Pace

$10M led by @sequoia to build the AI operations partner for insurance Tens of thousands of complex transactions completed 1/100th the workforce of traditional BPOs Read the full post from our founder below ⬇️

@samaysham @tryramp @ThriveHoldings 👀

Join us for a fun evening with @tryramp, @ThriveHoldings, and @pacecom

@vral @ThriveHoldings @tryramp Immaculate vibes only

Come hang with the @ThriveHoldings @tryramp @pacecom teams next week in NYC

@glproductions @OpenAI It's generally usable now, within Pace! If you work at a carrier, broker, or MGA in P&C or Life Insurance reach out and we can get you started.

@pacecom @OpenAI Is this expected to become generally usable at any point in the near future?

Computer Use agents have crossed a major threshold for enterprise reliability. Over the past few months, we’ve partnered closely with @OpenAI to stress-test their new GPT 5.4 model on the hardest UIs out there: legacy insurance portals. @pacecom agents navigate dense admin interfaces 1000s of times a day to enter new risk submissions and claims. By collaborating directly with frontier labs, Pace Computer Use can now complete complex tasks on the same software your teams do at human accuracy and superhuman scale 24/7.

"The next $1T company will be a software company masquerading as a services firm." Spot-on piece from @JulienBek at @sequoia on the shift toward AI-enabled services. At @pacecom, 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.

To understand the 4 technical leaps that make Computer Use agents viable in production today, read this breakdown from @jamiecuffe x.com/jamiecuffe/sta…

@claudeai Read more from the Anthropic team alongside our experience with Sonnet 4.6 in the launch post: anthropic.com/news/claude-so…

Anthropic just released Sonnet 4.6, their most capable model for computer use. We've been testing it with the @claudeai 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 @AnthropicAI 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.

While the market panics over headlines, we’re busy deploying the reality. The future of insurance isn't about replacing the broker or carrier. It's about giving them superpowers. We see it in the data every single day.

The scaffolding is coming off AI agents. The way we build with AI agents is changing yet again. @jamiecuffe at @pacecom talks through how to build a vertical software company that accelerates along with every step change in model capability. With AI, the goal isn’t just to do the same work as humans. AI can handle the rote tasks and free people to apply our judgment wherever it’s needed most.

@gradypb @jamiecuffe Watch the full episode across podcast platforms: 🍎 Apple: seq.vc/8pw 🎧 Spotify: seq.vc/0ba 📺 YouTube: seq.vc/f10

"How did you pull that off? That's not normal." That was @gradypb's reaction when @jamiecuffe 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 much harder to build a product that survives real insurance operations: messy data, complex edge cases, and zero tolerance for error. We don't just ship software. We do the hard work upfront to understand the domain as deeply as the customers we serve. Jamie joined Pat and @laurenmhreeder on @sequoia's Training Data to discuss what it takes to become the AI operations partner for the world's leading insurers. Watch the clip below. 👇

Everyone asks: "Can AI really be as accurate as a human?" The honest answer? It has to be more accurate. Ops teams hire thousands and hope they all perform like the top 1%. But humans get tired. They have bad days. Quality variance is a feature of the model. At @pacecom, we solve for that variance. You scale the judgment of your absolute best worker—the one who never misses an edge case—infinite times. I joined @laurenmhreeder and @gradypb on @sequoia's Training Data podcast to talk about why the next decade of operations isn't just about labor arbitrage. It's about perfect consistency.

@jamiecuffe The future of operations isn't about throwing more bodies at the problem — it's about building systems that never miss. Great discussion with the @Sequoia team.

A surreal moment seeing Pace light up Times Square this week It's been an incredible few days since announcing our $10M fundraise led by @Sequoia. Seeing our name stand tall in NYC was a massive moment of validation for the team working hard behind the scenes. Pace was built to be the AI operations partner the insurance industry deserves. We're grateful for the recognition, and even more excited for the work ahead. Thank you to @Nasdaq for the warm welcome.

Good morning, NYC. ☀️ To celebrate our news, we’re fueling the insurance workforce today. The tabs are open. If you’re in P&C or Life insurance, grab a coffee on Pace at 5 locations across the city. Find your spot here: pace.insure/coffee

If you work in insurance operations and are as excited as us about automating complex insurance tasks, we’d love to chat! Book a demo on our website here: withpace.com/demo

$10M led by @sequoia to build the AI operations partner for insurance Tens of thousands of complex transactions completed 1/100th the workforce of traditional BPOs Read the full post from our founder below ⬇️

The insurance business boils down to sales, math, and operations. @pacecom applies AI to operations enabling the industry to repatriate everything from quotes to claims thus ensuring a superior client experience and lower insurance costs for all of us. Thrilled to partner with @jamiecuffe for a second time. He was born to do this!

The gap between "impressive demo" and "production work at regulated enterprises" is where most AI companies go to die. @withpace is bucking the trend, processing tens of thousands of tasks monthly at some of the largest insurers in the world. An epic example of long-running agents doing their thing. Congrats @jamiecuffe, @lmramirez_, @yeauxgi, @YonahMann and the whole team on the series A! We’re thrilled to be your partners.

@jackieberardo @jamiecuffe Thanks Jackie! Appreciate the support, and we also couldn't be more excited to make insurance easier, more efficient, and more accurate

I want AI to do my insurance and laundry so that I can write and make art... NOT the other way around. Ridiculously excited that @jamiecuffe and @pacecom are doing the hard work of making complex industries like insurance, easier, more efficient, and more accurate. MORE OF THIS.