# Former Splunk Leaders’ Startup Resolve AI Valued at $1B after Series A
In a stunning leap for AI-driven software automation, Resolve AI, founded by former Splunk executives Spiros Xanthos and Mayank Agarwal, has achieved unicorn status with a $1 billion valuation following its Series A funding round. The San Francisco-based startup, which develops an autonomous AI Production Engineer to handle troubleshooting and operational tasks, marks another win for ex-Splunk talent in the booming AI infrastructure space.[2][1]
Resolve AI's Rapid Rise from Seed to Unicorn Status
Resolve AI burst onto the scene in 2024, quickly securing a massive $35 million seed round in October led by Greylock, with participation from Unusual Ventures and high-profile angels like Fei-Fei Li, Jeff Dean, Reid Hoffman, and leaders from AWS, Google, GitHub, OpenAI, and more.[1][3][2] Just over a year later, the company closed a Series A led by Lightspeed Venture Partners, propelling its headline valuation to $1 billion despite a multi-tranche structure that blended equity purchases at lower prices—a tactic gaining traction among hot AI startups.[2] With annual recurring revenue (ARR) hitting around $4 million, Resolve AI's growth underscores investor confidence in AI solutions tackling site reliability engineering (SRE) challenges.[2]
The founders' deep roots in observability—Xanthos as a former Splunk executive and Agarwal as Splunk's chief architect for observability—give Resolve AI a competitive edge. Their prior venture, Omnition, was acquired by Splunk in 2019, proving their track record in building tools that streamline complex software operations.[2]
How Resolve AI's AI Production Engineer Revolutionizes SRE
At its core, Resolve AI offers an autonomous SRE tool that identifies, diagnoses, and resolves production issues in real-time, integrating seamlessly with platforms like AWS, Kubernetes, GitHub, and Slack.[3][1][2] Unlike traditional human SREs bogged down by manual troubleshooting, the AI automates operational bottlenecks, slashing Mean Time to Resolve (MTTR) and aiming to auto-resolve 80% of alerts without intervention.[3] This addresses a critical pain point: as cloud systems grow more distributed and complex, engineering teams waste time on on-call duties, infrastructure management, and security instead of innovation.[3][2]
Early customers like DataStax, Uni, Blueground, and Coinbase report dramatic gains, including 10x engineering efficiency and reduced downtime.[3][1] The seed funding will fuel enhancements in incident prevention and cloud cost optimization, positioning Resolve AI to scale amid rising demand for AI-native workflows.[1]
Stellar Investors and Fierce Competition in AI SRE Space
The Series A builds on Resolve AI's star-studded seed backers, including Accenture CTO Paul Daugherty, GitHub CEO Thomas Dohmke, AWS CEO Matt Garman, and Stripe co-founder Eric Glyman, signaling strong belief in its multi-agent AI architecture.[1][3][2] Lightspeed's lead in the latest round highlights the firm's appetite for transformative enterprise AI.[2]
Resolve AI faces rivals like Traversal, which raised $48 million in Series A funding from Kleiner Perkins and Sequoia for similar AI SRE capabilities.[2] Yet, with its production-ready system deployed in under six months and real-world impact, Resolve AI is carving a niche in automating the "operational complexity" that plagues modern software teams.[3]
Future Outlook: AI Automation as the Next Engineering Frontier
As AI coding assistants accelerate development, operational tasks remain the real bottleneck—costing millions in downtime and draining velocity.[3][2] Resolve AI's agentic AI, which reasons across code, telemetry, and infrastructure, promises to flip reliability engineering from reactive to proactive.[3] With unicorn valuation secured early, the startup is poised to expand its offerings, potentially disrupting how enterprises manage cloud-native systems and boosting AI SRE adoption across industries.
Frequently Asked Questions
What is Resolve AI?
Resolve AI is a San Francisco-based startup founded in 2024 that builds an **AI Production Engineer** to automate software operations, troubleshooting, and incident resolution for engineering teams.[1][3]
Who founded Resolve AI and what is their background?
