Rêve is an AI-enabled cloud operations platform that ingests data from AWS, Azure, GCP, Oracle, and OCI through a modern full-stack (React + Next.js + TypeScript frontend; Python, Kafka, Spark, Airflow backend). The tech mix—combining Elasticsearch and Typesense for search, PyTorch for ML ranking, and geospatial UI workflows—reveals a platform anchored on visualizing and querying massive cloud datasets at scale. Hiring velocity is accelerating with senior engineers in data and infrastructure, suggesting active work on the scalable pipelines and high-performance search systems needed to handle multi-cloud pricing and resource sprawl.
Rêve simplifies cloud operations management by providing a unified dashboard across multiple cloud providers—AWS, Azure, GCP, Oracle, and OCI. The platform visualizes cloud infrastructure and usage patterns through map-based and GIS-enabled interfaces, helping operations teams reduce cloud spending and complexity. Built for mid-market and enterprise organizations managing distributed cloud footprints, Rêve runs analytics on pricing data, resource utilization, and performance metrics using Apache Spark, Kafka, and Airflow. The company is based in Kuala Lumpur with an engineering-focused team of 51–200 employees.
Rêve integrates with AWS, Azure, GCP, Oracle Cloud, and OCI. The platform unifies visibility and cost management across all five hyperscalers in a single interface.
Frontend: React, Next.js, TypeScript. Backend: Python, Java, Scala. Data: Kafka, Apache Spark, Airflow. Search: Elasticsearch, Typesense. Infrastructure: Docker, Kubernetes, Terraform. ML: PyTorch for intelligent ranking.
Other companies in the same industry, closest in size