InfinyOn

We founded InfinyOn in 2019 to provide a streaming platform that unifies data flows and accelerates processing using Rust and WebAssembly. Our platform helps developers build responsive applications at scale.

Our main product, InfinyOn Cloud, uses the Fluvio data streaming runtime, which is written in Rust. InfinyOn Cloud brings together a distributed event log, a stateful stream processing runtime, and a workflow orchestrator into a single data platform. We designed it to simplify streaming analytics, infrastructure management, and development, allowing for faster iteration with developer tools. The platform handles growing data volumes and includes features for building data pipelines, capturing events, transforming and enriching data (even with AI), computing analytics on-demand, visualizing streaming data, and delivering processed data.

Our components include:

• Fluvio: An open-source distributed streaming engine. It’s a 37 MB binary that can be deployed on ARM64 edge devices and cloud-native environments using Kubernetes.
• Fluvio CLI: A command-line interface for managing the Fluvio streaming engine.
• Fluvio Clients: Available for Rust, Python, and Node, these enable direct application integration.
• Connector Development Kit (CDK): For building connectors to various data sources and destinations like MQTT, HTTP, S3, and databases.
• Smart Module Development Kit (SMDK): For developing Smart Modules (WebAssembly packages) to perform real-time data transformations such as deduplication, filtering, and flattening.
• Stateful Data Flow (SDF): A toolkit for building, deploying, and maintaining end-to-end stateful streaming data flows on Fluvio. It helps define schema, types, state objects, and business logic.

We integrate with data sources and destinations through Fluvio Clients, pre-built Fluvio Connectors, or custom connectors built with our CDK. Our platform offers 50x better memory efficiency compared to traditional solutions. InfinyOn Cloud is our fully managed Infrastructure as a Service offering of Fluvio and Stateful DataFlow. It supports cloud-native deployments and enterprise contracts for air-gapped or bring-your-own-cloud environments. We’ve designed this technology for edge-to-cloud data streaming and real-time stream processing in cloud-native and AI-powered applications.

Our mission is to accelerate the world’s transition to a real-time economy. We’ve developed a modern real-time data platform with an event stream processing engine to help architects, data engineers, and developers build the next generation of real-time services.

We are a team of 11 to 50 people. Our leadership includes A.J. Hunyady (Cofounder and CEO), Sehyo Chang (Cofounder and CTO), Deb Roy Chowdhury (VP Product Management), and Alan Chen (Head of Engineering). We look for individuals passionate about cloud computing, distributed systems, Kubernetes, and real-time data, offering opportunities to work on a continuous intelligence platform. We aim to build a team of software engineering experts dedicated to shaping the future of real-time data processing.