Qualetics

Build, Deploy & Monitor AI in Real Time

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Description

Qualetics offers a comprehensive platform designed to help businesses build, deploy, and monitor Artificial Intelligence solutions in real time. Utilizing its innovative 'Data Machines' feature, users can rapidly develop complex, iterative, and interactive agentic AI automations through an intuitive interface. This system simplifies the process of connecting business data to a library of over 25 pre-built AI models, enabling the seamless direction of analysis and the linking of model outputs to inputs for sequential processing.

The platform provides robust tools for live observability, allowing businesses to monitor data behavior with sub-second latency and receive proactive notifications based on user-defined events via 'Live Subscriptions'. Qualetics supports various domains including eLearning, Customer Success, HealthCare, Supply Chain, Financial, and Marketing, offering specialized agentic solutions and the capability for model customization or development for unique enterprise needs. It aims to facilitate AI-driven business growth and enhance user experiences by integrating AI outcomes directly into software applications and business systems through API-based integration.

Key Features

Data Machines: Build sequential, agentic AI workflows connecting multiple AI models.
Model Library: Access over 25 pre-built language, vision, and activity agentic AI models.
Live Observability: Monitor data ingestion and behavior in real-time with sub-second latency.
Live Subscriptions: Receive proactive notifications based on custom data events via webhooks.
API Integration: Embed AI outcomes and analytics into external applications and systems.
Domain-Specific Solutions: Specialized AI models for industries like Healthcare, eLearning, Finance, and Marketing.
Behavioral Analytics: Analyze user interaction patterns with AI-powered features.
Model Customization & Fine-Tuning: Adapt or develop AI models for specific business needs (Premium/Enterprise).
Low-Code Interface: Simplifies building complex AI solutions without extensive coding.

Use Cases

Building agentic AI automations
Real-time AI performance monitoring
Connecting diverse data sources to AI models
Integrating AI capabilities into business workflows
Embedding AI features into customer-facing applications
Predicting customer churn for software solutions
Detecting anomalies in financial data
Generating content recommendations for eLearning platforms
Assessing various risk factors in healthcare (e.g., health, cardiac, readmission)
Analyzing user behavior interacting with AI systems
Providing AI-driven decision support