Startup profile for Resolve AI: latest funding, latest known valuation, total disclosed funding, investors, status, sources, and why the company is interesting. Part of the Venture Capital Tracker startup directory.

Startup profile · funding coverage

Resolve AI funding, valuation and investors

AI-native platform for operating production infrastructure through agentic investigation, diagnosis and supervised remediation.

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Funding, valuation & investors

Answer-first snapshot

Latest funding

Series A extension

$40M at $1.5B valuation · April 16, 2026

Latest known valuation

Not publicly disclosed

Total disclosed equity funding

$165M

Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.

Current status

private

series a · San Francisco, CA

Sources: latest funding · prnewswire.com Last verified: 2026-11-05

Overview

San Francisco company founded in 2024 by observability veterans Spiros Xanthos and Mayank Agarwal, former Splunk executives and OpenTelemetry contributors. Resolve builds production-specific agents to investigate alerts, collect evidence across telemetry, understand service dependencies and propose or execute permitted operational fixes.

Its enterprise customers cited by the company include Coinbase, DoorDash, MongoDB, Salesforce and Zscaler. Resolve announced $125M Series A led by Lightspeed on February 4, 2026 at $1B valuation and a $40M extension led by DST Global and Salesforce Ventures on April 16 at $1.5B.

The company said cumulative funding exceeded $190M; its historical seed check size is only separately available from funding databases, so no company-verified seed amount is assumed.

Why Resolve AI is interesting

A direct Traversal rival that announced $125M Series A at $1B in February 2026 and a $40M extension at $1.5B two months later; the rapid repricing tests whether AI SRE can become a large independent software category.

Product & use cases

Production AI agents for alert investigation, cross-signal root cause analysis, production-specific context, and supervised remediation.

  • Analyze complex incidents by querying monitoring, deployments and systems
  • Generate actionable root cause hypotheses supported by telemetry
  • Suggest fixes, run diagnostics and validate recovery under configured permissions

Funding history (newest first)

Series A extension

2026-04-16 $40M at $1.5B valuation

Source: Read source · prnewswire.com

Series A

2026-02-04 $125M

Source: Read source · resolve.ai

Seed (2024)

Amount not independently company-confirmed

Source: Read source · resolve.ai

Investors in our directory

Funds linked from Resolve AI's profile — open a fund page for stage focus and related deal articles.

Competitive landscape

Edge: Deep observability backgrounds and models designed for production context; proof of autonomous action safety and economics remains vendor-specific.

The closest alternatives differ by whether they investigate existing telemetry, orchestrate incidents, evaluate AI agent behavior, or prevent adversarial exploitation. Selection should be based on representative task-level tests, deployment permissions, data control and total ownership cost.

  • Traversal direct

    Causal Search Engine and production world model

  • Cleric direct

    Read-only diagnosis and continuous change verification

  • Datadog Bits Investigation adjacent

    Native agent over Datadog stack

Industries

Market / IPO context

Editorial / static context — not a live quote.

FAQs about Resolve AI

Practical answers founders, operators, and investors typically search for.

AI-native platform for operating production infrastructure through agentic investigation, diagnosis and supervised remediation. Production AI agents for alert investigation, cross-signal root cause analysis, production-specific context, and supervised remediation.
Compare its exact domain (production SRE, incident workflow, model observability or adversarial security), source evidence and level of production access; these categories are not interchangeable.

By Venture Capital Tracker

Last updated:

Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.