
Founded by Topaz Turkenitz & Dudu Lasry
Topaz (CEO) - Spent years at Snyk (a hyper-growth unicorn) building and maintaining large distributed systems, leading PLG experiments and achieving 99.9% uptime for her teams services.
Dudu (CTO) - has seven years of experience working at rapidly-growing technology startups, including Google, Viz.ai and SafeBreach. Dudu was a deep-learning algorithm engineer at Viz.ai. He contributed to cutting-edge projects that leverage computer vision for healthcare applications and also worked on large-scale distributed systems.
They both dealt with daily alerts and the daily monotony of triaging, tuning and maintaining services observability. This time spent all came at the expense of working on more impactful customer focused work.
They believe that pairing the strength of AI to pattern-match, classic AIOps and heuristics from their own experience can unlock a new experience for developers.
https://www.youtube.com/watch?v=oUFv42CAaTY
Vespper is an on-call engineer running 24/7 to troubleshoot your alerts and surface the right data to help you resolve your issue so incidents never falls through the cracks.
Whether your company is going through growing pains, needs a better handle at dealing with SEV0 or has too many low priority unsolved issues - Vespper will adapt to your needs to democratize expert knowledge across your organization.
Most companies drown in alerts and there are too many alerts to handle.
Vespper is a multi-agent system that triages alerts, troubleshoots them and sends findings in seconds to Slack. It’s connected to internal tools (observability, incident management, knowledge management, codebases and more) and can surface problems & identify patterns in the oceans of data you have.
At the moment, they support popular tools such as:
Vespper is a system that’s comprised of multi-agents and AIOps models. Behind the scenes, they run & coordinate multiple agents and tools that help identify suspicious patterns from your environment.
Using Vespper is easy.
Once the integrations are connected, they automatically trigger advanced data ingestion pipelines that starts scraping data from your environment. This is used to train the bot. You can see the status of the ingestion & training in our web UI.
Once the system is ready, it will start triaging alerts for you, post an hypothesis on Slack and show you all the automatic checks it made!