Resolve AI has raised $125 million at a unicorn valuation as enterprises adopt AI-native tools to manage increasingly complex infrastructure.
Enterprise AI startup Resolve AI has confirmed it has raised $125 million in new funding, pushing the company to unicorn valuation status as demand accelerates for AI-driven site reliability engineering (SRE).
The funding highlights a growing shift among large enterprises: reliability, not experimentation, is becoming the defining challenge of AI adoption.
AI-native reliability becomes critical
As companies deploy generative AI into production systems, traditional monitoring and DevOps tools are struggling to keep pace. Resolve AI positions itself as an AI-first reliability platform, designed to detect, diagnose, and remediate incidents autonomously.
Instead of alerting human engineers after failures occur, the platform aims to resolve incidents before customers notice them.
Why investors are backing Resolve
Unlike consumer-facing AI startups, Resolve sits deep inside enterprise infrastructure. That positioning offers:
- High switching costs
- Long-term contracts
- Mission-critical use cases
Investors increasingly view AI SRE as foundational infrastructure rather than optional tooling.
A crowded but maturing market
While observability and DevOps markets are competitive, Resolve differentiates itself by embedding AI agents directly into operational workflows rather than layering analytics on top.
This reflects a broader trend: enterprises want automation that acts, not dashboards that explain problems after the fact.
The bigger signal
Resolve’s unicorn valuation suggests that AI infrastructure spending is shifting from model training to operational resilience. As AI systems become permanent fixtures, keeping them stable may matter more than making them smarter.
