Pace

Excited to share that Pace has been named to the 2026 Enterprise Tech 30 list! 🎉 Wing VC and Newcomer's ET30 is one of the most closely watched signals in enterprise technology, voted on by 90+ leading investors and corporate development leaders to identify the companies defining what comes next. To be recognized alongside companies like Anthropic, Databricks, Harvey, and OpenAI makes this especially meaningful. This year's cohort reflects something we've believed from day one: purpose-built AI for specific industries is winning. For us, that industry is insurance. We're building the agentic AI platform that carriers and brokers rely on to automate their most complex operations across the policy and claims lifecycle. A huge thank you to Wing and Newcomer for the recognition, and to our team for making it happen.

We're headed to London for Insurtech Insights EU! Our team (Lawrence Leeds, Nathan Fletcher, and Max von Schroeter) will be sharing how the world's leading insurers are using Pace to unlock new opportunities in underwriting and claims. If you're attending, reach out to schedule time or stop by our booth #56!

When we set out to build the AI operations partner for the world's leading insurers, the biggest hurdle was reliability inside legacy systems. Working closely with OpenAI to stress-test GPT-5.4, we've seen incredible improvements in accuracy on our most complex computer-use tasks. In a regulated industry where these workflows run thousands of times a day, this kind of improvement marks a sea change in what is actually viable for enterprise automation. Huge thanks to the OpenAI for Startups team for the feature! Want to see how Pace agents can automate your submission intake and FNOL workflows? Check out the full breakdown here: https://withpace.com/

"The next $1T company will be a software company masquerading as a services firm." Spot-on piece from Julien at Sequoia Capital on the shift toward AI-enabled services. At Pace, we're seeing this exact transition play out in the insurance industry right now. The legal industry tipped first. AI copilots helped analysts research and chat across massive volumes of documents. The tool made them faster. Insurance is tipping now, but the requirements are fundamentally different. Instead of just chatting over documents, insurance requires AI agents that can actually execute work. Millions of submissions, endorsements, claims, and policy changes need to be processed every single day. The tasks are well-defined. The SOPs already exist. The work is already outsourced. The future of insurance operations isn't about giving teams another software tool to manage. It's about AI stepping in as a reliable operational partner to actually do the work. A copilot sells the tool. An autopilot sells the outcome. At Pace, we're building the autopilot.

Building AI agents for enterprise insurance requires a level of reliability that, until recently, was incredibly difficult to achieve. Over the past few months, the Pace team has partnered closely with OpenAI to stress-test their newest model, GPT 5.4, on some of the most complex UI in the world. By collaborating with top AI labs, we ensure that the world's leading insurers have access to systems that don't just understand insurance concepts, but can reliably navigate their existing back-office software. Check out the post below from our CEO, Jamie, to see exactly how this looks in production.

Anthropic just released Sonnet 4.6, their most capable model for computer use. We've been testing it with the Anthropic team ahead of today's launch. It hit 94% on our Complex Insurance Computer Use Benchmark. Early Claude models scored around 30% on the same tasks. For the first time, the "mid-sized" Sonnet model has outperformed the heavier Opus 4.6 on our hardest tasks. Pace agents navigate carrier portals, legacy systems, and dense insurance interfaces thousands of times a day. This requires reasoning through edge cases in environments that weren't built for automation. We partnered with the Anthropic team to improve performance on exactly these kinds of workflows. We've seen Sonnet 4.6 self-correct through failures in ways previous models couldn't — and we're already shipping it to our customers. For our insurance partners, this means higher straight-through processing rates and faster turnaround for their policyholders. Grateful to the team for the partnership and the shoutout in the launch blog post.

"For Pace, I had worked with every investor for years, some closer to a decade" Our founder Jamie Cuffe joined the FounderLM podcast to talk about building investor relationships before you ever need to raise — something he put into practice when we raised our $10M round led by Sequoia. Episode 2 of the Founder Diligence series (founderlm.substack.com), inspired by Joe Zuk's article: https://lnkd.in/eT9D2sdk

"How did you pull that off? That’s not normal." That was Pat Grady’s reaction when we shared that 100% of our pilots have gone to full production. In the current AI hype cycle, it’s easy to build a demo that dazzles. It is incredibly hard to build a workflow that survives the reality of insurance operations: messy data, complex edge cases, and zero tolerance for error. At Pace, we don’t just ship software; we do the hard work upfront to understand the domain as deeply as the carriers we serve. Our CEO Jamie Cuffe joined Pat and Lauren Reeder on the Training Data podcast to discuss what it actually takes to be the AI operations partner for the world's leading insurers. Check out the clip below and the full episode in the comments 👇

This was a surreal moment. When I started Pace, the goal was straightforward: build the AI operations partner the insurance industry has needed for a long time. I certainly didn't think I'd be seeing Pace on a billboard in Times Square, the heart of the city I've spent so long in. Thank you to the team who makes this possible every day, to our customers for their trust, and to our investors for their belief in what we're building. A lot more work ahead.