Key Offerings

Doing more with Ai
  • Unlock hidden potential within client data.
  • Craft tailored solutions for growth through actionable insights.
  • Optimize operations, predict trends, and enable data-driven decisions.
System Design
  • Architect robust machine learning pipelines for efficient project delivery.
  • Design scalable systems from data ingestion to model deployment.
  • Utilize cutting-edge tools and best practices for streamlined ML journeys.
Ai Development
  • Champion end-to-end AI solutions that bring client visions to life.
  • Bridge the gap between data and impact, creating bespoke AI applications.
  • Leverage cutting-edge technology and deep domain expertise.
Training Excellence
  • Offer cutting-edge AI training programs, from introductory workshops to immersive deep leanings.
  • Provide participants with the knowledge and skills to unlock the full potential of AI in their businesses.
KEY FEATURES OF PURPLEBLUE.AI

  • Adaptive: Learn as information changes, resolve ambiguity, and tolerate unpredictability.
  • Interactive: Interact easily with users, allowing them to define their needs comfortably.
  • Iterative and Stateful: Aid in problem definition, remember previous interactions, and return suitable information.
  • Contextual: Understand, identify, and extract contextual elements from various sources of information.
PURPLEBLUE.AI CATERS TO A WIDE RANGE OF INDUSTRIES, INCLUDING


Agriculture

  • Soil Monitoring: Real-time monitoring of soil parameters like moisture, texture, and temperature using sensors and IoT devices.
  • Crop Management: Visual sensing AI for crop health tracking, yield prediction, disease detection, and weed removal.
  • Climate Analysis: Smart IoT-based decision making for humidity, rainfall, wind speed, and temperature.
  • Pest Management: Predictive models for pest outbreaks and personalized pest control strategies.
  • Agricultural Robotics: Driverless tractors, automated weed spraying, and robotic crop harvesting.


Banking and Finance

  • Fraud Detection: Real-time transaction monitoring to identify suspicious patterns and prevent fraud.
  • Credit Risk Assessment: Predictive models for assessing borrower creditworthiness.
  • Customer Experience: Personalized banking services, chatbots for customer support, and AI-assisted video banking.
  • KYC (Know Your Customer): Automated document verification and facial recognition for enhanced KYC processes.
  • Loan Underwriting: AI-powered loan underwriting based on comprehensive borrower data analysis.


Healthcare

  • Drug Discovery: Data analytics and machine learning for identifying potential drug candidates.
  • Personalized Medicine: Tailored treatment plans based on individual patient characteristics.
  • Healthcare Chatbots: Patient assistance for appointment scheduling, medication information, and symptom explanations.
  • Telemedicine: Secure telemedicine platforms and remote patient monitoring systems.


AI based Tax & Revenue Intelligence System

  • Better tax coverage
    By analyzing multiple data sources, Al aids in the identification of tax evaders, fake entities, under-reporting cases, etc., widening the tax net.
  • Improved filing frequency
    Intelligent nudges and prompts encourage voluntary compliance and regular filing discipline among taxpayers as per due dates.
  • Faster processing of returns and refunds
    Automating validation, matching and verification steps enables quicker processing of returns and refund disbursals.
  • Targeted audits
    Al-enabled risk profiling allows focus on high revenue-yielding audits compared to arbitrary selection earlier. This improves ROI.
  • Increased tax collections
    Owing to the above benefits, monthly Tax collections can consistently increase yoy, pointing to increased efficiency.
  • Reduced tax evasion
    Al makes it harder for tax evaders to go undetected, discouraging fraudulent activities over the long run.
  • Higher perceived compliance costs
    Intensive use of data and technology increases the perceived likelihood of getting caught for non-compliance, altering cost/benefit considerations. Al for tax compliance can steadily transform it into an efficient and future-ready tax system.


Transportation

  • Road Traffic Accident Prediction:

    • AI algorithms can analyze historical accident data, traffic flow patterns, weather conditions, and other factors to predict potential accident hotspots.
    • Early detection allows for proactive measures like increased traffic surveillance, speed limit adjustments, and targeted safety campaigns.

    Intelligent Vehicle Detection

    • Real-time detection of broken-down vehicles on highways using vision-based systems.
    • Alerts can be sent to authorities for prompt removal and traffic flow optimization.


