AI SRE platform to run production reliably
San Francisco, CA
Joined August 2024
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MSCI is experiencing 17x faster root cause analysis and 77% fewer reported incidents with ResolveAI.
"ResolveAI has reversed on-call from human-led and AI-assisted to AI-led and human-assisted." -Sandeep Contractor, Managing Director, Hybrid Infrastructure Engineering
Full story: resolve.ai/customers/msci
ResolveAI retweeted
What does it take to outperform the frontier labs in the SLDC?
At @ResolveAI, it has taken two approaches. First, we have a very deep domain understanding of running production systems (ex founders of Kubernetes and OpenTelemetry on staff), and an equally deep understanding of and intuition for the models themselves (ResolveAI Labs, led by @dkm2110). Second, we've been hyper-focused on one singular problem which has allowed us to go deeper in production than anyone else can.
And the results have shown: compared to a frontier model with a very good harness, Resolve is more accurate and 30-40% faster on critical production issues. On very hard problems like difficult incidents, Resolve solves twice as many.
ResolveAI retweeted
Congratulations to the Lightspeed-backed companies highlighted on the AI Disruptors 60 List!
The list was curated by @GreenfieldVC and unveiled at @TechCrunch Disrupt this week to celebrate companies driving AI innovation in creative ways.
Among those named to the #Disruptors60 Class of 2026 are Lightspeed portfolio companies @accomplish_ai, @judgmentlabs, Naboo, @OligoSecurity, @PatronusAI, @reactorworld, @resolveai, and @RicursiveAI.
Congratulations to every Lightspeed-backed team featured on the list. We’re proud to support visionaries in the AI space.
Back by popular demand: Bag More 9s bags!
Find us at GitHub Universe on Oct 28-29 to learn how you can improve your software's reliability with ResolveAI.
We'll have demos for you to watch, Resolve engineers for you to bounce ideas off of, and probably the best bags at Universe for you to take home.
We’re honored to be named to the @techcrunch #Disruptors60 Class of 2026!
From 17x faster root cause identification at MSCI to 87% less time to root cause at DoorDash, our team is building something that’s delivering real results.
Thank you to our team, customers, and partners!
Are enterprises really hiring more engineers amid AI advancements?
What's the best ROI that AI can give to engineering orgs?
And how are engineering leaders building trust with AI agents?
We sat down with four of our customers from MSCI, Zscaler, Toast, and Motive to answer those questions and more at our second annual Engineering Leadership Forum.
Read more: resolve.ai/blog/what-enginee…
ResolveAI retweeted
Hosted by @baseten, Spiros Xanthos (@spirosx) from @resolveai and Greylock's @CorinneMRiley sit down to talk what it takes to out-execute the labs in the full SDLC.
💙 + 💛 + 💚🩷
ICYMI: we're giving away a limited amount of Hero of Prod shirts!
Share a story on LinkedIn or X of a someone who's answered the late-night page to keep production running, and we'll send you both a limited-edition Hero of Prod shirt.
Once posted, share the link and your shirt size here: resolve.ai/heroes-of-prod
Machines on-call for humans.
ResolveAI retweeted
the most interesting thing happening in AI x code today?
speaking with @spirosx about production engineering, AI SREs, and how @resolveai has been out-executing the labs in the SDLC
thanks @baseten for hosting
luma.com/baseten-8li0
The systems we use and rely on daily are supported by engineers who answer the late-night page and go to heroic lengths to keep prod running.
They tend to go by titles like SRE, production engineer, or simply on-call engineer.
At ResolveAI, we prefer Hero of Prod.
Introducing our inaugural Heroes of Prod cohort! They represent the thousands who keep the world’s software running every day.
And we don’t want to stop there: If you know an engineer who’s gone to heroic lengths to keep production running, nominate them as a Hero of Prod below 👇️
resolve.ai/heroes-of-prod
Machines on-call for humans.
Nearly two years ago, we introduced the idea to a market still in its infancy.
Fast forward to today, that idea is taking off from concept to reality with some of the largest enterprises deploying Resolve into production and on-call rotations weekly.
Try out Resolve today: resolve.ai/
ResolveAI retweeted
What makes a founding team worth betting on?
For Unusual’s John Vrionis: a technology inflection, deep customer empathy, domain expertise, rapid learning, and the conviction to pursue something fundamentally different.
John has known @resolveai’s @spirosx for nearly 20 years and worked with him and @maynkag across three companies.
We believe their technical depth, humility, and non-consensus conviction make them exceptional founders. We’re grateful to partner with them.
Read more about the new capabilities with Resolve AI Plugin:
resolve.ai/blog/resolve-ai-p…
LLMs are extremely good at generating large volumes of knowledge, but ensuring that knowledge is useful is where the real value lies.
Listen to our very own @swaritjoshipura describe why a production agent is DOA if it lives inside a single or limited number of tools, and why Resolve queries your stack live at runtime instead of ingesting it.
Evals. Evals. Evals. Hillclimb. Hillclimb. Hillclimb.
-Dhruv Mahajan, Chief AI Scientist at Resolve AI
Don't fall for the 80% trap. With a production agent, the hard part is the last 20%. You need a loop to keep those models improving, and that loop requires evals built against your own production.
Creating the right evals is a core ML problem: easy to get wrong, easy to make too easy, and hard to know what you should be climbing toward. It's not a project you finish, and most teams aren't staffed or ready for that.