AI-Powered Solutions for Healthcare, Education, and Business

The future of healthcare is shaped by those
who trust in innovations that break free from ordinary methods
creating pathways to insight-driven, transformative medical care

Healthcare AI Solutions

See how AI-driven solutions can optimize healthcare processes by transforming medical data, enhancing clinical decision-making, and supporting patient care through advanced insights

Medical Data Transformation

We apply AI-driven solutions, including OCR (Optical Character Recognition) and IDR (Intelligent Document Recognition), for automatically extracting text from images, PDFs, and handwritten records. This converts unstructured information into structured technical data formats, ensuring compatibility with Electronic Health Records (EHR) and improving data accessibility for further AI processing.

Data Normalization and Validation

We use NLP (Natural Language Processing) and GPT models for normalizing and validating extracted data, verifying accuracy and compliance. This reduces errors and allows the collected information to be used for generating recommendations based on large-scale analysis of patient health history, enabling evidence-based clinical decisions.

AI Model Training on Academic Resources

We leverage the capabilities of GPT models trained on standard medical educational materials, creating intelligent knowledge bases. These solutions accelerate the search for comorbidities, verify diagnoses and treatment recommendations, providing accurate and reliable information for decision-making in any clinical cases.

AI-Driven Clinical Decision Support (CDS)

We employ machine learning algorithms to analyze large volumes of clinical data, identify risks, comorbidities, and optimal treatment approaches. These solutions help doctors make faster, more accurate clinical decisions, enhancing patient safety and minimizing errors.

Technical Implementation
All these AI solutions operate as add-ons to existing software systems in clinics and hospitals, ensuring seamless integration and improved medical process efficiency

Autonomy of Solutions

All AI solutions function as autonomous add-ons, not integrating into the existing system architecture, ensuring interaction without altering the core structure.

Data Security

The solutions comply with security standards (HIPAA, GDPR, ISO/IEC 27001, Data Protection Act 2018, etc.) among others, guaranteeing patient data protection during processing.

Maintaining Stability

AI solutions integrate without altering the functionality of existing systems, ensuring continuity of current infrastructure operation. This maintains software performance and reliability, even during new add-on implementation.

Process Optimization

AI solutions automate workflows and accelerate data processing. Compatible with existing software, they adapt easily to current processes, working alongside without interfering with the core system.

AI Technologies we apply

Machine Learning

Voice Recognition

Object Recognition

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AI for Healthcare

We use classical machine learning and neural networks for processing data sets to find automated solutions for complex analytical tasks to predict, warn, and prevent.

Health Indicators

Signs of Medical Conditions

Data Sets

Mental Health Signs

Treatment Trackers Data

Analysis

Warning about potential episodes

Notifications and Alerts

Results

Reminders

Recommendations

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Voice Recognition

We apply voice recognition tools to send inquiries and notifications, complete forms, and more to simplify the interaction within healthcare applications for patients and healthcare providers.

Vocal form completion

Voice data entry

Ways of Operating

Specific content creation

Speech-to-Text
Text-to-Speech
Voice Bots

Sending requests, inquiries, etc.

Health indicators recording

Realization

Health information recording

Audio instructions, reminders, messages

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3rd Party Services for Voice Recognition

We use third-party services to connect Voice Recognition functionality to custom
solutions within the healthcare industry.

Vonage

TensorFlow

Amazon Transcribe

Twilio

Google API

Microsoft Speech Recognition

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Object Recognition

Using image recognition algorithms according to the set standards to create a knowledge database that gains more value in the long term. The method is based on the increased involvement of healthcare providers and patients in this initial process.

Smart camera usage

Face scans

Action

Scanning body parts

Scanning blister packs, labels, etc.

Object
Recognition

Detection of face masks, mood, etc.

Person identification and
security increase

Purpose

Identification of a potential
medical condition

Medication recognition and
saving relevant data

Slide

3rd Party Services for Object Recognition

We add Object Recognition functionality to our healthcare projects through different
third-party services listed below and others.

Wikitude

Amazon Rekognition

Google - Vision AI

Microsoft API

Azure Custom Vision

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AI for Healthcare

We use classical machine learning and neural networks for processing data sets
to find automated solutions for complex analytical tasks
to predict, warn, and prevent.

