Real-time processing made simple

Build and deploy a custom system in a matter of minutes. Our VSCode extension is preloaded with production-ready templates for real-time IoT, Machine Learning, and Security applications.

2 from typing import Any, Dict
4 from buildflow import Flow
5 from import GCSFileStream
6 from import S3Bucket
7 from buildflow.types.gcp import GCSFileChangeEvent
9 app = Flow()
11 # Process a stream of file changes from GCS and write to S3
12 @app.pipeline(
13 source=GCSFileStream("input-bucket-name"),
14 sink=S3Bucket("output-bucket-name"),
15 )
16 def process(file_change: GCSFileChangeEvent):
17 return file_change.blob

Ingest & Process IoT Data

Ingest, Process, and Persist your IoT data at scale. With LaunchFlow, you can quickly setup an end-to-end pipeline for collecting and processing nearly any type and volume of IoT data.

Serverless Infrastructure

Everything in the LaunchFlow ecosystem is serverless. No need to worry about servers, containers, or clusters. Just write your application code and let LaunchFlow handle the rest.

Efficient Python Systems

Our in-memory processing model can lower your bill significantly. With LaunchFlow, you can develop production-grade systems with just a few lines of Python code.

Real-time Apps & APIs

Serve real-time data to your users with just a few lines of code. Stream updates to your clients over websockets or HTTP. With LaunchFlow, you can effortlessly scale up to handle nearly any throughput requirement.