Greylock Partners

1/ With a long history of partnering w/ founders from idea to IPO, we @GreylockVC are excited to announce 2 new updates to advance this mission: 1/ Fund 17, our new $1B early-stage fund 2/ Edge, a bespoke program to help founders initiate new companies bit.ly/45fLmcr

Three important updates from Cresta, the leading AI platform for customer experience, today 1. Cresta has crossed $100 million ARR, with annual growth rate >100% and accelerating 2. Doug Leone @dougleone is now the company's chairman 3. Carl Eschenbach @carl_eschenbach has rejoined the board of directors Excited to see @cresta accelerate at scale.

Organizations often have to throttle the telemetry they share with their cybersecurity applications. The result: AI systems are asked to defend environments without full visibility or context. Read our CEO @nirzuk's thoughts on how we’re approaching this problem: linkedin.com/pulse/sovereig…

Let's go! @PashaGur @itamartal @OfriZiv @ArieZeitlin @anermazursky @NathanPerdue2 💪 finance.yahoo.com/sectors/techno…

Thank you to @TBPN for the thug life glasses 🕶️ It was great coming on the show and speaking with @jordihays and @johncoogan yesterday to talk AI for prod, our recent funding, and Resolve AI Labs! @resolveai

We recently announced the formation of Cylake’s Board of Directors, bringing together leaders who have helped build and scale some of the most consequential cybersecurity companies. We asked @chandna why he chose to join the board and what he sees changing in cybersecurity.

Today, @resolveai is announcing the launch of Resolve AI Labs and a $40M Series A extension at a $1.5B valuation, with DST Global and Salesforce Ventures joining us. A thesis we've been developing at @GreylockVC: the winning AI-native companies will be full-stack and need to own the model, the harness, and the product surface. The hardest verticals demand optimization at every layer of the stack to drive the domain-specific accuracy, reliability, and long-horizon reasoning these workloads require. Production engineering is exactly that kind of domain. Resolve AI Labs is Resolve's move into owning the full-stack. To lead it, @spirosx and @maynkag recruited Dhruv Mahajan as Chief AI Scientist, who most recently led post-training for large-scale Llama foundation models at Meta Superintelligence Labs. Sean Bell, who led all pre-training data efforts for Meta foundation models, is joining alongside him. And we have a few more incredibly talented researchers joining soon. The customer momentum continues to accelerate at Resolve on the back of their full-stack approach. Meir Amiel, President and Chief Trust and Infrastructure Officer at Salesforce, said it well: Resolve has changed how their teams work through production incidents, and their engineers are now focused on the work that actually drives impact. Onwards!

Exciting news from the @resolveai team this morning! Resolve announced additional Series A funding at a $1.5B valuation, bringing their total raised to over $190M in just 18 months since emerging from stealth with a seed round led by us at @GreylockVC. They are also launching Resolve AI Labs, a dedicated research initiative focused on the domain-specific models, evaluation systems, and agentic architectures needed to make AI truly reliable in production environments. Leading the effort is Chief AI Scientist Dhruv Mahajan, who previously led post-training for Meta's Llama foundation models. And it doesn't stop there. Resolve AI was also named to the @Forbes AI Brink List, recognizing the 20 most promising Seed and Series A-stage startups building in AI. Congratulations to @spirosx, @maynkag, and the entire team on the incredible momentum. And welcome, Dhruv! cc @saammotamedi & @CorinneMRiley

Today we announced Resolve AI Labs, backed by an additional $40 million in our Series A Extension at a $1.5 billion valuation, led by DST Global and Salesforce Ventures. This brings our total funding to more than $190M. Production environments generate the most complex data in software: logs, metrics, traces, topology, change history. All of it noisy, ephemeral, and constantly shifting. In incidents, this complexity becomes a crisis. Resolve sits inside the world's most complex production environments, like Coinbase, DoorDash, and Salesforce. Two years operating inside them is the foundation Labs is built on. The next generation of AI agents will operate across long horizons, watch production continuously, and act autonomously. Resolve AI Labs is our dedicated research arm pursuing frontier model performance at a fraction of the cost, purpose-built for production reasoning. Leading it is Dhruv Mahajan, who led post-training for large-scale Llama foundation models at Meta. We couldn't be more excited to have him.

