French observability startup Tsuga lands €30 million to expand AI agent platform - EU-Startups

2026-06-23 · Source: Series A" OR "Series B" OR "Series C" AI startup via Google News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Data Science & Analytics · Depth: Intermediate, short

Summary

French observability startup Tsuga, founded in 2024 and based in Paris, has secured €30 million (\$35 million) in a Series A funding round. This capital injection will be used to scale its go-to-market efforts and accelerate the rollout of its AI agent platform, which offers AI-Native Resilient Observability. The round was led by existing investor Singular, with participation from General Catalyst, DST Global Partners, Quantumlight, Picus, and Databricks Ventures. Tsuga's platform differentiates itself by deploying within the customer's own cloud environment (Microsoft Azure, AWS, Google Cloud, sovereign clouds), ensuring telemetry never leaves their control. This architecture reportedly eliminates infrastructure costs, avoids data sampling, and allows AI to operate on complete data, addressing the limitations and spiraling costs of traditional observability models in the AI era. The company has achieved several millions in revenue with six-figure average contract values, serving customers like Black Forest, Le Monde, Camunda, and Buk.

Key takeaway

For Directors of AI/ML or Cloud Operations evaluating observability solutions, Tsuga's €30 million funding highlights a critical architectural shift. Your current telemetry costs and data governance risks likely stem from legacy models. Consider adopting in-cloud observability platforms that eliminate infrastructure taxes and sampling, ensuring complete, secure data for your AI-native applications and autonomous deployments. This approach can significantly reduce spend and enhance reliability.

Key insights

Tsuga's AI-native observability platform redefines data control and cost efficiency by deploying directly within customer cloud environments.

Principles

• Traditional observability models are unsustainable for AI-era data volumes.
• In-cloud deployment eliminates infrastructure tax and data sampling.
• AI-native applications require new observability architectures for scalability.

Method

Tsuga's platform deploys inside the customer's own cloud account across major providers, ensuring telemetry remains within their environment, eliminating third-party ingestion, and charging a single rate per GB of consumption.

In practice

• Reduce observability spend by eliminating third-party ingestion costs.
• Enhance data governance by keeping AI telemetry in your cloud.
• Support AI agent loops with complete, unsampled observability data.

Topics

• Tsuga
• Observability
• AI Agents
• Series A Funding
• Cloud Operations
• Data Governance
• AI Infrastructure

Best for: CTO, VP of Engineering/Data, AI Architect, Tech Journalist, Investor, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Series A" OR "Series B" OR "Series C" AI startup via Google News.