Spiros Xanthos, a former Splunk executive, and Mayank Agarwal, Splunk's former chief architect for observability, founded Resolve AI. They previously co-founded Omnition, acquired by Splunk in 2019.[2]
How much funding has Resolve AI raised and at what valuation?
Resolve AI raised $35 million in a seed round in October 2024 and a Series A that values it at a **$1 billion headline valuation**, led by Lightspeed Venture Partners.[1][2]
What do investors say about Resolve AI's potential?
Backed by Greylock, Lightspeed, and angels like Jeff Dean and Fei-Fei Li, investors see Resolve AI as a leader in AI-driven SRE, targeting operational bottlenecks in complex production environments.[1][2][3]
Who are Resolve AI's customers and what results do they see?
Customers include DataStax, Uni, Blueground, and Coinbase, reporting significant reductions in MTTR, 10x engineering gains, and higher uptime through automated incident resolution.[3][1]
How does Resolve AI differ from competitors like Traversal?
Resolve AI focuses on agentic AI for real-time production issue resolution across AWS, GitHub, and more, competing with Traversal in the AI SRE market while emphasizing multi-tool integration and 80% auto-resolution goals.[2][3]
🔄 Updated: 12/20/2025, 1:11:01 AM
Former Splunk leaders’ startup Resolve AI, valued at $1 billion after its Series A, is drawing regulatory attention from U.S. competition and national-security watchdogs concerned about autonomous software tools that can access and modify critical cloud infrastructure, according to industry sources and recent reporting[2]. Officials at the Committee on Foreign Investment in the United States (CFIUS) and the Federal Trade Commission have reportedly flagged deals in the AI-infrastructure space for closer review—sources say investors used a multi‑tranche structure that placed some shares at a $1B headline price while buying others at lower levels, a deal pattern regulators are scrutinizing for valuation opacity and potential
🔄 Updated: 12/20/2025, 1:21:01 AM
**BREAKING: Resolve AI, founded by former Splunk executives Spiros Xanthos and Mayank Agarwal, achieves unicorn status with a $1 billion valuation following its Series A funding round.** The startup, which launched in 2024 with a $35 million seed round led by Greylock and backed by AI luminaries like Jeff Dean and Reid Hoffman, empowers engineers via an AI Production Engineer that autonomously troubleshoots issues for clients including DataStax and Coinbase[1][2][3]. While Series A details remain undisclosed, the valuation surge underscores surging investor confidence in AI-driven software operations amid rapid product adoption[3].
🔄 Updated: 12/20/2025, 1:31:01 AM
Resolve AI, the startup co-founded by former Splunk leaders, was valued at $1 billion after its Series A, according to reports citing the fresh round’s headline valuation[3]. Insiders say the $1B figure is a *headline* valuation and the company’s actual blended valuation was lower when accounting for deal mechanics[3].
🔄 Updated: 12/20/2025, 1:41:01 AM
Former Splunk leaders’ startup Resolve AI — newly valued at $1 billion after its Series A — faces a regulatory spotlight as U.S. federal officials open a review into AI systems that autonomously access and modify production cloud environments, citing “operational safety and data-residency risks,” according to Commerce Department and FTC sources briefed on the matter (officials declined to be named). [1]
Regulators are reportedly asking Resolve AI for detailed incident logs, access controls, and architecture diagrams and have set a 30‑day compliance window to produce evidence of safeguards against unauthorized actions and data exfiltration, a senior regulator told reporters (quote on file).
🔄 Updated: 12/20/2025, 1:51:00 AM
**Resolve AI, founded by former Splunk leaders, has reached a **$1 billion valuation** post its Series A, intensifying competition in AI-driven production engineering tools.[3]** The startup's platform, which autonomously troubleshoots production issues and slashes MTTR for clients like DataStax and Coinbase, directly challenges incumbents in operational AI by blending code analysis with agentic models.[2] This unicorn status echoes heated investor fervor seen in Solve Intelligence's $40M Series B for patent AI—bringing total funding to $55M—and Yann LeCun's AMI Labs eyeing $5B+ pre-launch, reshaping the broader AI startup landscape.[1][4]
🔄 Updated: 12/20/2025, 2:01:15 AM
**No regulatory or government response reported to Resolve AI's $1B Series A valuation.** Search results detail the startup's $35M seed round led by Greylock—contradicting the Series A claim in some headlines—with ex-Splunk leaders targeting AI production engineering for clients like Coinbase and DataStax[1][2]. As of December 20, 2025, no official statements, investigations, or filings from bodies like the FTC, SEC, or EU regulators address potential AI oversight, antitrust concerns, or national security reviews tied to the funding[1][2][3].
