Plug and Play AI Framework

  • Build your configurable, enterprise data powered AI apps faster.
  • Choose ML models to use on the fly – custom or pre-trained.
  • Create outputs in your preferred format.

Pegasus.O AI is a versatile plug-and-play AI framework designed to streamline the process of building and deploying AI applications. It enables enterprises to integrate data from virtually any data source in a few clicks, using a pre-trained ML model or a custom model.

Data

Extensive data sources supported, including enterprise databases, warehouses, Excel, PDFs etc.

APIs

API based integrations with pre-trained or custom models.

Tuning

Use case specific model-tuning for precise control over output.

How it works

Step 1: Choose data source

With Pegasus.O AI, the possibilities are limitless.

The framework can accept data from any source, regardless of their format. Whether it’s structured, unstructured, or semi-structured data, our framework effortlessly handles it all.

Some examples of data our framework can work with:

  • Enterprise data
  • Data warehouse
  • Office suite
  • PDFs, Excel, Text documents
  • RDBMS, NoSQL DBs
  • Sensor data

Data Sources:

Enterprise integrations:

Step 2: Integrate with Pre-Trained or Custom Models

What sets our framework apart is its ability to use any custom ML model or a pre-trained model. It allows you to switch between the various models on the fly as well.

For example, if you want to generate visualizations from data, switch to the appropriate ML model with a click and you are done!

You might want to use a great NLP mode like GPT to generate a summary from the same date – no need to feed it into another system. Just switch to a model like GPT 4 or BERT with a click!

Step 3: Output

Based on the kind of output you desire, our framework enables you to use a tool of your choice.

For example, if you want to generate a visualization, we can integrate with Powoer BI or Tableau. In case the response required is of a diffirent nature, the framework can use the appropriate app for that!

One framework to create a Super-AI app that does it all for you!

Data Integration

Integrate data from different data sources effortlessly.

Plugin Architecture

Extensible plugin system for integrating third-party APIs, allowing integration of external services and data.

Security

Inbuilt security standards (PCI-SSL etc) with secure user authentication and access control to protect sensitive data (OAuth, 2FA)

Analytics

Comprehensive analytics dashboard for monitoring app performance, user interactions, and feedback. Integration with 3rd party tools also supported.

NLP

Our platform comes pre-built with NLP capabilities allowing you to a generate desired output.

Compliant

100% Data encryption, secure data storage, and compliance with industry-specific regulations (e.g., GDPR, HIPAA)

Use Cases

Healthcare

Imagine you’re developing a healthcare application. Pegasus.O AI lets you integrate with a pre-trained AI engine that specializes in medical image analysis. This engine has been trained on a vast dataset of medical images and can:

  • Detect Anomalies: Identify anomalies in X-rays, MRIs, or CT scans, such as tumors, fractures, or abnormalities.
  • Disease Classification: Classify medical images into various disease categories, aiding in faster diagnosis.
  • Treatment Recommendations: Provide treatment recommendations based on the analysis of medical images, helping medical professionals make informed decisions.

E-Commerce

If you’re running an e-commerce platform, you can benefit from integrating with a recognition engine. This engine can:

  • Product Recognition: Automatically tag and categorize products based on images, simplifying catalog management.
  • Visual Search: Enable users to search for products by uploading images, making product discovery more intuitive.
  • Emotion Analysis: Analyze customer facial expressions to gauge their emotional responses to products and advertisements, aiding in marketing strategies.

Customer Support

Suppose you’re managing a customer support system. You can integrate a natural language processing (NLP) engine an enjoy instant AI powered:

  • Automated Ticketing: Automatically categorize and assign support tickets based on the content of customer inquiries.
  • Chatbots: Develop intelligent chatbots that can understand and respond to customer queries in real-time, providing 24/7 support.
  • Sentiment Analysis: Analyze customer feedback to gauge customer satisfaction and identify areas for improvement in your support services.

Content Recommendation

If you’re operating a content recommendation platform, integration with a recommendation engine can:

  • Personalized Content: Analyze user behavior and preferences to provide personalized content recommendations, increasing user engagement.
  • Dynamic Pricing: Optimize pricing strategies for e-commerce products based on user preferences and market trends.
  • News and Content Filtering: Filter and recommend news articles, videos, or other content based on user interests and reading habits.

Watch our webinar on how to add AI capabilities to any enterprise, fast

Join our CEO and CTO to learn how you can add AI powered tools such as language and speech recognition, speaker authentication, chat bots, and more to your existing enterprise apps and software. We talk about the services provided by Microsoft Azure (Azure Cognitive Services) that make it easier and faster to make an intelligent, self-learning and universally accessible app that enhances the overall user experience.

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By hiring Silicon Valley caliber engineers at a more affordable cost, you can access a wide range of skilled AI developers specializing in data preparation techniques. With expertise in over 100 skill sets, our developers are equipped to handle a variety of A.I. projects and deliver high-quality results.