews, identifying
the company's pain, hypothesizing and discussing how to eliminate
it, and testing them as quickly as possible
Our mission
Our mission is to empower businesses by accelerating their
innovation pipeline. By harnessing the power of machine learning
and contemporary scientific advancements, we strive to transform
ideas into tangible MVPs and R&D solutions
Our commitment is to foster growth, inspire change, and drive
progress, helping our clients navigate the evolving digital
landscape with confidence and agility
our clients
TensorLab – Space Navigator
a Tool for the Optimization
of Collision Avoidance Maneuvers
Retentioneering – Marketing Robot
Reinforcement Learning
for automatic budget management
Marketing robot
Performed an R&D project for Retentioneering, developing a
system for automatic budget management of contextual
advertising campaigns based on reinforcement learning (RL).
Anomalies in the data storage system
Participated in the creation of a digital twin for the data
storage system and in the development of an AI-based anomaly
detector and predictor.
Collaborative art project
Completed the first stage of a collaborative art project,
creating the basic concept and character interaction in VR.
Participated in an exhibition at Khodynka Gallery.
Space Navigator
Developed MVP for startup TensorLab, including AI algorithms for maneuvers based on reinforcement learning (RL), API, database and telegram bot. Also applied AI to refine object position predictions.
Marketing robot
As part of an R&D project for Data-Driven Lab, we
implemented the proposed concept of a market simulator and
integrated the simulator into a reinforcement learning (RL)
system. We developed and trained a neural network to automate
budget management of contextual advertising campaigns and,
together with the client's team, defined metrics to evaluate
the effectiveness of the new algorithm.
Simulator for monitoring nuclear reactors
Developed a simulator of signals in a neutrino detector for
monitoring nuclear reactors based on new physical principles.
Implemented a system for selecting relevant signals using 3D
computer vision.
Antifrod for meta-trading
AI solutions for fraud detection in meta-trading.
Anomalies in the data storage system
Participated in the creation of a digital twin for the data
storage system and in the development of an AI-based anomaly
detector and predictor.
Collaborative art project
Completed the first stage of a joint art project, creating the
basic concept and character interaction in VR. Participated in
an exhibition at Khodynka Gallery.