platoseed
Observability platform for operations teams
Avenue is a simple way for business teams to set up alerts from their database or data warehouse. Think Datadog / PagerDuty for operations teams. Operations teams create set-and-forget alerts on all their data, so they can be more proactive with their time (and monitor on more nuanced triggers than just what fits on their dashboard page). Avenue can improve response times to critical problems from several days to real-time by alerting directly on the data sources that customers already use.
Avenue positions itself as an observability and operations automation platform, offering real-time alerts and playbooks to manage operations from a centralized command center. It emphasizes ticketing off data warehouses and coordinating across tools to reduce manual monitoring.
Avenue connects to data sources (e.g., Google Sheets, Postgres) and provides a drag-and-drop playbook builder or an Operational AI Copilot to create alerts from a visual editor. It automates follow-up actions by routing notifications to the right teams, syncing alerts and messages across Slack, Linear, and other tools, and delivering rules-based alerts, playbooks to close loops, and quantitative metrics to improve operations.
Who itβs for: Operations teams in complex environments across industries that use data warehouses and multiple tooling integrations.
funding mentions include YC, Slack Fund, Accel; mentions of backing and growth signals, partnerships and customer testimonials
Co-founder & CTO of Avenue, an observability platform for operations teams. We let ops teams connect their data sources, define alerts, and respond proactively to important events. We are currently hiring software engineers to build the future of ops tooling. Previously, I was a software engineer at Amazon working on the Alexa AI team. Along with my co-founder Justin, I also built and marketed several iOS apps when we were in high school, amassing 300k+ downloads.

Delivery Analytics for Software Teams

Data observability for modern data teams