Resolve AI buying intent

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. We are already seeing huge impact at customers like Salesforce , DoorDash , Coinbase , and Zscaler . Meir Amiel, President, Chief Trust and Infrastructure Officer at Salesforce, put it well: "Resolve AI has changed how our teams work through production incidents. What used to take hours of manual investigation and coordination across teams now gets resolved in a fraction of the time. Our engineers aren't only faster, they're focused on the work that actually drives impact." The team we've assembled over the past two years is going to build a world where AI removes the burden from engineers and removes the constraints from production for good. I’m very excited to continue this journey with Mayank Agarwal and the Resolve team! Mayank, Dhruv, and I spoke with Forbes about the news. See the full story: https://lnkd.in/gC7QTAM9