2025
Entrant
Category
Client's Name
Country / Region
We've developed a product utilizing Generative AI to automate document classification, data extraction, and quality checks. Leveraging Microsoft tools like Azure Blob Storage and Azure Data Lake, we store various document formats (email, Excel, Word, PDF) for processing. With Microsoft Azure Cognitive Services for text recognition and extraction, alongside LLM models such as GPT 3.5 and GPT 4, we extract relevant information including tables and label-value pairs. We employed custom prompts and fine-tuned the model to enhance performance on specific document types. Our solution drastically reduces quote generation time from 1 hour to just 10 minutes.
Important Consideration in Orian Pulse:
Purpose-built for projects with existing code and future modernization plans
Seamless fit into your current SDLC tools and roles (Jira, Git, VS Code, Zephyr, etc.)
Context-aware multi-agent AI augments POs, developers, testers across SDLC stages
Boosts productivity without disrupting workflows and existing methodology
Leverages best-in-class LLMs like GPT, Gemini, Claude and Industry Tools like Copilot, Claude, Cursor
Collaborative, not competitive – enhances, not replaces, your ecosystem of tools
Credits
Entrant
Shanker Gangone
Category
Achievement - Achievement in Technology Innovation
Country / Region
United States
Entrant
Kanagalakshmi Murugan
Category
Information Technology - Technical Professional of the Year
Country / Region
United States
Entrant
DESIGN POP by Mitch Zorba
Category
Event - Celebration Event
Country / Region
Puerto Rico
Entrant
Deepak Singh
Category
Business Technology Solutions - Artificial Intelligence / Machine Learning Solution
Country / Region
United States