Share Your Requirements
GHSRK AI, focused on building intelligent conversational platforms, aimed to create a feature-rich chatbot solution integrated with multiple AI models. The requirement centered on developing a scalable platform supporting blogs, location-based content, and real-time data insights while enabling seamless interaction across advanced AI systems.
The client sought Oodles to address the need for a unified chatbot platform capable of handling diverse content and AI integrations. The requirement involved frontend development, backend setup using BaaS, AI model integration, API connectivity, and database management. The scope included building a scalable system to support real-time responses, dynamic content delivery, and multi-model AI interactions.
To accelerate the client’s product vision, the MVP was engineered as a modular, scalable AI-first platform designed to handle multi-source input and intelligent output fusion.
Key Features Delivered:

Wellsite™ serves oil and gas operators and service companies, streamlining oilfield operations through automation, application integration and collaboration ac
Technologies Involved:
Angular
+5 more
Area of Expertise:
Machine Learning
+2 more

Neuron Cyber Security, a Georgia-based AI solutions provider in surveillance tech, approached Oodles to refine their existing neural network model aimed at improving
Technologies Involved:
Python
Area of Expertise:
Machine Learning

A US-based software solutions provider, known for enabling digital transformation across legacy systems, partnered with Oodles to modernize a time-sensitive client-s
Technologies Involved:
Python
Area of Expertise:
Machine Learning

Cardiac conditions often go undetected due to limitations in traditional monitoring systems. Biocalculus aimed to become a next-generation cardiac monitoring ecosyst
Technologies Involved:
Android Studio
+7 more
Area of Expertise:
Machine Learning
+4 more