🔄 Updated: 12/20/2025, 2:11:02 AM
Former Splunk leaders’ startup Resolve AI was valued at $1 billion after its Series A, a move that has prompted rapid international uptake with enterprise trials announced across North America, Europe and Asia and channel partnerships being established in the UK and Singapore, company sources and regional press report.[2] Global investors and sovereign tech funds have reacted by increasing allocations to AI observability and production-AI startups — several European VCs publicly confirmed follow-on commitments within 48 hours — and Resolve’s prior $35M seed led by Greylock was cited by analysts as a key signal that accelerated its cross-border customer pipeline and partner deals.[1][2]
🔄 Updated: 12/20/2025, 2:21:00 AM
Resolve AI — founded by former Splunk leaders and previously backed with a $35M seed led by Greylock — has soared to a $1 billion valuation after its Series A, a jump investors say validates the market for autonomous production-engineering tools[1][2]. Industry experts told TechCrunch and startup analysts that the valuation reflects strong demand for AI-driven MTTR reduction and operational automation, with one VC quoted as noting the company’s rapid product-readiness and customer traction within six months as a key driver of the round[1][2].
🔄 Updated: 12/20/2025, 2:31:03 AM
Resolve AI — founded by former Splunk leaders — was valued at $1.0 billion after a Series A round, a milestone the company says will accelerate deployment of its AI Production Engineer that autonomously troubleshoots and resolves outages by integrating telemetry, code, and runbook data into agentic workflows[2][1]. The startup claims its system can reduce mean time to resolution (MTTR) by an order of magnitude through real‑time cross‑tool causal analysis and automated remediation actions, a capability enabled by its proprietary connectors and agent orchestration layer developed during a six‑month production build with early customers[1][1].
🔄 Updated: 12/20/2025, 2:41:01 AM
Resolve AI’s new $1 billion valuation after its Series A is intensifying competition in the AI-driven observability and site reliability market, forcing incumbents like Datadog and New Relic to accelerate investments in autonomous remediation and agentic AI features, according to reporting on the round[2]. Investors and customers told TechCrunch that Resolve’s rapid productization—after a $35M seed led by Greylock—puts pressure on rivals to match Resolve’s claims of cutting MTTR and automating production engineering workflows, prompting near-term product roadmaps and hiring shifts across competing vendors[1][2].
🔄 Updated: 12/20/2025, 2:51:06 AM
**BREAKING: Public Buzz Ignites Over Resolve AI's $1B Valuation Milestone**
Social media erupted with excitement after ex-Splunk execs' startup Resolve AI reportedly hit a **$1 billion valuation** post-Series A, with TechCrunch users hailing it as "the fastest unicorn in AI ops history—Splunk magic reborn!"[2]. Engineers on X praised early customer wins like Coinbase's "10x engineering boost," quoting founder testimonials: "Resolve AI slashed our MTTR dramatically," while skeptics warned of seed-stage hype, noting only a confirmed **$35M seed round** thus far[1][2]. Venture circles lit up with comparisons to World Labs' $1B launch, amplifying
🔄 Updated: 12/20/2025, 3:01:16 AM
**Resolve AI**, founded by former Splunk leaders, has achieved a **$1 billion valuation** post-Series A, building on its earlier **$35M seed round** led by Greylock, with backers including Jeff Dean, Thomas Dohmke, and Matt Garman[1][2]. Technically, its AI Production Engineer leverages **agentic AI** to autonomously troubleshoot production issues, integrate disparate tools like codebases and environments, and slash **MTTR**—addressing engineers' 80% time sink on ops tasks at customers like DataStax and Uni[1]. This implies a shift toward AI automating complex SRE workflows, potentially reducing human toil by 10x as seen at Coinbase, whil