Data Sets

Health Indicators
Signs of Medical Conditions
Mental Health Signs
Treatment Trackers Data
Analysis

Results

Warning about potential episodes
Notifications and Alerts
Reminders
Recommendations

Voice Recognition

We apply voice recognition tools to send inquiries and notifications, complete forms, and more to simplify the interaction within healthcare applications for patients and healthcare providers.

Ways of Operating

Vocal form completion
Voice data entry
Specific content creation
Speech-to-Text
Text-to-Speech
Voice Bots

Realization

Sending requests, inquiries, etc.
Health indicators recording
Health information recording
Audio instructions, reminders, messages

3rd Party Services for Voice Recognition

We use third-party services to connect Voice Recognition functionality to custom
solutions within the healthcare industry.
Vonage
Twilio
Google API
TensorFlow
Amazon Transcribe
Microsoft Speech Recognition

Object Recognition

Using image recognition algorithms according to the set standards to create a knowledge database that gains more value in the long term. The method is based on the increased involvement of healthcare providers and patients in this initial process.

Action

Smart camera usage
Face scans
Scanning body parts
Scanning blister packs, labels, etc.
Object
Recognition

Purpose

Detection of face masks, mood, etc.
Person identification and security increase
Medication recognition and saving relevant data
Identification of a potential medical condition

3rd Party Services for Object Recognition

We add Object Recognition functionality to our healthcare projects through different
third-party services listed below and others.
Wikitude
Amazon Rekognition
Microsoft API
Google - Vision AI
Azure Custom Vision
Shaping the future of education requires a vision beyond conventional limit
where innovation opens doors to learning that grows
with each student’s journey

Educational AI Solutions

Explore how our AI-driven solutions enhance educational processes, providing tools for efficient content creation, personalized learning insights, and streamlined assessment

Automated Creation of Learning Materials

We use AI-driven solutions, including NLP and content generation models, to automatically create learning materials, homework assignments, quizzes, and cumulative assessments. This reduces teachers’ workload and ensures a steady flow of relevant educational content tailored to curriculum standards.

Grading and Feedback Automation

Our solutions employ GPT models for automated grading and feedback, accurately assessing student responses and providing insights for improvement. This process saves time for educators, allowing them to focus more on direct student engagement.

Adaptive Learning Insights

We integrate AI-powered analytics to monitor student performance over time, identifying learning gaps and suggesting targeted materials. This adaptive approach supports personalized learning pathways, enabling better educational outcomes.

Educational Resource Management

We apply AI tools to create and manage question banks, sharing resources among educators to foster collaborative teaching. By organizing knowledge bases derived from academic content, we provide reliable references and ensure consistent assessment standards.

Historical Data Integration for Insights

We leverage AI to analyze historical data on student performance, past educational materials, and assessment responses. This creates a robust knowledge base that generates valuable insights for educators, helping them refine teaching strategies and identify trends in student progress.

Knowledge Base Generation with AI

By incorporating AI models, we build a dynamic knowledge base from accumulated educational resources. This resource aids in generating data-driven recommendations, supporting schools and teachers with valuable information for curriculum development and student support.

Technical Implementation
All these AI solutions operate as add-ons to existing software systems in clinics and hospitals, ensuring seamless integration and improved medical process efficiency

Autonomy of Solutions

All AI solutions function as autonomous add-ons, not integrating into the existing system architecture, ensuring interaction without altering the core structure.

Data Security

The solutions comply with security standards (HIPAA, GDPR, ISO/IEC 27001, Data Protection Act 2018, etc.) among others, guaranteeing patient data protection during processing.

Maintaining Stability

AI solutions integrate without altering the functionality of existing systems, ensuring continuity of current infrastructure operation. This maintains software performance and reliability, even during new add-on implementation.

Process Optimization

AI solutions automate workflows and accelerate data processing. Compatible with existing software, they adapt easily to current processes, working alongside without interfering with the core system.

AI Technologies we apply

Machine Learning

Voice Recognition

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Slide

Machine Learning for Education

We apply machine learning and neural networks to process the learning parameters for improving the quality of knowledge evaluation, teaching, and more

Student test results

Signs of material understanding

Data Sets

Misconception signals

Teacher performance indicators

Analysis

Problem warning

Notifications and Alerts

Results

Reminders

Recommendations

Slide

Voice Recognition

We use it to save time for the teacher or student to create their work notes and comments on student responses, fill out forms, etc., to facilitate user interaction with the platform.

