Custom AI Model Development
Policy Impact Analysis : Tailored AI to simulate the effects of policy changes on various demographics
Energy Load Forecasting : Build predictive models for energy demand based on local weather patterns and historical usage
Adaptive Learning Systems : Develop personalized learning systems that adapt to student progress and learning style
Credit Scoring : Develop models that assess credit risk using non-traditional data like utility bills or social media activities
Dynamic Pricing Models : Tailor AI to optimize pricing strategies based on local demand, competitor pricing and inventory levels
Get in touch with us to find out if custom AI/ML is right fit for you.
Predictive Analytics
Disease Prediction : Predict the likelihood of diabetes, heart disease or cancer based on patient history and genetic data
Fraud Detection : Identify potential fradulent transactions by analyzing patterns and anomalies in financial data
Outage Prediction : Forecast power outages to ensure rapid response and minimize downtime
Cybersecurity : Predict potential cyberattacks by analyzing network traffic and user behaviour
Tenant Default Risk : Predict the likelyhood of rent default based on tenant profiles
Machine Learning Solutions
Supervised Learning : Predict patient readmission risk and asses creditworthiness with high accuracy and interpretability for tasks with abundant labeled data
Unsupervised Learning : Discover market anomalies and cluster customer through discovering hidden patterns in unlabeled data
Semi-supervised learning : Drug repurposing, patient segmentation and defect analysis with limited labeled data and abundant unlabeled data
Deep Learning : Develop diagnostics tools and inspect products with advanced vision systems using unstructured images, video and text
Reinforcement Learning : Train robots for tasks, execute high-frequency trading and optimize therapy using sequential decision making optimization
Natural Language Processing (NLP)
Product Review Analysis : Extract insights from customer reviews to understand preferences and identify areas of improvement
Knowledge summarization : Generate concise summaries of textbooks, articles or lecture notes for students
Incident Reporting : Analyze maintenance logs or incident reports to predict equipment failures
Network Issue Prediction : Extract insights from technician notes or customer complains to anticipate service disruptions
Semantic Search : Improve search engines by understanding user intent in technical documents.
Recommendation Systems
Product Recommendations : Suggest products based on browsing history, past purchases and items bought together
Content Recommendations : Suggest movies, songs and shows based on user preferences and watch history
Feature Recommendations : Suggest software features or upgrades based on user interaction data
Property Suggestions : Recommend properties based on user preferences, budget and location history
Career Recommendations : Suggest career paths or skill certifications aligned with student performance and goals
Get in touch with us to build AI/ML solutions