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What is Metric?
Metric offers advanced Enterprise AI solutions designed to help businesses scale and unlock hidden potential. Leveraging deep expertise in Machine Learning, Data Analytics, Deep Learning, Natural Language Processing (NLP), and Computer Vision, the company provides tailored solutions for evidence-based decision-making across diverse industries. Their services encompass areas such as document analysis, video stream analysis, predictive modeling, and optimization algorithms.
Assisting organizations from startups to Fortune 100 firms, Metric focuses on implementing cutting-edge AI techniques. They specialize in delivering practical applications including interactive dashboards, customer behavior analysis, product recommendation systems, and fraud detection, ensuring tangible business outcomes. The company excels in addressing complex AI challenges where standard, readily available solutions may prove insufficient for specific client needs.
Features
- NLP and Text Analytics: Document analysis, topic modeling, trend extraction, survey text analysis, key information extraction, text categorization.
- Computer Vision: Face detection, recognition and verification, emotion analysis, video stream analysis, object detection, image classification.
- Data Analytics and BI: Interactive dashboards, KPI monitoring, customer behavior analysis, product analytics, sales trends analysis, anomaly detection.
- Generative AI Products: Includes virtual data assistant Anania for complex data analytics via plain English queries.
- Algorithms and Reinforcement Learning: Product recommendation, feed optimization, filtering, constrained optimization, adaptive ML systems.
- Data Science and Predictive Analytics: Marketing response analysis, price, demand, churn, subscription predictions, revenue optimization.
Use Cases
- Marketing Campaign Optimization
- Predictive Lead Scoring
- Product Recommendation
- Credit Risk Management
- Stock Price Prediction
- Portfolio Optimization
- Credit Scoring & Default Prediction
- Fraud Detection & Prevention
- Customer Acquisition & Retention
- Customer Churn Modeling
- Predictive Maintenance
- Revenue Forecasting
- Anomalous Threat Detection
- Log Behavior Analysis
- Spam and Phishing Detection
- Liver Biopsy Image Analysis
- Meta-analysis for Clinical Papers
- Patient Volume Forecasting
- Cable Network Noise Root Cause Detection
- Emotion And Lie Detection
- Shelf Share Estimation Using Computer Vision
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