Cybersecurity

  • Zero-Day Attack Detection
    Analyzing network traffic and system logs to identify and mitigate unknown threats.
  • Insider Threat Detection
    Analyzing employee behavior and communication patterns to detect suspicious activity.
  • Predictive Risk Analysis
    Identifying and prioritizing vulnerabilities for timely patching and mitigation.
  • IoT Device Security
    Developing AI-based intrusion detection systems to protect IoT devices from cyberattacks.
  • Biometric Authentication
    Enhancing the security and accuracy of biometric authentication systems using deep learning.
  • Behavioral Biometrics
    Continuous authentication using keystroke dynamics and touchscreen dynamics for enhanced security.
  • Face Recognition with Masks
    Developing face recognition systems that work effectively even when users are wearing masks.
  • Cyber Threat Detection
    Utilizing AI to analyze various data sources to detect and respond to sophisticated cyberattacks.
  • User and Endpoint Anomaly Detection
    Identifying and mitigating anomalous user and endpoint behavior.
  • Dark Web Monitoring
    Monitoring the dark web for illegal activities and threats using AI-powered tools.
  • AI-Powered Web Application Firewall
    Enhancing web application security by analyzing traffic and classifying it as genuine or malicious.
  • Network Intrusion Detection and Prevention
    Developing AI-powered systems to detect and prevent network intrusions beyond traditional signature-based methods.
  • Data Leakage Prevention
    Utilizing text and image steganalysis techniques to detect hidden data and prevent data leakage.


Human Resource Management

  • Demand Forecasting and HR Planning
    Market research and demand estimation based on business plans. Human resource planning and forecasting with optimized HR costs. Automatic job role/description creation based on demand.
  • Talent Acquisition
    AI-powered sourcing, resume shortlisting, and interview scheduling.
  • Interviewing and Compensation
    Virtual interview analysis, optimized compensation evaluation, and offer generation.
  • Onboarding, Assignment, and Alignment
    Seamless onboarding, project/team assignment, and succession planning.
  • Workforce Planning and Optimization
    Workforce analytics, predictive modeling, and skill gap analysis.
  • Skills Development and Learning
    AI-driven career development plans, personalized learning management systems, and cross-functional collaboration programs.
  • Performance Evaluation
    Employee performance analysis, 360-degree feedback, and goal setting.
  • Attrition and Retention
    Employee attrition prediction, retention strategies, and exit interview analysis.


Legal, Law and Order

  • Law Firm Chatbot
    Enhancing client interaction and providing instant legal information.
  • Assistant for Legal Document Search
    Efficiently searching and retrieving relevant legal documents using LLMs.


Real Estate and Infrastructure

  • Sustainable Infrastructure Development
    Incorporating sustainability assessment tools and data analytics for sustainable infrastructure projects.
  • Property Search and Recommendation
    AI-driven property search platforms and personalized recommendations.
  • Construction Project Management
    Streamlined project management, resource optimization, and risk assessment.
  • Real Estate Investment Analysis
    Data analytics, predictive modeling, and scenario analysis for real estate investment decisions.


Sports and Fitness

  • Athlete Performance Optimization
    Performance tracking, injury prevention, and personalized training plans.
  • Injury Prevention and Rehabilitation
    Injury risk assessment, personalized rehabilitation programs, and remote monitoring.
  • Fitness and Wellness Personalization
    Personalized fitness plans, virtual fitness coaches, and real-time health monitoring.
  • Esports Analytics and Strategy
    Game analysis, player performance tracking, and strategic decision-making in esports.


Travel, Tourism, and Hospitality

  • Personalized Travel Experience
    Personalized travel itineraries, recommendations, and customer assistance through chatbots.
  • Dynamic Pricing and Revenue Management
    Optimizing pricing strategies and maximizing revenue.
  • Customer Loyalty and Retention
    Building and maintaining customer loyalty through personalized rewards and exceptional experiences.
  • Destination Management and Sustainable Tourism
    Managing tourist destinations while promoting sustainable tourism practices.


Miscellaneous (Cognitive Informatics)

  • Answering Arithmetic and Numerical Queries
    Understanding and solving arithmetic and algebraic problems stated in natural language.
  • Answering Natural Language Questions from Document Tables
    Extracting and analyzing data from tables to answer complex questions.
  • Transformation of Unstructured Data
    Transforming unstructured and semi-structured data into structured relational database formats.
  • Extraction of Numerical Information from Text
    Identifying, extracting, and analyzing numerical information from textual documents.
  • Integrating Textual Information from Referral Objects
    Enriching corpora by integrating textual information from various sources within documents.
  • Answering Predictive Questions
    Answering predictive questions based on given data for forecasting.
  • Automatic Data Standardization
    Standardizing data from various sources for machine learning model training.
  • Automatic Data Interpretation and Answering Analytical Questions
    Interpreting data from tables and charts to answer analytical questions.