Brains Technology Solutions
We create everything that your enterprise needs from training data to working with unstructured text and images for machine learning.
Industries We Serve
Artificial intelligence (AI) is having a transformative impact on a wide range of industries. Here are some of the industries that we serve
Healthcare
AI is being used to diagnose diseases, develop new drugs, personalize treatment plans, and even perform surgery. For example, AI-powered systems can analyze medical images to identify cancer cells with greater accuracy than human doctors.
Finance
AI is used in fraud detection, risk management, algorithmic trading, and wealth management. AI-powered systems can analyze vast amounts of financial data to identify patterns of fraud and make more informed investment decisions.
Manufacturing
AI is used to optimize production processes, predict equipment failures, and improve quality control. AI-powered systems can monitor factory machines in real time and identify potential problems before they occur.
Retail
AI is used to personalize customer experiences, recommend products, and optimize pricing and inventory management. AI-powered systems can analyze customer data to recommend products that they are likely to be interested in.
Transportation
The transportation industry is undergoing a significant revolution due to artificial intelligence (AI). AI is being implemented in various aspects of transportation, leading to improvements in efficiency, safety, and convenience.
Customer Service
The customer service industry is experiencing a major boost thanks to AI (Artificial Intelligence). AI is automating tasks, personalizing interactions, and offering 24/7 support, ultimately creating a more efficient and satisfying customer experience.
Cybersecurity
AI ( Artificial Intelligence )is used to detect and prevent cyberattacks, identify malware, and protect sensitive data. AI-powered systems can analyze network traffic in real time and identify suspicious activity.
Media and Entertainment
AI is used to create personalized content recommendations, generate realistic special effects, and power virtual reality experiences. AI-powered systems can analyze user data to recommend movies, TV shows, and music.
Education
AI is used to personalize learning experiences, provide feedback to students, and automate administrative tasks. AI-powered systems can create personalized learning plans for students and provide them with feedback on their work.
Achieve Your Tech Job in a Few Simple Steps
Basic Training
Lay the foundation for success with our essential courses. From fundamental principles to practical skills, our Basic Training programs empower you for a confident start in your learning journey.
Live Project Training
Immerse yourself in real-world scenarios with our dynamic courses. Gain hands-on experience, collaborate with industry professionals, and elevate your skills in a live, project-based learning environment
Resume building
Craft a compelling professional story with our guidance. Learn to showcase your skills, accomplishments, and experiences effectively, ensuring your resume stands out in today's competitive job market.
Mock Interviews
Hone your interview skills through realistic simulations. Receive constructive feedback from industry experts, boosting your confidence and readiness for actual job interviews. Elevate your career prospects with practice that makes perfect.
Live Interviews
Step into the real-world interview experience. Engage in live interview sessions with industry professionals, gaining invaluable insights and refining your skills to succeed in actual job scenarios.
Placements
Connect with our extensive network of industry partners for exciting career opportunities. Benefit from our dedicated placement support to launch your professional journey in the dynamic fields of Data Science and AI.
AI with AWS solutions
1. Machine Learning Services
AutoML: Provides automated machine learning capabilities to build models without extensive ML expertise.
Feature Store: Centralized repository to store, share, and manage features for ML models.
Model Monitoring: Continuously monitors deployed models to ensure they perform accurately.
2. AI Services
Natural Language Processing (NLP): Extracts insights from text such as sentiment analysis, entity recognition, and key phrase extraction.
Custom Classification and Entity Recognition: Customizes models to understand domain-specific vocabulary.
Image and Video Analysis: Detects objects, scenes, and activities in images and videos.Facial Analysis: Identifies faces, compares faces, and performs facial recognition.
Content Moderation: Detects inappropriate content in images and videos.
Text-to-Speech (TTS): Converts text into lifelike speech using deep learning.
Neural TTS: Produces high-quality, natural-sounding speech using neural networks.
Conversational AI: Builds conversational interfaces for applications using voice and text.
Chatbots: Integrates with various platforms to create chatbots and virtual assistants.
Speech-to-Text: Converts speech into text accurately.Real-time
Transcription: Provides real-time transcription for live audio streams.
Language Translation: Provides real-time language translation for applications.
