Prequel Emerges From Stealth With $3.3M To Improve Application Reliability

Prequel, a platform tackling the challenges of application reliability through community-driven problem detection, announced it has raised $3.3 million in seed funding.

The funding round was led by Work-Bench, with participation from Runtime Ventures, Operator Partners, and notable tech founders such as Shay Banon (Elastic), Jon Oberheide (Duo Security), Monica Sarbu (Xata), and Andrew Morris (GreyNoise).

A Fresh Approach to Reliability Engineering

Engineering teams face increasing challenges to deliver reliable services in complex software environments.

From open-source dependencies to service misconfigurations, the issues can disrupt releases and inflate cloud costs by up to 30%.

Prequel’s platform, powered by a patent-pending AI detection engine, aims to mitigate these problems by flagging precise failure conditions and offering actionable mitigation steps.

“Engineering teams are stuck in an endless cycle of reactive firefighting,” said Lyndon Brown, co-founder and CEO of Prequel. “We leaned on our cybersecurity experience to define a better way.”

Community-Driven Knowledge Base

Central to Prequel’s approach is a global knowledge base of failure patterns, supported by the Prequel Reliability Research Team (PRRT) and an open community, detect.sh.

By sharing insights and failure fingerprints, the platform continuously enhances its detection capabilities.

“Prequel’s technology uniquely enables reliability outcomes, helping companies confidently accelerate releases while avoiding outages,” said Kelley Mak, General Partner at Work-Bench.

Prequel is already showing results, with users reporting a 32% boost in engineering velocity.

With its new funding, the startup is set to expand its reach and further its mission to transform how enterprises ensure software reliability.

Feature Image Credit: Prequel