About AI Solutions
We are an innovative AI-based company that specializes in harnessing the power of artificial intelligence to transform industries, drive growth, and shape the future. We create intelligent solutions that revolutionize the way businesses operate and people interact with technology.
Halcyon has multidisciplinary team of AI experts, data scientists, engineers, and designers who work together to deliver transformative solutions that meet the unique needs of customers across industries
AI Chat bot:
We have developed AI Chabot which not only performs live human interactions using NLP algorithms but also
Benefits:
- Responds to inquiries and learns from user inputs.
- Capture the leads for your marketing teams
- Multilingual support
- Notifications and search help users find what they need.
- Automates daily activities, from answering FAQs to booking appointments.
- Industry agnostic and many more
AI Job Automation:
AI-based jobs automation uses NLP to identify and classify entities.
NER model assigns jobs to repair technicians based on relationships from job description or text dataset.
Benefits
- The availability of repair technician.
- Repair technicians City and Zip code.
- Experience of repair technician.
- Clients reviews and ratings.
- Job preferences opted by repair technician.
- Performance of the repair technician.
- Known/Unknown repair technician.
AI assistant automation
AI-powered assistant to help vehicle dealers and service providers.
Developed a virtual assistant by taking advantage of artificial intelligence.
It uses OpenAI's cutting-edge GPT-4 language model, making it highly proficient tasks, including translation and conversation.
Benefits
- AI-powered assistant for dealership websites to work 24x7.
- Dedicated assistant in accordance with corporate culture.
- It can be integrated with car databases and external platforms.
- Administrators can review chats and manage leads through a dealership console.
- Chat widget can be integrated into existing websites.
Predictive vehicle maintenance using AI
AI algorithms use vehicle data to predict maintenance requirements.
- Mileage
- Driving conditions
- Historical performance data Etc.,
- Maintenance
- Manufacturing date
- Service history
The application alerts users of potential maintenance issues to prevent breakdowns.
AI uses RNNs to capture long-term dependencies and temporal patterns.
Benefits
- Historical maintenance data is used to analyze operating conditions and failures.
- AI sets thresholds for maintenance actions based on predictions.
- AI continuously collects data to update language model for maintenance predictions.
- Alert users and schedule maintenance appointments with dealerships/service providers.
AI Automated Vehicle Diagnostics
Transformer-XL language model provides advanced language understanding and analysis for vehicle diagnostics.
Benefits
- The language model processes user input data related to vehicle issues.
- AI model identifies key factors responsible for a problem.
- System provides insight into root cause and recommends repair and maintenance.
- Recommendations will help technicians and owners make informed decisions.
- Users can access specific information and guidance related to vehicle diagnostics.
AI-based vehicle recommendation systems
RoBERTa model provides tailored vehicle recommendations based on user requirements.
Benefits
- AI models gather data on user preferences, such as budget, features, driving habits, and lifestyle considerations.
- User surveys, questionnaires, and browsing behaviour are used to collect data.
- AI model identifies best matches based on user preferences.
- AI-based vehicle recommendation system helps users find the right car.
AI-powered EHR management system
AI-powered EHR management system uses machine learning and NLP to analyze health records.
AI automates administrative tasks, reducing errors and freeing up healthcare professionals.
Benefits
- AI-powered EHR applications provide real-time clinical decision support.
- System analyzes patient data to provide accurate diagnoses and treatments.
- AI algorithms use patient data, genetic information, and treatment outcomes to create personalized treatment plans.
- AI can predict disease progression, identify high-risk patients, and suggest preventive measures.
- NLP model extracts relevant information from unstructured clinical notes.
- Automating administrative tasks such as appointment scheduling, billing, and documentation.
AI Remote patient monitoring
AI-enabled RPM Tool uses OpenAI's GPT model to identify trends.
AI-enabled RPM detects abnormalities and identifies health issues.
Benefits
- Monitor patient data in real-time to generate alerts and notifications.
