Fin Research AI Agents Fin Research AI Agents transform traditional equity and sector research by autonomously collecting data, validating information, performing structured financial reasoning, and generating institutional-grade reports in minutes.Built on an agentic orchestration framework [...]
AI-based Vegetation Indices Solution The AI-based Vegetation Indices Solution leverages satellite imagery and machine learning to monitor crop health, detect stress, and generate actionable insights for precision farming. By analyzing multispectral bands (RGB, NIR, [...]
Agentic AI-based Customer Loyalty Assistant Enterprises struggle to maximize the ROI of loyalty programs due to fragmented data, delayed insights, and generic campaigns. ThirdEye Data’s Agentic AI-powered Loyalty Assistant transforms customer engagement by orchestrating AI [...]
Automated Product Counting System The Automated Product Counting System is an AI-powered solution that ensures accuracy, efficiency, and transparency in logistics and supply chain operations. Leveraging advanced computer vision models, it can automatically detect [...]
Care Roster AI Care Roster AI is an intelligent workforce orchestration platform that automates nurse scheduling, aligns staff skills with patient demand, and dynamically adapts to real-time hospital conditions.By integrating hospital operations data, availability, leave [...]
Neuro-Symbolic Planning with LLMs in 2025 LLM agents can talk through tasks, but they still falter on long-horizon plans with tight preconditions and side effects. Independent studies continue to show that when LLMs [...]
Top 25 Agentic AI Use Cases in 2025 As we advance through 2025, the artificial intelligence landscape has evolved far beyond the generative AI boom of 2023-2024. The current focus has shifted to [...]
What is Model Context Protocol or MCP? The Model Context Protocol or MCP is a framework for maintaining, updating, and sharing contextual information across multiple AI agents, LLMs, tools, environments, and user sessions [...]
A Comparative Study Between LangGraph and LangChain for Enterprise AI Development The landscape of AI application development has undergone a dramatic transformation with the emergence of sophisticated orchestration frameworks. As enterprises increasingly adopt [...]
All About Emergent Behavior in Large Language Models Emergent behavior is when an LLM suddenly gains new capabilities that were neither explicitly programmed nor visible in smaller versions. These abilities appear non-linearly, they’re [...]