Dictation of content

Audio files recording

Methods of work

Designing Guidelines for Users

Speech-to-Text
Text-to-Speech
Voice Bots

Creating work notes

Attaching audio comments

Implementation

Workflow instructions

Audio instructions

Slide

3rd Party Services for Voice Recognition

We use third-party services to connect Voice Recognition functionality to custom solutions for
education businesses and organizations.

Vonage

TensorFlow

Amazon Transcribe

Twilio

Google API

Microsoft Speech Recognition

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Slide

Machine Learning for Education

We apply machine learning and neural networks to process the learning parameters for improving the quality of knowledge evaluation, teaching, and more

Data Sets

Student test results
Signs of material understanding
Misconception signals
Teacher performance indicators
Analysis

Results

Problem warning
Notifications and Alerts
Reminders
Recommendations

Voice Recognition

We use it to save time for the teacher or student to create their work notes
and comments on student responses, fill out forms, etc., to facilitate user interaction with the platform.

Methods of work

Dictation of content
Audio files recording
Designing Guidelines for Users
Speech-to-Text
Text-to-Speech
Voice Bots

Implementation

Creating work notes
Attaching audio comments
Workflow instructions
Audio instructions

3rd Party Services for Voice Recognition

We use third-party services to connect Voice Recognition functionality to custom solutions for
education businesses and organizations.
Vonage
Twilio
Google API
TensorFlow
Amazon Transcribe
Microsoft Speech Recognition
In the dynamic world of business, progress comes from embracing innovation
transforming data into meaningful strategies
that foster growth and adaptability

Business AI Solutions

Discover how AI solutions provide data-driven insights and maintain dynamic knowledge bases, helping businesses continuously adapt to evolving needs and drive growth

Automated Customer Support

We use AI-driven solutions, including NLP, knowledge retrieval models, and AI-powered chatbots and virtual assistants, to automate customer support. Leveraging historical data from customer interactions, reference materials, and knowledge resources, these tools provide quick, accurate responses to inquiries and handle complex queries across various channels, enhancing customer satisfaction and reducing response times.

Corporate Training Enhancement

We apply AI-driven solutions to provide adaptive learning modules, assess employee performance, and deliver personalized feedback through chatbots, virtual tutors, and interactive platforms. By leveraging training history and progress data, we help companies implement targeted, effective training programs that enhance skill development and improve operational efficiency.

Personalized Business Insights

We use advanced analytics and AI models to process large datasets from customer interactions and employee training outcomes, generating data-driven insights for strategic decision-making. By training AI on historical data, we enable businesses to forecast sales trends, predict customer demand, and identify key areas for improvement, helping to optimize support strategies and refine training programs.

AI-Powered Content Creation for Marketing

We apply AI-driven tools to generate targeted marketing content, including social media posts, product descriptions, and promotional emails. By tailoring content to specific audience segments, we help businesses maintain consistent, engaging messaging across channels, saving time for marketing teams and enhancing customer engagement.

Technical Implementation
All these AI solutions operate as add-ons to existing software systems in clinics and hospitals, ensuring seamless integration and improved medical process efficiency

Autonomy of Solutions

All AI solutions function as autonomous add-ons, not integrating into the existing system architecture, ensuring interaction without altering the core structure.

Data Security

The solutions comply with security standards (HIPAA, GDPR, ISO/IEC 27001, Data Protection Act 2018, etc.) among others, guaranteeing patient data protection during processing.

Maintaining Stability

AI solutions integrate without altering the functionality of existing systems, ensuring continuity of current infrastructure operation. This maintains software performance and reliability, even during new add-on implementation.

Process Optimization

AI solutions automate workflows and accelerate data processing. Compatible with existing software, they adapt easily to current processes, working alongside without interfering with the core system.

AI Technologies we apply

Machine Learning

Voice Recognition

Object Recognition

previous arrow
Slide

Machine Learning for Business

We collect and process business data based on the client’s requirements for simplifying the comprehension of complex sets of information, predicting outcomes, and preventing issues

Business data

Sales Indicators

Data Sets

Inventory monitoring

Sensors data etc.

