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The client engaged Oodles to build an advanced LLM-based orchestration system designed to automate end-to-end sourcing workflows. The solution leverages a local LLM orchestrator to manage multiple modular automation units, each responsible for a specific task within the sourcing pipeline. The goal was to create a scalable, intelligent system capable of executing, monitoring, and optimizing complex workflows through a centralized dashboard.
The project focused on developing a backend-driven orchestration system along with a dashboard interface to monitor and control workflow execution. It included designing modular ATOMs for task-specific automation, integrating a local LLM for orchestration, and customizing an existing dashboard for tracking workflow progress. The scope also covered enabling manual intervention, real-time status visibility, and seamless coordination between different automation units.
Oodles delivered a robust and modular AI orchestration system by combining LLM capabilities with structured automation workflows.
Key implementations included:

Wellsite™ serves oil and gas operators and service companies, streamlining oilfield operations through automation, application integration and collaboration ac
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Angular
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Neuron Cyber Security, a Georgia-based AI solutions provider in surveillance tech, approached Oodles to refine their existing neural network model aimed at improving
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Python
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A US-based software solutions provider, known for enabling digital transformation across legacy systems, partnered with Oodles to modernize a time-sensitive client-s
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Cardiac conditions often go undetected due to limitations in traditional monitoring systems. Biocalculus aimed to become a next-generation cardiac monitoring ecosyst
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Area of Expertise:
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