Resolve positions itself in the broader category of AI for production tools that diagnose and fix issues in complex software systems, competing with other AI coding and cybersecurity startups.

The founders come from OpenTelemetry and Omnition, with Splunk experience shaping their mission to reduce on-call burnout and improve reliability.

The company has around 140 employees, including more than 20 hires from Google DeepMind, and uses a credit-based pricing model tied to platform work rather than a fixed per-use fee.

Customer impact includes major incident investigation gains, with DoorDash cutting investigation time from about 40 minutes to about 1 minute and improving root-cause identification by up to 87%, and Coinbase reporting 72% faster incident resolution.

The approach blends multiple AI models and tools to analyze logs, metrics, and hypotheses, with a human-in-the-loop that is evolving toward a human-on-the-loop model.

Resolve has raised substantial funding, including a $40 million extension after a $125 million Series A, pushing total funding above $190 million and valuing the company at about $1.5 billion.

A strategic move is building an internal AI lab to develop end-to-end production workflow tools, led by Meta veteran Dhruv Mahajan to boost cross-team orchestration and reliability.

Resolve AI was founded in 2024 by Spiros Xanthos and Mayank Agarwal to automate production issue response and reduce on-call burnout for site reliability engineers.

Industry challenges include the risks of relying on AI to write or modify production code, potential security and reliability concerns, and incidents like AI-assisted changes contributing to outages, underscoring the need for strong safeguards.