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 had this challenge
Doctors and nurses need fast, intelligent assistance to summarize patient history, suggest treatments, and validate decisions based on research and guidelines.
For Patient care Doctors or Nurses may not be available to answer questions, render advice or perform patient monitoring in a timely manner.
Insurance companies simply wanted to reduce the cost of care in cases where the patient does not need to see a physician
CirrusWave ingested sensor data from patient database in real time and combines it with predictive models via deployed APIs.
LLM agent fine tuned with specifi data translates alerts into human-readable explanations, suggests maintenance actions, and creates automatic service tickets.
Used connectors to fetch historical anomalies from NoSQL stores for RAG-style root cause analysis.
Through REST API function calling, services like a live nurse can be called or doctor advice can be obtained when needed
Improved clinical decision support, enhanced patient care quality, and reduced time to diagnosis and treatment planning. Patients were able to ask questions, educate themselves, take lifestyle improvement actions. In turn, the patient self-help brought significant reduction in urgent care visits and helped reduce cost of care.
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