GlassFlow is a Berlin-based startup whose platform lets Python developers build event-driven data pipelines quickly using built-in connectors, managed infrastructure, and a serverless transformation engine that executes Python functions. The product targets the gap left by Java/Scala-centric streaming tools, aiming to reduce setup time and ongoing maintenance for midsize data teams. GlassFlow supports AI applications, real-time processing, and IoT use cases and has been used by more than 60 companies, including Babbel, Deloitte and Juro. Founders Armend Avdijaj and Ashish Bagri bring over a decade of experience building data products and designed the platform for Python-first workflows. The company has raised $4.8 million in seed funding and plans to expand platform capabilities. Upcoming features include stateful functions, chaining, data lineage, and the option for customers to host GlassFlow on their own cloud infrastructure. GlassFlow provides a platform that allows engineers to build and transform data streams with event processing for organizations of all sizes. The product is designed so Python data engineers can ingest, observe and transform data streams at scale in minutes using one solution. The company was founded by Ashish Bagri and Armend Avdijaj and is based in Berlin, Germany. GlassFlow raised $1.1M in Pre-Seed funding to support its growth. The startup intends to use the funds to expand operations and broaden its business reach. No operating metrics (revenue or user counts) were disclosed in the article.

Total raised

$6M

Funding rounds

2

Latest round

Seed

Latest activity

Oct 2024