Paris-based Tsuga raises €30M Series A to scale AI-native observability that keeps data in-house

Paris-based Tsuga has raised a €30 million ($35 million) Series A to scale what it calls "AI-native resilient observability." The round was led by existing investor Singular, with General Catalyst, DST Global Partners, Quantumlight, Picus and Databricks Ventures joining.

The cost of knowing your systems are healthy

Observability is the practice of watching the internal state of software — the logs, metrics and traces that tell an engineering team whether a system is healthy and, when it is not, where it broke. It is indispensable, and it has become expensive. The dominant model prices by the volume of data ingested, which means costs rise in lockstep with the very growth that makes monitoring necessary in the first place.

That is the pain founder and CEO Gabriel-James Safar names directly: "Every customer we speak to is paying more for observability than they were two years ago and getting less reliable coverage." His framing is that the industry has coupled price to data volume and, in doing so, pushed teams to collect less than they should — sampling away the signal precisely when systems get complex.

Keeping the data where it lives

Tsuga's architectural answer is to deploy inside the customer's own cloud, so telemetry never leaves their environment. Two things follow. The first is governance: regulated industries and security-conscious teams no longer have to forward sensitive operational data to a third-party vendor. The second is economics: when the data does not move, the pricing logic that ties cost to ingestion volume loses its grip.

On top of that substrate sits the part the Series A is meant to accelerate — a layer of AI agents that triage incidents and act on the telemetry where it already lives. Putting the agents next to the data, rather than shipping the data to the agents, is the throughline of the whole design.

A 2024 company moving fast

Founded only in 2024, Tsuga is early, and the investor list is the clearest read on the round. Singular leading again signals conviction from the team that knows the company best; the presence of Databricks Ventures points at the data-infrastructure thesis, and General Catalyst and DST Global Partners bring scale-stage firepower unusually early for a company this young.

The capital goes to two places: building out the go-to-market motion and pushing the AI agent platform into wider release. The wager underneath is that observability's next chapter is not about collecting more data more cheaply, but about who controls it — and whether the agents reading it can sit close enough to act before a human has to.