- Analyze patient data to identify risk factors and predict health complications.
- System provides evidence-based recommendations for treatment adjustments, medication management, and care plans.
- Provide recommendations for medication adherence, exercise, dietary modifications, and self-care.
- System helps to protect data and comply with privacy regulations.
AI-powered Robotic Process Automation (RPA)
AI-powered RPA application uses OpenAPI's GPT model to integrate backend systems, data processing and automation tasks.
AI-powered RPA automates account opening, KYC, loan origination, data management.
Benefits
- AI RPA ensures data integrity and provides a unified view of customer information.
- Automates account opening process by extracting relevant information from customer documents.
- Automate loan origination processes by automating data collection, credit scoring, document verification, and underwriting.
- AI RPA automates data collection, validation, and reporting for regulatory filings.
- Monitor regulations, extract data, reconcile data, and generate reports.
- Automate payment processes by extracting payment details and reconciling them with banking systems.
Fraud Detection and Prevention using AI
Machine learning algorithms used to detect and prevent fraud in banking applications.
AI helps detect fraud using biometrics, network analysis, and real-time monitoring.
Benefits
- AI detects anomalies in customer behaviour.
- AI system analyzes user behaviour to detect unauthorized access.
- AI-powered NLP techniques use unstructured data to detect fraud.
- AI analyzes network data to detect suspicious connections, relationships, and activities.
- AI system monitors transactions in real-time to prevent fraud.
- AI systems are used to improve fraud detection and security.
AI travel assistance
AI Travel assistance uses BERT for NLP, intent recognition, and sentiment analysis.
AI-powered smart travel assistance offers personalized recommendations, planning, navigation, cost optimization, and safety.
Benefits
- AI travel assistance provides real-time updates to avoid inconveniences.
- AI provides personalized recommendations for travel experiences.
- Smart travel assistance helps users manage travel itineraries in one place.
- Planning trips more efficiently by considering travel duration, budget, and local events.
- Provide accurate maps, directions, and real-time traffic information to improve navigation.
- AI travel assistance facilitates communication in foreign countries.
AI based dynamic pricing and revenue management
Transformer-XL language model is used to analyse large volumes of historical pricing and demand data to make accurate predictions.
Dynamic pricing and revenue management offers personalized revenue generation, demand forecasting, pricing intelligence, and resource allocation.
Benefits
- AI adjusts prices to maximize revenue based on demand, seasonality, and customer segments.
- AI algorithms optimize pricing strategies to maximize revenue and minimize losses.
- AI dynamic pricing helps businesses stay competitive by offering attractive prices.
- AI enhances user experience, increases conversion rates, and personalizes pricing.
- Forecasting travel demand allows websites to adjust prices and allocate inventory.
- Competitors' pricing strategies provide insight to make informed pricing decisions.
Algorithmic trading
LSTM of RNN is used to process sequential data and model time series data for algorithmic trading.
AI provides speed, efficiency, data-driven decision making, risk management, adaptive learning, and scalability.
Benefits
- AI provides scalable financial data analysis, quick actions, and efficient handling.
- AI improves decision-making and trading performance by analyzing data.
- AI automates strategies to minimize negative outcomes and enable consistent and disciplined trading.
- AI helps reduce losses by managing risks and adjusting trading strategies.
- AI uses machine learning to predict market movements and improve strategies.
- Historical data can be used to optimize trading strategies and improve future performance.
AI payments processing
AI enabled payments platform uses SVM algorithm to classify transactions as fraudulent or legitimate.
AI has revolutionised how transactions are processed, secured, and optimised.
Benefits
- AI helps detect and prevent fraudulent transactions, reducing financial losses.
- AI provides secure biometric authentication, reducing identity theft risk.
- AI uses customer data to provide personalized recommendations, offers, and rewards.
- AI selects the most efficient and cost-effective route.
- AI systems enable voice-activated payment systems for secure transactions.
- AI helps identify customer preferences, spending patterns, and future transactions.
