A popular ecommerce provider needed to onboard a new distributor to address the demand for online delivery of their products to customers. Personnel constraints made it necessary for them to automate the process removing the need for on-the-ground personnel
The ecommerce company used CirrusWave platform to develop Microservices and used the built-in connectors and microservices API to configure access to distributor catalog and inventory data. CirrusWave made it easy and robust for integration with multiple data sources and develop component microservices
A new distributor catalog was brought online in record time enabling business continuity in uncertain period. Encouraged by the success, the ecommerce provider automated their distributor management and decided to on adopt CirrusWave platform to also automate their supply chain.
A health care startup wanted to offer an intelligent nurse that can render timely & precise advice and answer health & wellness related questions
CirrusWave microservice connected to Continuous Glucose Monitor device to ingest glucose readings in real time and combines it with predictive models via deployed APIs
LLM agent with finetuned models use individual patient information generate contextual responses to questions, make recommendations about diet, exerciese, stress relief techniques
Ingested existing institutional knowledge and research data, connected to vector data base and provide enhanced the answers enabled through RAG
Track medications and give timely alerts
The patient's attributes & model is continuously learned with usage
CirrusWave REST API is used for function/tool calling for services like a live nurse can be called or doctor advice can be obtained when needed
Patients were able to get timely help and were able to educate themselves The timely recommendations and reminders for medicine helped improve overall patient health and lifestyle
A large telecom provider with data servers in multiple clouds. The server operations team was faced with a large number of alerts that needed to be processed that was costly and time consuming.
The telecom provider's data operations team Implemented an AI solution that processes the alerts. The system recommends appropriate action to be taken on the alerts. CIrrusWave microservices platform helped to speed up the API development, deployment and to handle the large volume of information. CirrusWave made it easy integration with multiple data sources and develop component microservices.
Critical alerts get the attention of Operations personnel in a timely manner
An AI/ML startup needed to create a conversational graph of transcribed content so that their customer service agents could help their customer in real time with actionable recommendations
The AI/ML startup used CirrusWave platform to develop and deploy a microservices based architecture to receive and connect multiple data sources for AI based processing
By using CirrusWave platform, the AI/ML startup was able to deliver robust conversational graph solution in a very short period of time and with reduced cost