Today we're announcing the launch of Resolve AI Labs and an additional $40 million in our Series A Extension at a $1.5 billion valuation led by DST Global and Salesforce Ventures. Agents that debug and run production is way more than a harness on top of a frontier model pointed at infrastructure. Requires dealing with practically infinite data, tens to tools, very complex reasoning trees, and very long horizon tasks. Simple agents on top of frontier models fall short on accuracy, reliability and performance. Resolve AI Labs is our investment in building SOTA agents and models for production engineering, a very deep and wide domain that we feel can be better served with domain optimized models. To do that we convinced Dhruv Mahajan to come and lead the lab. Dhruv has deep expertise in AI and LLMs and most recently led post-training for large-scale Llama foundation models at Meta. Alongside Dhruv, Sean Bell led all pre-training data efforts for Meta foundation models has joined us as well. We are also excited to announce additional researchers soon.

Is it time to wear these again 😂

@GreylockVC Thought today would be a good day to finally make a public X account. Couldn’t be more excited to join Greylock!

Excited to welcome the newest member of the @GreylockVC investment team: @NeimanMathew. Neiman is very passionate about working with the best engineers, researchers and product managers, to brainstorm and help initiate and build the most important companies in the AI era. At Greylock, he'll be focused on partnering with early-stage founders often even before they have a business idea, and particularly around the next generation AI stack. Read more about Neiman 👇 greylock.com/firm-news/welc…

Humans simply don't scale. So we created AI hackers that find vulnerabilities created by humans or other AI agents - and we're seeing they're better than humans 99% of the time 🎯 Thanks @NYSE for a riveting conversation with CEO @PashaGur on the sidelines of @OneRSAC.

Excited to be a founding board member & investor at @CylakeAI. Thrilled to be working with this legendary group of leaders & friends again: @nirzuk, @jimgoetz, @MarkatPANW. Welcome @InQTeI and Katie Gray as strategic investors: we are honored to have you join. cc: @GreylockVC

Congrats to the 7️⃣ Greylock-backed companies featured on this year's Enterprise Tech 30! The ET30 highlights the most promising private companies in enterprise technology. We are proud to be their partners.

Our top customer has been averaging 60-70% of their PRs merged through @niteshiftdev (100-250 / week) One of the fastest shipping teams I've ever seen Opening up more spots on our waitlist this week - DM me for access

The Next General Partners: These are the 15 venture capitalists who could become general partners, thanks to their success backing fast-growing startups. Read more from @julia_hornstein 👇 thein.fo/4t8m9gz

The Cogent x Anthropic RSA event was a can’t-miss. We brought together a room of CISOs from the largest organizations around the world. The room was packed. 400+ in the waitlist. Insights in 🧵 Thank you @GreylockVC for moderating @OneRSAC @AnthropicAI @captainhaney @snggeng

💥 Launching Quanton Kubernetes Operator for Apache Spark Spark on k8s hitting 33% adoption—trailing Databricks (47%)—but perf tradeoffs sting. 🛑 It standardizes compute with observability/security, cutting costs 50-70% via discounts. 💸 Catch? Vanilla OSS Spark—slow jobs, endless OOMs/shuffle tuning. 😩 Tradeoff: - Managed: Fast, but locked/pricey - k8s: Open/cheap, but ops brutal Our operator drops in: ⚡ 3-4x boosts 🔁 No code changes 🧠 Fewer failures 💰 Runtime savings Same cluster, smarter runs. 🚀 #ApacheSpark #Kubernetes #DataEngineering