Custom Terminology: Incorporates domain-specific terms into translations.
3. AI-Powered Analytics
Business Intelligence (BI): Provides data visualization and business intelligence reporting.
ML Insights: Integrates machine learning to offer predictive analytics and insights.
4. AI-Driven Personalization and Recommendations
Personalized Recommendations: Builds real-time recommendation systems for applications.
Custom Models: Creates models tailored to specific business needs and datasets.
5. Industrial AI
Anomaly Detection: Detects anomalies in visual data for industrial quality inspection.
Custom Models: Builds custom models for specific use cases without requiring extensive ML expertise.
Predictive Maintenance: Uses ML to detect abnormal machine behavior and predict maintenance needs.
6. AI for Healthcare
Health Data Management: Aggregates and normalizes health data from various sources.
Machine Learning: Applies machine learning to derive insights from health data.
7. AI-Enabled Security
Threat Detection: Uses ML to detect potential threats and anomalies in AWS accounts and workloads.
Data Security: Uses ML to discover, classify, and protect sensitive data stored in AWS.
8. Custom AI/ML Solutions
Elastic Inference: Reduces cost of inference by attaching low-cost GPU-powered inference acceleration to Amazon EC2 and SageMaker instances.
9. Edge AI
Edge Computing: Extends AWS services to edge devices for data collection and analysis.
Machine Learning Inference: Deploys machine learning models to edge devices for local inference.
10. AI for Document Processing
OCR and Data Extraction: Automatically extracts text and data from scanned documents.
Forms and Tables: Recognizes and processes forms and tables in documents.
AI with AWS solutions
1. Machine Learning Services
AutoML: Provides automated machine learning capabilities to build models without extensive ML expertise.
Feature Store: Centralized repository to store, share, and manage features for ML models.
Model Monitoring: Continuously monitors deployed models to ensure they perform accurately.
2. AI Services
Natural Language Processing (NLP): Extracts insights from text such as sentiment analysis, entity recognition, and key phrase extraction.
Custom Classification and Entity Recognition: Customizes models to understand domain-specific vocabulary.
Image and Video Analysis: Detects objects, scenes, and activities in images and videos.Facial Analysis: Identifies faces, compares faces, and performs facial recognition.
Content Moderation: Detects inappropriate content in images and videos.
Text-to-Speech (TTS): Converts text into lifelike speech using deep learning.
Neural TTS: Produces high-quality, natural-sounding speech using neural networks.
Conversational AI: Builds conversational interfaces for applications using voice and text.
Chatbots: Integrates with various platforms to create chatbots and virtual assistants.
Speech-to-Text: Converts speech into text accurately.Real-time
Transcription: Provides real-time transcription for live audio streams.
Language Translation: Provides real-time language translation for applications.
Custom Terminology: Incorporates domain-specific terms into translations.
3. AI-Powered Analytics
Business Intelligence (BI): Provides data visualization and business intelligence reporting.
ML Insights: Integrates machine learning to offer predictive analytics and insights.
4. AI-Driven Personalization and Recommendations
Personalized Recommendations: Builds real-time recommendation systems for applications.
Custom Models: Creates models tailored to specific business needs and datasets.
5. Industrial AI
Anomaly Detection: Detects anomalies in visual data for industrial quality inspection.
Custom Models: Builds custom models for specific use cases without requiring extensive ML expertise.
6. AI for Healthcare
Health Data Management: Aggregates and normalizes health data from various sources.
Machine Learning: Applies machine learning to derive insights from health data.
7. AI-Enabled Security
Threat Detection: Uses ML to detect potential threats and anomalies in AWS accounts and workloads.
8. Custom AI/ML Solutions
Elastic Inference: Reduces cost of inference by attaching low-cost GPU-powered inference acceleration to Amazon EC2 and SageMaker instances.
9. Edge AI
Edge Computing: Extends AWS services to edge devices for data collection and analysis.
Machine Learning Inference: Deploys machine learning models to edge devices for local inference.
10. AI for Document Processing
OCR and Data Extraction: Automatically extracts text and data from scanned documents.
Forms and Tables: Recognizes and processes forms and tables in documents.