a few use case examples
For many customers, AI and technology can be challenging to master, despite their huge benefits. Kelp-AI bridges the gap.
Over the past 10 years, we’ve been refining every building block necessary to help customers fully harness AI. This goes beyond AI model expertise—it includes leveraging best-in-class cloud services and open-source software to ensure smooth deployment and seamless operation. We tailor an ad-hoc AI and data platform for each customer, selecting the optimal technologies to meet their specific needs.
Here are a few examples.
Predictive Maintenance
Deploying and operating over 5,000 AI models to predict failures in industrial components—while maintaining strict budget constraints—for a leading energy supplier.
customers feedback
Collecting customer feedback in various formats—text, handwriting, voice messages, and emails—analyzing it, and delivering a concise report with clear, actionable recommendations for management, achieving an ROI within 6 months.
document management
Automatically storing documents based on the customer's organizational structure and providing a natural language search engine for employees to quickly retrieve relevant information. Key insights are synthesized into a concise report with a confidence score.
Fraud detection
Comprehensive fraud detection leveraging advanced AI algorithms, including anomaly detection, pattern recognition, and NLP, to identify suspicious payment transactions and false statements in insurance claims.