Analysis

Alerts

Recommendations

Results

Notifications

Reports & Predictions

Slide

Voice Recognition

The primary purpose is to save users' time interacting with the platform and increase
convenience in learning its contents.

Dictation of content

Audio files recording

Methods of work

Voice form filling

Speech-to-Text
Text-to-Speech
Voice Bots

Data recording through forms

Text content creation by user

Implementation

Listening to created content

Audio comments creation

Slide

3rd Party Services for Voice Recognition

We apply these third-party services to add Voice Recognition functionality to software solutions.

Vonage

TensorFlow

Amazon Transcribe

Twilio

Google API

Microsoft Speech Recognition

Slide

Object Recognition

We use this to simplify and automate the analysis of items and people to provide
suggestions, recommendations, warnings, notifications, and more.

Smart camera feed

Face scans

Action

Profiling data

Items in smartphone camera

Object
Recognition

Insights

Recommendations

Purpose

Warnings

Suggestions

Slide

3rd Party Services for Object Recognition

We work with a number of reputable third-party services that allow us to connect Object
Recognition functionality to our solutions.

Wikitude

Amazon Rekognition

Google - Vision AI

Microsoft API

Azure Custom Vision

next arrow
Slide

Machine Learning for Business

We use classical machine learning and neural networks for processing data sets to find automated solutions for complex analytical tasks to predict, warn, and prevent.
and comments on student responses, fill out forms, etc., to facilitate user interaction with the platform.

Data Sets

Business data
Sales Indicators
Inventory monitoring
Sensors data etc.
Analysis

Results

Alerts
Recommendations
Notifications
Reports & Predictions

Voice Recognition

The primary purpose is to save users' time interacting with the platform and increase
convenience in learning its contents.

Methods of work

Dictation of content
Audio files recording
Voice form filling
Speech-to-Text
Text-to-Speech
Voice Bots

Implementation

Data recording through forms
Text content creation by user
Listening to created content
Audio comments creation

3rd Party Services for Voice Recognition

We We apply these third-party services to add Voice Recognition functionality to software solutions.
Vonage
Twilio
Google API
TensorFlow
Amazon Transcribe
Microsoft Speech Recognition

Object Recognition

We use this to simplify and automate the analysis of items and people to provide
suggestions, recommendations, warnings, notifications, and more.

Action

Smart camera feed
Face scans
Profiling data
Items in smartphone camera
Object
Recognition

Purpose

Insights
Recommendations
Warnings
Suggestions

3rd Party Services for Object Recognition

We work with a number of reputable third-party services that allow us to connect Object
Recognition functionality to our solutions.
Wikitude
Amazon Rekognition
Microsoft API
Google - Vision AI
Azure Custom Vision
In the vast business landscape, the edge belongs to those
who discovered the worth of custom-tailored approaches
over one-size-fits-all

Software Types We Develop

Web Applications

Mobile Applications

External APIs

Extension Apps

Accessory Apps

Companion Apps

Browser Extensions

Embedded Widgets

Plug-in / Add-on / Add-ins

Desktop Apps

Business and Software Distribution Models

B2B / B2C / C2C

Custom-tailored software for various business models to cover the needs of Businesses and Startups

SaaS

Cloud-based or Self-hosted Industry-wide software solutions delivered via flexible and scalable SaaS model

On-Premises

Autonomy-focused software solutions with supreme security, complete control, and integration

Compliances

Include global & country-specific regulations

Technologies

Based on expertise and time-tested approaches

AI Technologies

Advanced solutions tailored to each project

End-to-End SDLC Scope Covering

Requirements

Design

Development

Testing

Deployment

Maintenance

Slide thumbnail

Ukraine is Open for IT

Authority Backing

Government support of the IT industry through talent retention and tax reductions (lower in comparison to US/EU regions)

Local Specialists

A great pool of IT talent gives us the ability to build skilled teams tailored to deliver software projects

Cost Saving

No headache with recruiting, team management, retention, taxes, or other mandatory expenses

Contact Us

Contact us, and we’ll be in touch to discuss custom-tailored AI-driven solutions that align with your needs
Software Development Center
Stryiska St, 108,
Lviv, L'vivs'ka oblast, 79026, Ukraine

Have any questions? Drop us a line via form below



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