Resolve AI

Profile (continued)

On April 16, 2026, Resolve AI announced a $40 million Series A Extension led by DST Global (Rahul Mehta, co-founder and managing partner) and Salesforce Ventures (Zak Kokosa, principal), at a new $1.5 billion valuation, bringing total funding to 'more than $190 million' just 18 months after emerging from stealth. Alongside the raise, the company launched Resolve AI Labs, an applied-AI research effort focused on domain-specific models, evaluation systems, simulated/replay environments, and multi-agent orchestration for production operations, led by newly hired Chief AI Scientist Dhruv Mahajan (previously at Meta, where he led post-training for large-scale Llama models). Forbes covered the milestone under the headline referencing a '$1.5 billion AI startup.'

On August 17, 2026, Resolve AI announced the appointment of Jason Forget as President and founding Chief Revenue Officer, tasked with scaling the go-to-market organization; Forget was previously President and CRO at Cockroach Labs and has scaled multiple enterprise software companies from under $1M to $350M+ in ARR (MBA, Bentley University; BS finance/marketing, Northeastern University). Other senior team members publicly identified via company blog posts include Brooke Daniels (Head of Enterprise & Partnerships, ex-McKinsey Partner, previously worked with Xanthos at ezhome) and Bharath Gowda (Head of Marketing, previously in product/marketing leadership at Databricks).

Resolve AI's named enterprise customers, evidenced via dedicated case-study pages and quoted executives, include Salesforce (Meir Amiel, Chief Trust and Infrastructure Officer / President), DoorDash (Shahrooz Ansari, Sr. Director of Engineering; Alex Danilychev, Jr Engineering Manager), Coinbase (Angelo Marletta, Software Engineer), Zscaler (Chris Umbel, AI SRE Lead), MSCI (Sandeep Contractor, Managing Director of Engineering), Gametime (Jeff Aronhalt, Principal Software Engineer), and Blueground (Andreas Gounaris, Director of Engineering). Reported outcomes include an 87% reduction in incident-investigation time for DoorDash, a 72% faster root-cause identification for Coinbase, and a 30% reduction in engineers required per incident for Zscaler.

Competitively, Resolve AI operates in the emerging 'AI SRE' / AI-for-production category. TechCrunch explicitly named Sequoia-backed Traversal as another startup applying AI to identify and resolve system outages in this space. The company positions itself against both general-purpose LLM wrappers and traditional runbook/automation tools, arguing neither can perform the multi-step causal reasoning required for production incident investigation. Resolve AI also touts SOC 2 Type II certification (in progress/target) and GDPR/HIPAA compliance capabilities as part of its enterprise security posture.

Data-quality notes: (1) The company's own blog CMS shows an anomalous datePublished of 2026-07-17 on both the original 'Introducing Resolve AI' launch post and the 'Resolve AI raises $125M Series A' post, which conflicts with the JSON-LD structured-data 'datePublished' fields recovered directly from each page (2024-09-24 for the launch/seed post and 2026-02-02 for the Series A post, respectively) and with corroborating TechCrunch dates; this narrative uses the structured-data and TechCrunch dates as more reliable. (2) The 'Introducing Resolve AI Labs' blog post carries a datePublished of 2026-04-07, nine days before the associated press release dated April 16, 2026 — likely reflects an internal draft/preview timestamp rather than the public announcement date; the April 16, 2026 press-release date is used as authoritative. (3) Total funding is described by the company as 'more than $150M' after the Series A and 'more than $190M' after the Series A Extension; the arithmetic sum of disclosed round sizes ($35M + $125M + $40M) is $200M, suggesting the company's public figures are conservative/rounded-down approximations rather than precise sums.

Go-to-market

Engineering, SRE, and platform teams at large-scale technology, fintech/financial-services, and consumer-application enterprises with complex, distributed production systems.

Ownership

private