Qualetics Build, Deploy & Monitor AI in Real Time

What is Qualetics?

Qualetics provides a comprehensive platform designed for businesses to build, test, deploy, and monitor Artificial Intelligence (AI) solutions efficiently. It focuses on agentic AI, allowing users to create complex, iterative, and interactive automations through an intuitive interface called Data Machines. This system simplifies the process of connecting various data sources to a library of over 25 pre-built AI models, directing their analysis, linking model outputs to inputs of subsequent models, and integrating the analyzed results into existing business workflows or customer-facing applications.

The platform offers real-time observability, enabling users to monitor data behavior with sub-second latency and receive proactive notifications via Live Subscriptions for specific data events. Qualetics also provides domain-specific AI solutions tailored for sectors like HealthCare, Education, Finance, Supply Chain, and Marketing, addressing challenges such as churn prediction, risk assessment, and content recommendation. Furthermore, it includes tools for analyzing user behavior when AI is implemented, providing insights into system performance and user experience improvements, facilitating the scaling of AI operations without substantial investments in custom platforms or infrastructure.

Features

Real-Time Agentic AI Automations: Build complex, iterative, and interactive AI solutions using Data Machines.
Model Library: Access 25+ pre-built language, vision, and activity agentic AI models, with fine-tuning and custom options for enterprises.
Live Observability: Monitor data behavior in real-time with sub-second latency and configure proactive event notifications (Live Subscriptions).
Domain Specific Insights: Utilize pre-developed AI agentic solutions for HealthCare, Education, Financial, Supply Chain, and Marketing domains.
Scaling AI Workflows: Construct unique sequential workflows using AI models working collaboratively via Data Machines.
Behavioral Insights: Analyze user behavior and system performance during AI interactions through granular event tracking.
API Based Integration: Embed AI outcomes like recommendations and insights into applications via APIs.
Collaborative Insights: Share findings and insights through curated dashboards with sharing features.

Use Cases

Building agentic AI solutions for business process automation.
Developing AI-powered features for software applications.
Monitoring AI model performance and data flow in real-time.
Generating domain-specific predictions and recommendations (e.g., churn, health risk, content).
Analyzing user engagement and interaction within AI-driven systems.
Scaling AI capabilities across organizational departments.
Integrating AI decision support into existing business operations.