Empirik, a new observability tool that uses AI to predict infrastructure outages, has raised $21 million in seed funding and is now spinning out as an independent company.
Empirik, the AI‑powered observability platform incubated at Sequoia Capital, announced a $21 million seed round and is spinning out as an independent company.
Funding round and investors
The seed round was led by Sequoia Capital, with participation from Andreessen Horowitz and several angel investors. The capital will be used to expand the engineering team, accelerate product development, and scale the platform for enterprise customers.
How Empirik predicts outages
Empirik leverages large‑language models and time‑series analysis to ingest telemetry from servers, networks, and cloud services. By correlating anomalies across metrics, the system generates early‑warning alerts that aim to surface potential failures hours before they impact users.
The platform integrates with existing monitoring stacks such as Prometheus, Datadog, and New Relic, allowing teams to add predictive insights without replacing their current tooling.
Market context
Observability markets have seen rapid growth as enterprises adopt multi‑cloud architectures. Predictive analytics is a next‑generation capability that promises to reduce mean time to resolution (MTTR) and lower downtime costs.
- Reduced MTTR through proactive alerts
- Lower operational overhead for SRE teams
- Improved service reliability for end users
Empirik’s founders, former engineers at Google Cloud and Snowflake, say the company aims to shift the industry from reactive incident response to proactive outage prevention.
We want to give operators the ability to see a failure before it happens, turning outages into a thing of the past.
The startup plans to launch a beta program later this quarter, targeting high‑traffic SaaS providers and large enterprises that rely on continuous availability.
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