Built to remove barriers in data insights that keep teams siloed — Bicycle is a Real-Time Insights & Operations platform that sits at the intersection of your Event Streaming Platform and Data Warehouse, to enable real-time insights, alerts, and automation.

Bicycle can slice data by business dimension (e.g., by geography) and across software dimension (e.g., by application speed) to quicky find specific opportunities to impact the bottom line. Imagine a set of payment issues impacting only specific app users, login issues only impacting certain geographies, or a fast-growing customer loyalty segment that can be better revenue optimized.

As data streams in, Bicycle automatically identifies and correlates anomalies using a rich set of tools and models. From the user-friendly interface, you can build a live software business graph, drill down into DevOps, set alerts, and drive automated responses to resolve issues quickly. Whether you’re a data scientist or a product owner with limited technology training, all of these insights can be self-served. 

Book a demo with us today at bicycle.io

Developer Tools

Software

Bicycle

Bhaskar Sunkara

Michael S. Stromer

Anoop Premachandran

Rajiv Shivane

The Engineering Team at Bicycle designs, develops, and maintains the Real-Time Insights & Operations platform. They are responsible for creating the algorithms that identify and correlate data anomalies, developing the user-friendly interface, and ensuring the seamless integration with Event Streaming Platforms and Data Warehouses. Their work ensures that users can effortlessly obtain real-time insights, set alerts, and automate responses to optimize business operations efficiently.

Engineering Team

About

Team members

Other teams at Bicycle

Leadership Team