Lessthan3

lessthanthree.tech ↗ ·Oviedo ·Pre-seed

Lessthan3 is a Spanish DevOps company that has evolved from cloud/infrastructure consulting into a SaaS product: an AI-driven "predictive observability" platform that monitors cloud and on-premise infrastructure in real time, anticipates failures and automates DevOps, SecOps, GreenOps and FinOps operations. Founded in 2023 in Oviedo (Asturias) and employing roughly 20 people, it closed a €455,000 pre-seed round in April 2025 led by T4i with participation from ENISA, and reportedly secured a further €325,000 in public innovation funding in early 2026.

Founded

2023

Founders

Total funds raised

€455K

SectorsDevOps, Cloud Infrastructure, Observability, SaaS, AI, Enterprise Software Start-up MapEnterprise Software › Infrastructure & operations software

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Founders

Fernando del Pozo

Co-founder & Director of Strategy

Israel Gayoso Pérez

Co-founder & CEO

Global models 5

Grafana Labs

United States · grafana.com ↗

Sells a SaaS observability platform that monitors cloud and on-premise infrastructure in real time, with AI-assisted alerting and cost management, to DevOps and SRE teams.

$805MComparable

Harness

United States · www.harness.io ↗

Sells an AI-driven DevOps automation SaaS that combines delivery automation, cloud cost management (FinOps) and security operations, the same DevOps/FinOps/SecOps bundle Lessthan3 targets.

$570MComparable

Observe

United States · www.observeinc.com ↗

Subscription observability platform that uses AI to spot and troubleshoot infrastructure and application problems before they turn into incidents.

$480MComparable

Chronosphere

United States · chronosphere.io ↗

Cloud-native observability SaaS sold to engineering teams, with an emphasis on keeping cloud telemetry costs under control, similar to Lessthan3's monitoring plus FinOps pitch.

$343MComparable

BigPanda

United States · www.bigpanda.io ↗

AIOps platform that analyses infrastructure monitoring data to predict and automate incident response for IT operations teams, matching Lessthan3's 'predictive observability' model.

$196MComparable