Wild Moose

Problem: Production chaos is real, and interferes with fast delivery

These days, there's immense pressure for organizations to constantly innovate. To achieve this, you need to aggressively minimize distractions. It's crucial to eliminate the constant stream of alerts, often leading to full nights of stressful debugging.

Solution: AI agents can knock down issues before they get to engineers

Our AI agent kicks off every investigation by querying logs, metrics, DBs, and code to surface information and resolve issues. The initial steps in investigations are predictable and automatable, but they take time for a human to perform. We save that time. In many companies this simple step already cuts MTTR by 50%.

▶️▶️ Chat with us to join the beta.

How it works:

1. Collects data from monitoring data sources
   When a new production issue is found, the moose kicks off by collecting data from your monitoring data tools, such as Datadog, Snowflake, New Relic, Cloudflare, etc.

2. Generates an enrichment report
   The moose runs an investigation in real-time, analyzing the data collected to present its findings.

   

3. Concludes and recommends next steps
   The moose presents a summary of its findings along with recommended next steps, focusing on impact and mitigation.

   

4. Improves over time
   You can indicate what information was useful or ask the moose to fetch more. Based on this feedback and an underlying model of your system, our model learns over time the actions it should take in different scenarios.

   

Try it out and tell us what you think!

▶️▶️ Let’s chat and get you on our beta.

We’re looking to work with companies that are making an effort to improve their reliability, preferably companies that already measure MTTR or are interested in starting to do so.

• You don’t have to prepare your data or monitoring tools. We know things are often messy - our model works just as well with data that is unstructured
• You do need to have your logs and/or metrics stored in a SaaS platform (Datadog, New Relic, Coralogix, etc.).