theMind

We help companies identify the real value of data

Our deep expertise in software engineering combined with understanding of industry specific data and knowledge of AI applications makes theMind the perfect technology partner to reveal, define, and build great data products and strategies.

how we can help

DATA QUALITY AUDIT AS A SERVICE

Continous professional data science analysis for your models

NATURAL LANGUAGE PROCESSING

From chatbots to advanced speech and cognitive analytics, theMind’s NLP team strives on solving complex natural language processing challenges

CUSTOM ML and AI DEVELOPMENT

Custom made solutions implemented by best in class engineers

MLOPS & INFRASTRUCTURE

Best in class MLOPS practices brought to you by an experienced Devops and ML Engineers

DATA MINING AND ANALYTICS

Advanced data analytics, clustering, pattern detection, statistical analysis, and data visualization

INDUSTRIES

theMind works with industries such as Healthcare, Finance, Energy, Retail, E-Commerce and Industry 4.0

TOOLS we use

work we did

INDUSTRY: MARKET RESEARCH

CLIENT: LEADING MARKET RESEARCH SERVICES PROVIDER (NDA)

The client is a leading global Market Research services company providing assistance in creating, distributing and analyzing surveys for a big range of corporate clients worldwide. One of the major challenges the client faced was targeting surveys to relevant audiences while there is a lot of missing information about potential respondents.theMind team together with the client’s scientists, developed a data model for filling in missing information on potential respondents’ profiles based on existing information and past behavior. There is a continuous cooperation for fine tuning and expanding this model for new types of profile questions.

INDUSTRY: HEALTHCARE

CLIENT: pharmaceutical company (NDA)

A client is a multinational pharmaceutical company.
The company wanted to develop a comprehensive R&D data infrastructure to make strategic decision based on the results data driven.
theMind team created a comprehensive data architecture and strategy that resolved the client’s strategic data implementation issues.
Created a FAIR (findable, accessible, interoperable, reusable) data architecture and implemented a peer review based socio-technical process for development and evolution of ontologies and data dictionaries
Implemented machine learning models for strategic decision making.
The team also Prototyped simulation models for in-market performance projections and in-silico experiments.

INDUSTRY: IOT

LEADING MACHINE HEALTH SOLUTION PROVIDER (NDA)

The client is a global IoT player, providing solutions for determining machine health based on various sensors. The client had multiple challenges with collecting, processing and analyzing vast amount of sensor data to help their customers predict production problems before they happen.theMind team worked with the client to build various prediction models that increased precision of client’s predictions, saving millions of dollars for their clients and also increasing prediction accuracy.


INDUSTRY: MARKET RESEARCH

CLIENT: Q&A STARTUP (NDA)

The client was developing a short Q&A platform as an alternative to traditional Market Research survey based tools. The idea was to collect answers to short questions from respondents and then analyze the cumulative results using NLP. Then various visualizations would show the crowd opinion on any given subject.theMind team cooperated with the client to develop NLP framework using both statistical and semantic tools (ElasticSearch, TensorFlow and various custom techniques).Our development team then helped the client to translate this work to a functional Web, iOS and Android application.


INDUSTRY: HEALTHCARE

CLIENT: Remote Exercise Testing (NDA)

The client is a major research hospital. Company wanted to develop a set of tools to approximate the level of cardiovascular health (VO2Max) remotely, utilizing commodity exercise bikes, sensors and mobile phones.
A process has been developed for calculating the sequence of specific exercise actions (pedal speed, gear, etc) and heart rate for the analysis of medical indicators.
The results are processed with a custom-trained machine learning model to approximate VO2Max without use of site visit or expensive gas exchange sensors.Process is currently in clinical testing; estimating at 90% accurate in comparison to gas exchange tests.

INDUSTRY: HEALTHCARE

CLIENT: Medical Device Manufacturer (NDA)

Conducted strategic analysis of a suite of hardware/software tool encapsulating an entire spectrum of robotic and digital-enabled surgery products – from surgical preparation, to surgery planning and rehearsal via AR/VR, to intra-surgery devices and post-surgical follow-up.● A comprehensive plan for integrating six disparate tools into a cohesive, fully interoperable, full-spectrum solution covering all aspects of surgery.● Shepherded parts of the system through SaMD testing and submission process.


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