Tsuga

๐Ÿ“‚ Software Enterprise๐Ÿ“‚ Artificial Intelligence๐Ÿ“ Paris๐Ÿ—“๏ธ Founded: 2024

Tsuga helps companies monitor, understand and fix distributed software and AI systems while keeping telemetry inside the customer's cloud.

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Podcast Episode

๐ŸŽ™๏ธ Deep Dive

Tsuga, Astral Systems, VARM โ€” AI observability, medical isotopes and retrofit become infrastructure โ€” Daily News June 23, 2026

Listen to the episode

About Tsuga

Tsuga is a Paris-based enterprise software startup founded in 2024. The company develops an AI-native observability platform for companies running cloud systems, AI agents and distributed infrastructure. Its โ‚ฌ30M Series A strengthens its positioning as an operational control layer for enterprise AI.

The Story

Tsuga was founded in 2024 by Gabriel-James Safar and the Tsuga team to address the growing complexity of AI-native software systems.

How Tsuga works

Business Model

Enterprise SaaS deployed inside the customer's cloud.

Revenue Model

Enterprise contracts; the source mentions six-figure annual contract values but does not disclose detailed pricing.

Products & Services

Key Products

  • AI-native observability platform

Core Use Cases

  • Monitoring AI agents
  • Cloud observability
  • Incident detection
  • Software resilience

Market & Clients

Key Customers

Customers cited include Black Forest Labs, Le Monde, Camunda and Buk.

Geographic Presence

FR

How Tsuga competes

Competitors

DatadogNew RelicDynatraceGrafana Labs

Competitive Advantages

  • AI-native architecture
  • Deployment inside customer cloud
  • Telemetry remains under customer control

How Tsuga grows

Growth Strategy

Expand commercially across enterprise customers and complex cloud infrastructure.

Distribution Model

Direct enterprise sales.

Moat (Defensibility)

Deep integration into customer cloud systems and ability to analyse complex AI-native environments.

Regulatory Context

Relevant for companies with data governance, data sovereignty and cloud security requirements.

Key Risks

  • Competitive market with strong incumbents
  • Technical deployment complexity
  • Long enterprise sales cycles

Strategic Insights

  • Observability is becoming critical infrastructure for enterprise AI.
  • In-cloud deployment addresses data control and sovereignty requirements.
  • Companies buy tools that reduce operational risk, not only productivity gains.

Funding & Investors

Funding Rounds

  • 2026 - Series A: โ‚ฌ30M / $35M
    Lead: Singular

Key Investors

SingularGeneral CatalystDST Global PartnersQuantumLightPicus CapitalDatabricks Ventures

Founding Team

Founders

Gabriel-James SafarCo-founder & CEO

Key Executives

  • Gabriel-James Safar - Co-founder & CEO

Key Metrics

Series A roundโ‚ฌ30M / $35M (2026)

Lessons from Tsuga

  • Selling AI to enterprises also requires control, auditability and resilience.
  • Customer-cloud deployment can be an advantage in regulated markets.
  • Post-deployment problems are often more monetisable than initial demos.

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Sources

๐ŸŽ™๏ธ Scalable Podcast โ€” European startup stories ยท ๐Ÿ‡ฎ๐Ÿ‡น in Italian
Spotify ๐ŸŽง Apple